{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current 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"}}},{"cell_type":"markdown","source":"*The image was generated by  [picsart.com generator](https://picsart.com/). The prompt: 'It is night. There are many stars in the night sky. The human-like robot is sitting under the sky and looking at the stars'.","metadata":{"_kg_hide-input":true}},{"cell_type":"markdown","source":"\n>\"Dubito ergo cogito, cogito ergo sum.\"\n (R.Decart)\n\n\n# What we have learned over 2021-2023 about AI ethics?","metadata":{}},{"cell_type":"markdown","source":"## Table of content:\n\n* [1. What is AI ethics?](#section_1)\n    - [1.1. What do respectable encyclodedias say about AI ethics?](#subsection_1.1)\n    - [1.2. What is the answer of the online search on the query 'AI ethics definitions'?](#subsection_1.2)\n    - [1.3. What do main tech giants say about AI ethics?](#subsection_1.3)\n    - [Summary on AI ethics definition](#subsection_1.4)\n* [2. What we have learned about AI Ethics from Kaggle Competitions](#section_2)\n    - [2.1. Analysing ML Kaggle Competitions 2021 - 2023](#subsection_2.1)\n    - [2.2. Analysing results of Kaggle Machine Learning & Data Science Survey](#subsection_2.2)\n* [3. What does arXiv dataset say about dynamics of AI Ethics during 2021-2023?](#section_3)\n    - [3.1. Quantitative analysis of arXive articles in 'AI ethics' category](#subsection_3.1)\n    - [3.2. WordCloud analysis of arXiv articles in 'AI ethics' category](#subsection_3.2)\n    - [3.3. Why AI ethical tools are not very popular among practitioners?](#subsection_3.3)\n      - [3.3.1. Technical level barriers](#subsection_3.3.1)\n      - [3.3.2. Organizational level barriers](#subsection_3.3.2)\n      - [3.3.3. Individual level barriers](#subsection_3.3.3)\n      - [3.3.4. Regulatory level barriers](#subsection_3.3.4)\n* [Conclusion](#section_4)\n* [References](#section_5)","metadata":{}},{"cell_type":"markdown","source":"\n\n\n\n<a id=\"section_1\"></a>\n## 1. What is AI ethics?\n\n<a id=\"subsection_1.1\"></a>\n### 1.1. What do respectable encyclodedias say about AI ethics? \n\nAn appeal to respectable encyclopedias could be a great start to answer the question. \n\n#### Britannica\n\nAn attempt to find the notion of 'AI ethics' in Britannica Encyclopedia has only led me to definitions of 'ethics' (see [1](http://www.britannica.com/topic/ethics-philosophy)).\n\nIn Britannica we can find some concerns on AI & Robotics in the article 'Pro and Con: Artificial Intelligence' [1.1](https://www.britannica.com/story/pro-and-con-artificial-intelligence):\n\n> \"Con:\n>- Artificial intelligence poses dangerous privacy risks.\n>- AI repeats and exacerbates human racism.\n>- AI will harm the standard of living for many people by causing mass unemployment as robots replace people.\"\n\n\n#### Stanford Encyclopedia of philosophy \n\nStanford encyclopedia of philosophy suggests the article on 'Ethics of Artificial Intelligence and Robotics' by Vincent C. Müller. The author doesn't suggest a clear definition for 'AI ethics' but says that it is very young field of scientific interest and has no authoritative overviews yet. It focuses on 'concerns' caused by new technologies and has few well-established issues. [17](https://plato.stanford.edu/entries/ethics-ai/)\n\nThe author describes main problem areas of the 'AI ethics' as follows:\n\n- Privacy & Surveillance\n- Manipulation of Behaviour\n- Opacity of AI Systems\n- Bias in Decision Systems\n- Human-Robot Interaction\n- Automation and Employment\n- Autonomous Systems (Vehicles, Weapons)\n- Machine Ethics\n- Artificial Moral Agents (Responsibility for Robots, Rights for Robots)\n- Singularity (Singularity and Superintelligence, Existential Risk from Superintelligence, Controlling Superintelligence).\n\n\n<a id=\"subsection_1.2\"></a>\n### 1.2. What is the answer of the online search on the query 'AI ethics definitions'?\n\nBelow we provide some first-page results of the online search on query 'AI ethics definitions':\n\n1)  TechTarget\n> \"AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technology.\" [5](https://www.techtarget.com/whatis/definition/AI-code-of-ethics)\n\n\n2) IBM\n\n> \"AI ethics is a set of guidelines that advise on the design and outcomes of artificial intelligence.\" [6](https://www.ibm.com/topics/ai-ethics)\n\n3) Wikipedia:\n\n> \"The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems <...> It is sometimes divided into a concern with the moral behavior of humans as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of machines, in machine ethics. It also includes the issue of a possible singularity due to superintelligent AI.\" [2](http://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence)\n\n\n4) UNESCO \n\n> \"AI ethics as a  systematic  normative  reflection,  based  on  a  holistic,  comprehensive,  multicultural  and  evolving  framework  of interdependent values, principles and actions that can guide  societies  in  dealing  responsibly  with  the  known  and  unknown  impacts  of  AI  technologies  on  human  beings,  societies  and  the  environment  and  ecosystems,  and offers them a basis to accept or reject AI technologies. It  considers  ethics  as  a  dynamic  basis  for  the  normative  evaluation and guidance of AI technologies, referring to human  dignity,  well-being  and  the  prevention  of  harm  as a compass and as rooted in the ethics of science and technology\" [4, p.10](https://unesdoc.unesco.org/ark:/48223/pf0000381137)\n\n5) c3.ai\n\n> \"Ethical AI is artificial intelligence that adheres to well-defined ethical guidelines regarding fundamental values, including such things as individual rights, privacy, non-discrimination, and non-manipulation.\" [7](https://c3.ai/glossary/artificial-intelligence/ethical-ai/)\n\n\n6) The Allan Turing Institute\n\n> \"AI ethics is a set of values, principles, and techniques that employ widely accepted standards of right and wrong to guide moral conduct in the development and use of AI technologies.\" [3, p. 3](https://doi.org/10.5281/zenodo.3240529)\n\n\n**Summarizing key words** used to describe 'AI ethics' in these definitions it is possible to highlight three groups:\n\n* **system, set of values, principles**\n* **concern**\n* **normative reflection** \n\nin the process of developing / use of AI technologies.\n\n\nAll these definitions base AI ethics on moral standards (what is right and what is wrong), which should be applied by those who develop or use AI technologies. It means that AI ethics regulates the behavior of developers (practitioners) and users of AI. \n\n\nIt is interesting that on the first page of the online search there are only two definitions by tech companies (IBM, c3.ai). What other tech giants say on the problem?","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_1.3\"></a>\n### 1.3. What do main tech giants say about AI ethics?\n\nAnalysing the websites of some tech players at AI field let us compile their approaches to AI ethics in the Figure 1.\n\n**Figure 1: Approaches of tech companies to AI ethics**\n![ai_firmas.jpg](attachment:303ac3b5-7919-4976-999c-395d28136ac6.jpg)\n\n\nIt is possible to see some similarities in the approaches of thech companies to AI ethics:\n\n- most of the tech giants talk about importance of development **Responsible AI**\n- the most common principles of responsible AI are: \n    * Fairness\n    * Privacy & Security\n    * Transparency,  Explainability, Accountability\n    * Reliability & Safety, Robustness.\n    \nTech giants establish **AI ethical boards** to ensure that AI systems are built responsibly (\nGoogle [9, p.15](https://ai.google/static/documents/ai-principles-2022-progress-update.pdf), Meta [10](https://ai.facebook.com/blog/facebooks-five-pillars-of-responsible-ai/) , Microsoft [13](https://www.microsoft.com/en-us/ai/our-approach?activetab=pivot1:primaryr5), IBM [6](https://www.ibm.com/topics/ai-ethics). OpenAI says about monitoring the usage of OpenAI tools and updating safety mitigations based on what they 'learn about model risks and capabilities' [16](https://openai.com/safety-standards)).","metadata":{},"attachments":{"303ac3b5-7919-4976-999c-395d28136ac6.jpg":{"image/jpeg":"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id=\"subsection_1.4\"></a>\n## Summary on AI ethics definition\n\nAt the present time science has **no well-established definition of 'AI ethics'** (for example, one of the most respectable encyclopedias (Britannica) doesn't include the term of 'AI ethics' in its thesaurus.\nThere are two approaches to the 'AI ethics' problem:\n\n- philosophical approach (looks at the AI ethics from perspective of possible **concerns** arised by developing / using AI technologies); \n- practical approach (looks at the AI ethics from the perspective of the **responsible** developing, deploying and use of AI technologies).\n\nTaking into account all the definitions above we will understand **AI ethics as \"a  dynamic  basis  for  the  normative  evaluation and guidance of AI technologies\"** [4, p.10]. Relations between AI ethics components could be shown as a cyclical process (Figure 2).\n\n\n\n**Figure 2: Cyclical relationship between AI ethics 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id=\"section_2\"></a>\n## 2. What we have learned about AI Ethics from Kaggle Competitions","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_2.1\"></a>\n### 2.1. Analysing ML Kaggle Competitions 2021 - 2023\n\nKaggle Competitions provide the possibility to solve some real-world problems by the means of Data Science & Machine Learning. Everybody can bring the problem to solve through data competitions. That's why analysis of the Kaggle Competitions topics can give a review on the some destinations of interests in the Data Science field.\n\nDue to the rules of the '2023 Kaggle AI Report' competition we'll analyse the materials of the last 2 years. So we'll select Kaggle Competitions of 2021-2023.\n\nAt first let's look at the Kaggle Competitions dataset.","metadata":{}},{"cell_type":"code","source":"# download dataset of kaggle writups\ndf_kc = pd.read_csv('/kaggle/input/kaggle-competitions/kaggle_writeups_1306_05202023.csv')\n\n# view first five rows of dataset\ndf_kc.head()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:43.622914Z","iopub.execute_input":"2023-07-16T12:06:43.623363Z","iopub.status.idle":"2023-07-16T12:06:44.158169Z","shell.execute_reply.started":"2023-07-16T12:06:43.623316Z","shell.execute_reply":"2023-07-16T12:06:44.157067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# look at data type\ndf_kc.info()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:47.870239Z","iopub.execute_input":"2023-07-16T12:06:47.870674Z","iopub.status.idle":"2023-07-16T12:06:47.925882Z","shell.execute_reply.started":"2023-07-16T12:06:47.870640Z","shell.execute_reply":"2023-07-16T12:06:47.924599Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# To select data by date let's change dtype of the 'Date of Writeup' column from 'object' type to 'datetime' type.\n# change format of the 'Date of Writeup' column to date\ndf_kc[['Competition Launch Date', 'Date of Writeup']]= df_kc[['Competition Launch Date', 'Date of Writeup']].apply(pd.to_datetime)\n\n# check data types\ndf_kc.info()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:50.368264Z","iopub.execute_input":"2023-07-16T12:06:50.368707Z","iopub.status.idle":"2023-07-16T12:06:50.838720Z","shell.execute_reply.started":"2023-07-16T12:06:50.368675Z","shell.execute_reply":"2023-07-16T12:06:50.837498Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# We'll select writeups of 2021, 2023 and 2023\nlast_years = df_kc[df_kc['Competition Launch Date'].dt.year >= 2021]\n# look at first five rows of the dataframe with writeups oflast 2 years\nlast_years.head()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:53.209656Z","iopub.execute_input":"2023-07-16T12:06:53.210063Z","iopub.status.idle":"2023-07-16T12:06:53.234783Z","shell.execute_reply.started":"2023-07-16T12:06:53.210030Z","shell.execute_reply":"2023-07-16T12:06:53.233427Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# rename 'Title of competition' column to 'title'\n\nlast_years.rename(columns = {'Title of Competition':'title'}, inplace = True)\n \n# create a dataframe with unique names of Kaggle competition\n\nkc_names = last_years.drop_duplicates('title')\n\n# check if there are missing values in kc_names\nkc_names.isna().sum()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:55.978925Z","iopub.execute_input":"2023-07-16T12:06:55.979482Z","iopub.status.idle":"2023-07-16T12:06:55.999394Z","shell.execute_reply.started":"2023-07-16T12:06:55.979439Z","shell.execute_reply":"2023-07-16T12:06:55.998185Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Now let's count the number of Kaggle Competitions during 2021 - 2023","metadata":{}},{"cell_type":"code","source":"# print number of unique kaggle competitions\nnkc = last_years['title'].nunique()\nprint(f'During 2021 - 2023 there were lunched {nkc} Kaggle Competitions.')","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:06:59.947573Z","iopub.execute_input":"2023-07-16T12:06:59.947962Z","iopub.status.idle":"2023-07-16T12:06:59.954398Z","shell.execute_reply.started":"2023-07-16T12:06:59.947933Z","shell.execute_reply":"2023-07-16T12:06:59.952902Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Let's look at the list of Kaggle Competitions titles during 2021 - 2023. ","metadata":{}},{"cell_type":"code","source":"# look at unique names of Kaggle competition\n\nprint(kc_names[['title']].to_string(index=False))","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:07:05.313153Z","iopub.execute_input":"2023-07-16T12:07:05.313637Z","iopub.status.idle":"2023-07-16T12:07:05.322618Z","shell.execute_reply.started":"2023-07-16T12:07:05.313605Z","shell.execute_reply":"2023-07-16T12:07:05.321276Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The list of titles doesn't make sense of what the main topics were. To highlight the most important destinations of Kaggle Competitions interests it could be fruitful to create a WordCloud of the titles.","metadata":{}},{"cell_type":"code","source":"# MAKE a WORD CLOUD for topics of competitions 2021-2023\n\n\nfrom wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\nimport matplotlib.pyplot as plt\n\n# Create stopword list\n# stopword list includes the most expectable words due to 'AI ethics' topic\n\nstopwords = set(STOPWORDS)\nstopwords.update(['s', 'id', 'machine', 'learning', 'AI', 'among', 'using', 'via', 'towards', 'approach', 'based', 'Recommendations', 'March', 'Mania', 'Matching', 'Recognition', 'Identification', 'Forecasting', 'Classification', 'Prize', 'Detection', 'detection', 'Google', 'Prediction', 'prediction', 'Challenge', 'challenge', 'FGVC9', 'FGVC8'])\n# add data in a variable text\ntext = ' '.join(kc_names['title'].tolist())\n\nwordcloud = WordCloud(stopwords=stopwords, background_color=\"white\").generate(text)\n\n# display the generated image \nplt.imshow(wordcloud, interpolation = 'bilinear')\nplt.axis('off')\nplt.title('Word Cloud for Kaggle Competitions titles (2021-2023)')\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:07:18.563218Z","iopub.execute_input":"2023-07-16T12:07:18.563623Z","iopub.status.idle":"2023-07-16T12:07:19.166983Z","shell.execute_reply.started":"2023-07-16T12:07:18.563593Z","shell.execute_reply":"2023-07-16T12:07:19.165707Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We see that main interests of Kaggle ML Competitions were connected to Human and RSNA. There are no topics on AI ethics. RSNA is a Radiological Society of North America. 'RSNA promotes excellence in patient care and health care delivery through education, research and technologic innovation', applying AI innovations in radiology [18](https://www.rsna.org/about). Taking in attention that 'image' & 'cell' were also one of the most frequent words in Kaggle Competition titles we can suppose that the main trend in 2021-2023 was image recognition on radiology data.\nThis information doesn't provide us with any insights on AI ethics except the one: **AI ethics was not the subject of interest of Kaggle Machine Learning Competitions in 2021-2023.**\n\n\n\n\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_2.2\"></a>\n### 2.2. Analysing results of Kaggle Machine Learning & Data Science Survey\n\nAt the same time, every year Kaggle conducts the Kaggle Machine Learning & Data Science Survey. This 'industry-wide survey that presents a truly comprehensive view of the state of data science and machine learning.' [19](https://www.kaggle.com/competitions/kaggle-survey-2022)\n\n**In 2022 question about applying AI ethical tools by survey participants appears in Kaggle Survey first time.** \n\nWorking professionals were suggested to answer the question (Q41):\n- *'Do you use any of the following responsible or ethical AI products in your machine learning practices? (Select all that apply)'*\n[20].\n\nThe distribution of responses is shown below:","metadata":{}},{"cell_type":"code","source":"# download the data on kaggle survey 2022\n\nks_2022 = pd.read_csv('/kaggle/input/edit-kaggle-survey-2022/edit_kaggle_survey_2022_responses.csv', low_memory=False)\n\n# look which ethical tools are used by kagglers in 2022\n# count non-missing values in columns with prefix 'ethical_'\nnon_nan_counts = {}\ntotal_sum = 0\nfor col, data in ks_2022.items():\n    if col.startswith('ethic'):\n        non_nan_counts[col] = data.notnull().sum()\nprint(non_nan_counts)\nprint(f'Total sum of kaggle working professionals {sum(non_nan_counts.values())}')","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:08:59.503753Z","iopub.execute_input":"2023-07-16T12:08:59.504198Z","iopub.status.idle":"2023-07-16T12:09:00.953286Z","shell.execute_reply.started":"2023-07-16T12:08:59.504167Z","shell.execute_reply":"2023-07-16T12:09:00.952200Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# plot frequencies of using responsible AI tools by kagglers in 2022\n\nethic_tools = list(non_nan_counts.keys())\nethic_users = list(non_nan_counts.values())\ntool_names = [\"Google Responsible AI Toolkit \", \"Microsoft Responsible AI Resources\", \"IBM AI Ethics tools\", \"Amazon AI Ethics Tools\", \"The LinkedIn Fairness Toolkit\", \"Audit-AI\", \"Aequitas\", \"None\", \"Other\"] \nplt.figure(figsize = (15, 8))\n\nplt.bar(ethic_tools, ethic_users, color = 'lightskyblue', width = 0.7)\n\nplt.xlabel('Responsible or ethical AI products')\nplt.xticks(ethic_tools, tool_names, rotation = 80)\nplt.ylabel('Number of Kaggle professionals')\nplt.title(\"Number of Kaggle professionals on applying Responsible or ethical AI products in 2022\")\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:09:10.101334Z","iopub.execute_input":"2023-07-16T12:09:10.102533Z","iopub.status.idle":"2023-07-16T12:09:10.844813Z","shell.execute_reply.started":"2023-07-16T12:09:10.102493Z","shell.execute_reply":"2023-07-16T12:09:10.843893Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# make bar plot of using & not using ethical AI tool (%)\n# count percentage of kagglers not / using ethical AI\n\n# count total number of kagglers using AI ethical tools\nusing_eai = ((sum(non_nan_counts.values()))- non_nan_counts['ethical_none'])\n\n# count percentage of kagglers using AI ethical tools\npercent_using_eai = round(using_eai/sum(non_nan_counts.values())*100)\n\n# count percentage of kagglers not using AI ethicaltools\npercent_not_using_eai = round(non_nan_counts['ethical_none']/sum(non_nan_counts.values())*100)\n\nprint(f'Percentage of kagglers using ethical AI tools is {percent_using_eai}%')\nprint(f'Percentage of kagglers not using ethical AI tools is {percent_not_using_eai}%')","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:09:13.558101Z","iopub.execute_input":"2023-07-16T12:09:13.558539Z","iopub.status.idle":"2023-07-16T12:09:13.566827Z","shell.execute_reply.started":"2023-07-16T12:09:13.558503Z","shell.execute_reply":"2023-07-16T12:09:13.565234Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# plot the barchart for non/using ethical ai tools\n\nusers = ['Yes', 'No']\nusers_perc = [22, 78]\n\nplt.figure(figsize = (7, 5))\n\nplt.bar(users, users_perc, color = 'lightgreen', width = 0.7)\n\nplt.xlabel('Applying ethical AI products by Kaggle professionals')\n\nplt.ylabel('Kaggle professionals (%)')\nplt.title(\"Applying ethical AI products by Kaggle professionals (%), 2022\")\n\nfor i, v in enumerate(users_perc):\n    plt.text(i, v+1, str(v), ha = 'center')\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:09:16.928806Z","iopub.execute_input":"2023-07-16T12:09:16.929473Z","iopub.status.idle":"2023-07-16T12:09:17.216528Z","shell.execute_reply.started":"2023-07-16T12:09:16.929429Z","shell.execute_reply":"2023-07-16T12:09:17.215339Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Only 22% of Kaggle professionals use AI ethical tools in their job. Why AI ethical tools are not requered by Kaggle ML practitioniers? May be the tasks of ML development of Kaggle survey participants don't suppose ethical issues? For better understanding the situation we decided to look at the AI experience of the members of another platform for developers. We reffered to the survey conducted in 2022 by Stack Overflow to find out if the members of the Stack Overflow community are aware of the AI ethical tools. [21](https://survey.stackoverflow.co/2022#methodology-general) \n\nIn 2022 Stack Overflow asked participants about programming, scripting, and markup languages, about databases and cloud platforms, etc. There were no any questions about responsible AI or AI ethical tools. The section on AI itself was included  in Stack Overflow Survey in 2023  only.\n\nStack Overflow Labs write-up points at **developers scepticism in the question of AI due to its risks & because AI tools aren’t able to handle complex systems just yet**. At the same time Stack Overflow Survey participants are curious about AI tools: 44% of professional developers use AI tools now and 26% plan to soon  [22.1](https://stackoverflow.co/labs/developer-sentiment-ai-ml/)\n\n>Regardless of being a professional developer or someone learning to code, people believe that their development workflow will be different in a year because of AI tools. [22.2](https://survey.stackoverflow.co/2023/#ai-developer-tools)\n\nTaking into account that the survey was conducted in March 2023 but hot discussion around AI ethics has arised after March, 2023 and referring to the increasing AI tools impact to developers we can suppose that Stack Overflow Survey 2024 will include the question about applying AI ethical tools by developers.\n\nThe Stack Overflow Survey has revealed that the use of the AI tools themselves is limited by the complexity of the systems in which they are used. So it is possible that this task complexity affects the applying AI ethical tools too. So we can **suppose that AI practitioners encounter some obstacles in applying AI ethical tools**. On the other hand it is possible that **job tasks don't require applying AI ethical tools.**\n\nTo understand this issue we refer to the arXiv dataset which contains metadata of 1.7 million articles on wide range of scientific researches.","metadata":{}},{"cell_type":"markdown","source":"<a id=\"section_3\"></a>\n## 3. What does arXiv dataset say about dynamics of AI Ethics during 2021-2023?","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_3.1\"></a>\n### 3.1. Quantitative analysis of arXive articles in 'AI ethics' category\n\nLet's see what the data of arXiv dataset looks like.","metadata":{}},{"cell_type":"code","source":"# download arxiv dataset\n# to write this code I've used Chat GPT-4\n# prompt: 'write python code to extract rows from .json file and save it as dataframe'\n\n# import python program to read json file\n\nimport json\n\n# read the json file into in object \n\nwith open('/kaggle/input/arxiv/arxiv-metadata-oai-snapshot.json') as f:\n    lines = f.read().splitlines()\n\n# load the 'lines' object into a Pandas data frame:\n\narxive_inter = pd.DataFrame(lines)\narxive_inter.columns = ['json_element']\n\n# decoding json elements into dictionary\n\narxive_inter['json_element'].apply(json.loads) \n\n\n# converting JSON 'keys' to columns and its corresponding values to row elements \n\narxive_final = pd.json_normalize(arxive_inter['json_element'].apply(json.loads))\n\narxive_final.head()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:26:33.773114Z","iopub.execute_input":"2023-07-16T12:26:33.774474Z","iopub.status.idle":"2023-07-16T12:31:12.689588Z","shell.execute_reply.started":"2023-07-16T12:26:33.774435Z","shell.execute_reply":"2023-07-16T12:31:12.688400Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# check the data type of the arxive_final data frame\narxive_final.info()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:31:17.983176Z","iopub.execute_input":"2023-07-16T12:31:17.983630Z","iopub.status.idle":"2023-07-16T12:31:17.996810Z","shell.execute_reply.started":"2023-07-16T12:31:17.983595Z","shell.execute_reply":"2023-07-16T12:31:17.995813Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# To select articles of 2021-2023 years only we change data type of 'update_date' column from 'object' into 'datetime'.\n# change the data type of 'update_date' to date-time type\n\narxive_final[['update_date']] = arxive_final[['update_date']].apply(pd.to_datetime)\narxive_final.info()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:31:38.696667Z","iopub.execute_input":"2023-07-16T12:31:38.697063Z","iopub.status.idle":"2023-07-16T12:31:41.724332Z","shell.execute_reply.started":"2023-07-16T12:31:38.697035Z","shell.execute_reply":"2023-07-16T12:31:41.723056Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# select articles 2021+ (to write this code I've used ChatGPT-4:\n# prompt: 'For the dataset  https://www.kaggle.com/datasets/Cornell-University/arxiv write a code in python to extract  all rows \n#which contain first five letters of the word 'ethics' and at the same time contain 'AI'.'' \n\narxive_fresh = arxive_final[arxive_final['update_date'].dt.year >= 2021]\n\n# select articles contained in title or in abstract 'ethic & AI'\n\narxive_ethics = arxive_fresh[(arxive_fresh['abstract'].str.contains(r'\\bethic', case = False, regex = True))&((arxive_fresh['title'].str.contains('AI', case = False)) | (arxive_fresh['title'].str.contains('Artificial Intelligence', case = False)))]\n\nnae = arxive_ethics['id'].nunique()\nprint(f'After selecting articles on \"AI ethics\" category in 2021-2023 {nae} articles left.')\n","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:32:10.866855Z","iopub.execute_input":"2023-07-16T12:32:10.867316Z","iopub.status.idle":"2023-07-16T12:32:36.826605Z","shell.execute_reply.started":"2023-07-16T12:32:10.867285Z","shell.execute_reply":"2023-07-16T12:32:36.825187Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"For understanding **the dynamics of 'AI ethics' in the science field during 2021 - 2023** we'll compare number of the selected aticles printed every year.","metadata":{}},{"cell_type":"markdown","source":"We'll compare number of articles on 'AI ethics' up to June 22 in 2021, 2022 and 2023.","metadata":{}},{"cell_type":"code","source":"# look how many articles on 'Ethics AI' category was published in 2022 till 2022-06-22\n\n# select articles on ethics AI in 2023 \nethics23 = arxive_ethics[arxive_ethics['update_date'].dt.year==2023]\nstart_date_23 = '2023-01-01'\nend_date_23 = '2023-06-22'\nethics23_22june = ethics23[(ethics23['update_date'] >= start_date_23)&(ethics23['update_date'] <= end_date_23)]\n\n# select articles on ethics AI in 2022 \n\nethics22 = arxive_ethics[arxive_ethics['update_date'].dt.year==2022]\nstart_date_22 = '2022-01-01'\nend_date_22 = '2022-06-22'\nethics22_22june = ethics22[(ethics22['update_date'] >= start_date_22)&(ethics22['update_date'] <= end_date_22)]\n\n# look how many articles on 'Ethics AI' category was published in 2021 till 2021-06-22\n\n# select articles on ethics AI in 2021 \n\nethics21 = arxive_ethics[arxive_ethics['update_date'].dt.year==2021]\nstart_date_21 = '2021-01-01'\nend_date_21 = '2021-06-22'\nethics21_22june = ethics21[(ethics21['update_date'] >= start_date_21)&(ethics21['update_date'] <= end_date_21)]\n\n\n# plot the differencies in numbers of articles on AI&ethics \n# in 2021, 2022, 2023 at the same period (up to 22 June)\n# make a list of data for three years to compare\nethics_by_year = {'up to June 22, 2021':len(ethics21_22june), 'up to June 22, 2022':len(ethics22_22june), 'up to June 22, 2023':len(ethics23)}\n\nyears = list(ethics_by_year.keys())\nvalues = list(ethics_by_year.values())\n\n# set the figure size\nplt.figure(figsize=(10, 5))\n\n# plot the bar plot\nplt.bar(years, values, color = 'rosybrown', width = 0.8)\n\n# Add labels and title\nplt.xlabel('Dates')\nplt.ylabel('Number of articles')\nplt.title('Number of arXiv articles in \"AI ethics\" category by Year, 2021-2023')\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:35:34.226746Z","iopub.execute_input":"2023-07-16T12:35:34.227251Z","iopub.status.idle":"2023-07-16T12:35:34.478429Z","shell.execute_reply.started":"2023-07-16T12:35:34.227214Z","shell.execute_reply":"2023-07-16T12:35:34.477165Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The bar plot above shows that **number of articles in 'AI ethics' category rapidly increasing in 2023**, while 2021 and 2022 this number remains approximately at the same level. **It could be explained by release of the last version of ChatGPT** and public (and Government) concerns on its applying by wide range of users. *To check our hypothesis about ChatGPT we'll plot a line chart of articles number for every month for 2021, 2022 and 2023.*","metadata":{}},{"cell_type":"code","source":"# look the dinamic of arXiv articls in 'AI ethics' category in 2021, 2022, 2023 by months\n\narxiv_jan21 = ethics21[ethics21['update_date'].dt.month == 1]\narxiv_feb21 = ethics21[ethics21['update_date'].dt.month == 2]\narxiv_mart21 = ethics21[ethics21['update_date'].dt.month == 3]\narxiv_april21 = ethics21[ethics21['update_date'].dt.month == 4]\narxiv_may21 = ethics21[ethics21['update_date'].dt.month == 5]\narxiv_june21 = ethics21[ethics21['update_date'].dt.month == 6]\n\n\narxiv_jan22 = ethics22[ethics22['update_date'].dt.month == 1]\narxiv_feb22 = ethics22[ethics22['update_date'].dt.month == 2]\narxiv_mart22 = ethics22[ethics22['update_date'].dt.month == 3]\narxiv_april22 = ethics22[ethics22['update_date'].dt.month == 4]\narxiv_may22 = ethics22[ethics22['update_date'].dt.month == 5]\narxiv_june22 = ethics22[ethics22['update_date'].dt.month == 6]\n\narxiv_jan23 = ethics23[ethics23['update_date'].dt.month == 1]\narxiv_feb23 = ethics23[ethics23['update_date'].dt.month == 2]\narxiv_mart23 = ethics23[ethics23['update_date'].dt.month == 3]\narxiv_april23 = ethics23[ethics23['update_date'].dt.month == 4]\narxiv_may23 = ethics23[ethics23['update_date'].dt.month == 5]\narxiv_june23 = ethics23[ethics23['update_date'].dt.month == 6]\n\nmonths21 = {'January': len(arxiv_jan21), 'February': len(arxiv_feb21), 'Mart': len(arxiv_mart21), 'April':len(arxiv_april21), 'May':len(arxiv_may21), 'June': len(arxiv_june21)}\nkeys_month21 = months21.keys()\nval_month21 = months21.values()\n\nmonths22 = {'January': len(arxiv_jan22), 'February': len(arxiv_feb22), 'Mart': len(arxiv_mart22), 'April':len(arxiv_april22), 'May':len(arxiv_may22), 'June': len(arxiv_june22)}\nkeys_month22 = months22.keys()\nval_month22 = months22.values()\n\nmonths23 = {'January': len(arxiv_jan23), 'February': len(arxiv_feb23), 'Mart': len(arxiv_mart23), 'April':len(arxiv_april23), 'May':len(arxiv_may23), 'June':len(arxiv_june23)}\nkeys_month = months23.keys()\nval_month = months23.values()\n\nplt.figure(figsize = (10, 5))\nplt.plot(keys_month21, val_month21, color = 'yellow', marker = 'o', label = '2021')\nplt.plot(keys_month22, val_month22, color = 'green', marker = 'o', label = '2022')\nplt.plot(keys_month, val_month, color = 'blue', marker = 'o', label = '2023')\n\nplt.ylabel('Number of arXiv articles in \"AI ethics\" category')\nplt.title('Number of arXive articles in \"AI ethics\" category by months, 2021-2023')  \nplt.legend()\n\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:36:12.470917Z","iopub.execute_input":"2023-07-16T12:36:12.471396Z","iopub.status.idle":"2023-07-16T12:36:12.867706Z","shell.execute_reply.started":"2023-07-16T12:36:12.471337Z","shell.execute_reply":"2023-07-16T12:36:12.866451Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The plot above reflects significant difference in the number of articls in April: during 2021 and 2022 the number of 'AI ethics' articles decreasing while in 2023 this number increasing with following 'jump' in May. ChatGPT-4 was releases on March 14, 2023 [23](https://en.wikipedia.org/wiki/GPT-4#:~:text=It%20was%20released%20on%20March,being%20provided%20via%20a%20waitlist.). So that **since April 2023 surge of articles in 'AI ethics' category probably could be explained by scientific community reflection on the Chat GPT-4 impacts.** For better understanding the 'explosion' of articles in 'AI ethics' category in April, 2023 we'll make a qualitative analysis of arXiv articles.","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_3.2\"></a>\n### 3.2. WordCloud analysis of arXiv articles in 'AI ethics' category\n\nTo gain more insights about state of AI ethics we'll create a **Word Cloud of the selected article titles.**  We've updated Stopwords list with non-informative for our goals words like 'ethics' (the presence of this word is expectable, because the list already includes articles in the title of which should contain 'ethics'), 'responsible' (this word is used like synonym of 'ethical' applying to AI), 'method(s)' & 'model(s) (these words are expectable for AI topics).","metadata":{}},{"cell_type":"code","source":"# make a wordcloud for arxive_ethics\n\n# add data in a variable text\ntext_arxive = ' '.join(arxive_ethics['title'].tolist())\n\n# create and generate a word cloud image for arxive_ethics\nstopwords.update(['responsible', 'model', 'models', 'method', 'methods', 'analysis', 'study', 'survey', 'machine', 'paper', 'system', 'systems', 'review', 'ethics', 'Artificial','Intelligence', 'research', 'ai', 'ethical', 'ethic', 'among', 'using', 'via', 'towards', 'approach', 'based', 'Recommendations', 'March', 'Mania', 'Matching', 'Recognition', 'Identification', 'Forecasting', 'Classification', 'Prize', 'Learning', 'Detection', 'detection', 'Google', 'Prediction', 'prediction', 'Challenge', 'challenge', 'FGVC9', 'FGVC8'])\nwordcloud_arxive = WordCloud(stopwords=stopwords, background_color=\"white\").generate(text_arxive)\n\n# display the generated image \nplt.imshow(wordcloud_arxive, interpolation = 'bilinear')\nplt.axis('off')\nplt.title('Word Cloud for arXiv titles of articles on \"AI ethics\" (2021-2023)')\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:37:06.677880Z","iopub.execute_input":"2023-07-16T12:37:06.678389Z","iopub.status.idle":"2023-07-16T12:37:07.145871Z","shell.execute_reply.started":"2023-07-16T12:37:06.678334Z","shell.execute_reply":"2023-07-16T12:37:07.144889Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Accoding to this Word Cloud we suppose that **the main AI ethics concerns in 2021 - 2023 were:**\n\n- Fairness (Fair)\n- Data\n- Human\n- Framework (modelling framework for applyin AI tools?)\n- Practice (how AI ethics tools are used in practice?)\n- Explainable (explainability of AI tools?).\n\nTo make better sense of the dynamic of 'AI ethics' topic during 2021 - 2023 we'll create three separate Word Clouds for each year.","metadata":{}},{"cell_type":"code","source":"# make wordcloud for arXiv titles on 'AI ethics' 2021-2023 side by side\n# to write this code i've used Chat GPT-4. \n# Prompt: 'write python code to show several word clouds next to each other '\n\n# add data in a variable text_ethics21\ntext_ethics21 = ' '.join(ethics21['title'].tolist())\n\n# add data in a variable text_ethics22\ntext_ethics22 = ' '.join(ethics22['title'].tolist())\n\n# add data in a variable text_ethics23\ntext_ethics23 = ' '.join(ethics23['title'].tolist())\n\n# Sample text data\ntexts_titles = [text_ethics21, text_ethics22, text_ethics23]\n    \n# Create subplots\nnums_plots = len(texts_titles)\nfig, axes = plt.subplots(1, nums_plots, figsize=(18, 10))\n\n# Generate word clouds for each text\nfor i in range(nums_plots):\n    wordcloud_side_titles = WordCloud(stopwords=stopwords, background_color=\"white\").generate(texts_titles[i])\n\n    # Plot word cloud on subplot\n    axes[i].imshow(wordcloud_side_titles, interpolation='bilinear')\n    axes[i].set_title(f\"Word Cloud for arXiv titles on 'AI ethics' {i+2021}\")\n\n    # Remove axis ticks and labels\n    axes[i].axis('off')\n\n# Adjust spacing between subplots\nplt.subplots_adjust(wspace=0.2)\n\n# Show the plot\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:37:10.678799Z","iopub.execute_input":"2023-07-16T12:37:10.679245Z","iopub.status.idle":"2023-07-16T12:37:11.633300Z","shell.execute_reply.started":"2023-07-16T12:37:10.679214Z","shell.execute_reply":"2023-07-16T12:37:11.632276Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"A brief look at these word clouds let gain some insights.\n\n**Topics that ramain in trend of 'AI ethics' concerns during all the period (2021-2023):**\n\n- 'Fairness' \n- 'Human'\n\n**Topics that lost their positions in 'AI ethics' field:**\n\n- 'Data' becomes less accentuated in 2023\n- 'Governance' & 'Risk' recede into the background after 2021\n\n**Trends in 'AI ethics' category that increased in 2022:**\n\n- 'Social'\n- 'Practice'\n- 'Language'\n\n**Trends in 'AI ethics' category emerging in 2023:**\n\n- 'ChatGPT'\n- 'Generative'\n- 'Education'","metadata":{}},{"cell_type":"markdown","source":"We see that 'ChatGPT' & 'Generative' are the most frequent words in 2023. **It confirms our assumption that the article surge in 'AI ethics' category in April, 2023 is most likely caused by release of ChatGPT-4 and its impacts.**","metadata":{}},{"cell_type":"markdown","source":"<a id=\"subsection_3.3\"></a>\n### 3.3. Why AI ethical tools are not very popular among practitioners? ","metadata":{}},{"cell_type":"markdown","source":"In this part of our essay we'll try to understand why AI ethical tools are applied only by 22 % of Kaggle practitioners. Earlier we supposed that **AI practitioners encounter some obstacles in applying AI ethical tools or may be job tasks don't require applying AI ethical tools.**\n\nTo check our assumption we'll create a data frame with articles in 'AI ethics' category that contains word 'practice' in title, 'practitioners' or 'developers' either in title or in abstracts. Then we'll count the number of this articles. ","metadata":{}},{"cell_type":"code","source":"# create a data frame with articles in 'AI ethics' category that contain words \n# 'practitioners' or 'developers' in the abstracts.\n\npract = arxive_ethics[(arxive_ethics['abstract'].str.contains('practitioners', case = False)) | (arxive_ethics['title'].str.contains('practitioners', case = False)) | (arxive_ethics['abstract'].str.contains('developers', case = False)) | (arxive_ethics['title'].str.contains('developers', case = False)) | (arxive_ethics['title'].str.contains('practice', case = False))]\nprn = pract['id'].nunique()\n\n# count articles in 'AI ethics' category that contain words \n# 'practitioners' or 'developers' in the abstracts by years\n\npract21 = pract[pract['update_date'].dt.year == 2021]\nnumber21 = pract21['id'].nunique()\npract22 = pract[pract['update_date'].dt.year == 2022]\nnumber22 = pract22['id'].nunique()\npract23 = pract[pract['update_date'].dt.year == 2023]\nnumber23 = pract23['id'].nunique()\nprint(f'The number of articles in \"AI ethics & Pratitioners\" category in 2021 is {number21}')\nprint(f'The number of articles in \"AI ethics & Pratitioners\" category in 2022 is {number22}')\nprint(f'The number of articles in \"AI ethics & Pratitioners\" category in 2023 is {number23}')\nprint(f'The total number of articles in \"AI ethics & Pratitioners\" category during 2021-2023 is {prn} ')","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:37:25.862656Z","iopub.execute_input":"2023-07-16T12:37:25.863079Z","iopub.status.idle":"2023-07-16T12:37:25.910420Z","shell.execute_reply.started":"2023-07-16T12:37:25.863047Z","shell.execute_reply":"2023-07-16T12:37:25.907688Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Compare articles in  \"AI ethics & Pratitioners\" category 2021, 2022, 2023\n\n# look how many articles in \"AI ethics & Pratitioners\" category was published in 2023 till 2023-06-22\n\nstart_date_23 = '2023-01-01'\nend_date_23 = '2023-06-22'\npract23_22june = pract23[(pract23['update_date'] >= start_date_23)&(pract23['update_date'] <= end_date_23)]\n\n# look how many articles in \"AI ethics & Pratitioners\" category was published in 2022 till 2022-06-22\n\nstart_date_22 = '2022-01-01'\nend_date_22 = '2022-06-22'\npract22_22june = pract22[(pract22['update_date'] >= start_date_22)&(pract22['update_date'] <= end_date_22)]\n\n# look how many articles on 'Ethics AI' category was published in 2021 till 2021-06-22\n\nstart_date_21 = '2021-01-01'\nend_date_21 = '2021-06-22'\npract21_22june = pract21[(pract21['update_date'] >= start_date_21)&(pract21['update_date'] <= end_date_21)]\n\n# plot the differencies in numbers of articles in  \"AI ethics & Pratitioners\" category\n# in 2021, 2022, 2023 at the same period (up to 22 June)\n# make a list of data for three years to compare\npract_by_year = {'up to June 22, 2021':len(pract21_22june), 'up to June 22, 2022':len(pract22_22june), 'up to June 22, 2023':len(pract23)}\n\nyears_pract = list(pract_by_year.keys())\nvalues_pract = list(pract_by_year.values())\n\n# set the figure size\nplt.figure(figsize=(10, 5))\n\n# plot the bar plot\nplt.bar(years_pract, values_pract, color = 'tan', width = 0.8)\n\n# Add labels and title\nplt.xlabel('Dates')\nplt.ylabel('Number of articles')\nplt.title('Number of arXiv articles in \"AI ethics & Pratitioners\" category by Year, 2021-2023')\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:39:00.001278Z","iopub.execute_input":"2023-07-16T12:39:00.001729Z","iopub.status.idle":"2023-07-16T12:39:00.300866Z","shell.execute_reply.started":"2023-07-16T12:39:00.001696Z","shell.execute_reply":"2023-07-16T12:39:00.299569Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The bar plot above shows a steady growth in number of articles on \"AI ethics & Practitioners\" category since 2021 up to now. It means that **scientific community recognizes the increasing of practice issues in the \"AI ethics\" field.**  \n\nThe wordcloud above (see 3.2. section of the essay) also reflects the increasing the weight of 'practice' topic in 2022.\n\nTo understand which AI ethics issues in practice are important we'll make qualitative analysis of the selected articles in \"AI ethics & Pratitioners\" category during 2021-2023.","metadata":{}},{"cell_type":"code","source":"# download metadata of articls in \"AI ethics & Pratitioners\" category during 2021-2023\n# into .csv file\n\npract_meta = pract[['update_date', 'title', 'abstract']].copy()\npract_meta.to_csv('pract_meta.csv', index = False)","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:40:42.211786Z","iopub.execute_input":"2023-07-16T12:40:42.212293Z","iopub.status.idle":"2023-07-16T12:40:42.238449Z","shell.execute_reply.started":"2023-07-16T12:40:42.212258Z","shell.execute_reply":"2023-07-16T12:40:42.236922Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Analysis of the selected articles on 'AI ethics & Practitioners' highlighted some barriers to the implementation of AI ethics principles in practice (Figure 3).\n\n\n**Figure 3: Barriers to the implementation of AI ethics principles in practice**\n\n\n![barriers.jpg](attachment:49424411-002c-453c-ad5b-b45b3786b276.jpg)","metadata":{},"attachments":{"49424411-002c-453c-ad5b-b45b3786b276.jpg":{"image/jpeg":"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jeIP+SL+Hf+vr/wCO15zQya8VFq3ZBRRRSMAooooAKKKKACnI7xSLJGxV1IZWU4II7im0UAe9eCfFCeJNIHmsBfW4Czr/AHvRx7H+ea6evnHQNbufD+rw39uc7TiRM8SIeqn/AD1xXuF/4t06x8MR66u6a3lAESp95mP8PtjBz9DWkZaHuYXFKdP33qjeornvCniy18VW07wwvBLAwEkbHOAc4IPfofyroao7ITjOPNHYKKKyfFEjw+FtUkidkdbWQqynBB2nkGgcnyps1qK5G01m5tPCc8DuZdUtXFlGWPMjtgRN75VlJ+hpmiahd6d4QtiZYp3FzNE91e3IRECyONzE8noAAP0pXMlWV/lc7GiuVj8WTT6ZHNb21tPcHUBYERz5iYkZDK+OmCO3rVuHW78LqkFxZQNe2IRtsU+I3VxkHcwG3GDn6cZouNVoPY2ltoUuZLlY1E0iqruBywGcA/TJ/Opa5aDxgiR6l9pNnObO3FxvsJ/NRwSRtzjhsgfmKsJrepWuo2ltqtnbQpcRSzF4Zi+wIASCCo556ii4KrDodDRXKad4xF5eWIkFiIL5tsSRXQeaIkEr5i44zjt0JAqMa5e3+hQahdWUUdtLcwpEsVw4cnzQpJwBge2TnvRcXt4NaHX0VzGteKZdHuJjLHYpBCV/dS3YE8ynGWRBn16Hk47Va0sn/hLNfGeAtt/6A1FyvaxcuVf1v/kapsLVr9b4wIbpU8tZSMsF9B6VYrnrnWtVN/qkFjYW0qaeULGSYq0mUD4UBTzyeT7UQ+ILrUNUtLfTrWFreazivHlmkKlUdiCAADk4H0ouJVIJ2R0NFcjbeNUuLi1kH2E2d1cCCNFugbhcnarsmOhOOM5ANWrTxFeXmqSQRWtq0Udy0EkP2jFwig48woRjb3xnp60XBV4PZnSUVzcPiK8udXmtoLW1ZIbkwPCbjbcbQcGQIRjb368j8qkn8RSRaLq9+LdS1hcSQqm7hwpAyfTrRcftY7nQUVgPrt0ur6nEbaBbDTVDzztId5Ux7/lXHX6kVW0vxab3ULK3mFjtvgxiW3uhJJEQu7EgxxkA8joRii4vbQvY6iisnUtTuotSt9N0+CKW6ljaZmmcqkaKQMnAJJJIArF0PVJ7XEUsCiS81m4hkAfIjOGbg455XHai4OqlLlOwornNQ8SXFpLfxw2iSvbXdvbIpk27/NCnk44+9Ud1q1zp95dy3VvGbu30lrlhFO5jOGbCgHHp97GaLg60UdPRXPQa9exXttHqVpBDBd27zxNFKXZNgBIbIHY9vT8ahh8Q6myaXdTafbpZ6lMiRYmJkRWBYFhjGSBng8UXD20Tp6Kzdfv303RbieLBuCBHAPWRjtX9SKydJlntNI1bSZ7p57iwVik7NlnjdSytn1B3D/gNFxyqJS5TqKKyNHvBD4PsL25dmCWEcsjk5JxGCT7msWa91O91Dw5cXdpBBBPdGSMRzFnUGFyFYEAZwe3pRcTqpJPudjRXIxeNY5biGUfYTZzXAt1QXQNwMttDlMdM9s5wc1fh8QSyw2kf2dftst81pJFu4TYSWb6bRkf7wouCrQezN+iuRi8apLcQyj7CbOW5FuqC6BuBltocpjpntnODmjTtTlsorqC3hE95d6xcxQo77VGCWLMcHgAHpRcXt4N6HXUVzVz4lu7Gzv1ubKI39m8AMccp8uVZXCqwJGR34I6inT+IL/TzfxahZ24nhsZL2AwylkkVOqnIBBBI/Oi4/bQOjormTrmtLeWVs2nWe+/jaSAi4bEe0Anf8voe3fj3pH8WNBp264ht4r37a1kVefbCHUZLlyOFxz0z2ouHtoHT0Vya+L5WtnWKC1ubuO8htj5FxuicSfdYNjjuCMcYpuqa5q8el65AYraC+sbcTCSKRmUowbBXK/eBU8Hii4vbwtdHXUVWsGuHsIGuhGJygLeWSV/WrNM1TurhRRRQMKKKKACiiigAooooAKKKKACo5v8AV/jUlRzf6v8AGlLYT2K9FFFYGQUUUUAFFFFABRRRQB434+/5G66/3I//AEEVzNdN4+/5G66/3I//AEEVzNB83iP4svVhRRRQYmpoo8z+0LcfflspAo9dpEh/RDWXUttcS2lzHcQOUljYMrDsRWi17o0r+dLpU6yHlo4boLET7AoSB7Z/KmXpJJN2G3Y8vw3pkbcM81xOB/sny0B/ONvyqHT7JJhJdXTNHZQY8xh1cnoi/wC0f0GT2qK/vpL+582RURQoSONBhY1HRR7f/rPNaM2qaXcWttbyadeKkCbQkV4qqW/ibBiJyT7nsOgFBXuuV2zOvr17648xlVEUBI4l+7Gg6KP88nJPJqtWi02jFGCWF+GxwTeoQD9PKrOpES3ve4UUUUEhVSX/AI+W/D+VW6qS/wDHy34fypounuFdD4K8Qr4a8TQX0oJt2BinCjnYe4+hAP4Vz1FM1hJwkpLoelah8PrHVtUl1LTPEWmrpc7mUl5PmiBOSMdOPciqfjPxBp95f6Lo2kyiTTtL2J52eHbgde4AHXvk1wNFO5tKurNRja+53PxXuYLrxdHJbzxzJ9kQbo3DDO5uMitzWbC2+Imi6VqFhqllb3trD5V1DdSbNvTJ6E9c9uQfavKq6/Tda8HyaZa2+s+H5/tFuu3z7OTHnc5ywJHP5+2BxRcuFVTnLmtaR03ja3tdP8C+GLfz0vLaGcBpIvuyAA52+3WtPxJDPrN1Z6lpfi20sdBjhXeiXBj2YPOFXqcYGDgjpXn3i7xYviL7HaWloLPTLJNkEGcnoBk/gBXMU2y54mKk1FXWnlsexa7e2b/F/QLxLu3a2FttMqyqVBHm9TnjqPzrlJbmA/GIXHnR+R/aSt5m4bcZHOemK4iilcyniXJ3t1uevabf2a/GvVLlruAW7W+BKZBtJ2R9+lZfgPSdLufEeo6zqF3aj7LcN9mhllChnySHOew7e/PavNaKLj+s+8m49W/vPQPFXhnUtQnv9cvtf0aZ1QyeTDckkKBwiDFbyrJrvgTRbbw3r1rphtowL2NpzCxbAySRz13H0Oc15DRRcSxCTbtvvr+p6b8RJrZ/BugwwapDqD27GOSZJAxc7cbjznkg07xxaw6/4R0fWbLULMxWVoFliaT95k7BgAdwQcg4rzCii4SxHNzXW6X4Hpni/WILSz8C3lvNFPJZRCR0RwSCohODjp0IqbxF4YtPGmsLr+k65p6W1yifaFnk2vEQAPu/QDg4ry2ii43iOZvmV07fgrHqep+INNu/iB4asrG4R7DSiIvtBYbSeAcHpgBV5+tYes3MD/GFLhZo2g/tG3bzAwK4BTJz0xXEUUXJliHLddbnry6ro8Hxpubq7uIDC9uqQTlgUWTYnO7oONwz71oaBa3uk+K5b3XfFtrcRzK4gg+1E7s852nAUADtXiNFPmNI4uzu11vueneEbm2tovHaTXMKNIjrHukA3n979316jp615jRRU3MJ1OaKjba/4noniK/hX4a+F1huInuIJAxjDgspAPUdRXS6ne33i6G01Lwx4nisT5QW4s5pzHsb14BOecdMHAxXi1FO5qsU7u60duvY6rxjPdW+p2cL+JDq81sm8yKcrDITyFPfoPyruPFPiTTW8Dz6pZyxDUtahhgnRHBZcA7sjqOCy/iK8doouTHEOPNZbnpPgDXYH8Nah4cbVP7LvZZPNtbottGTjjP1X8Qxpdat9e0vQr19X8bRO7psitIJjIZweCDwCBjPavNaKLjWIfIotbeZ6Drt1byfB/QLdJ4mnS5y0YcFlH73qOo6ivPqKKTZlUqc7T8kgooooMwooooAKKKKACiipLeCW6uI7eCNpJZGCIi9WJ6CgDW8L+Hp/Emsx2ceVhHzzygfcTv+J6Cvcr3w5pl/oS6NLBts0UBFQ4KY6EH1qr4R8NxeGtGS3+VrqTD3Eg/ib0HsOg/PvW/WkVZHvYXDKnT95avf/IxvD3hnTvDNtLDYCQmVg0kkrAs2OnQAcZPbvWzRRVHVGKirR2CqWr2B1TR7ywEnlm4haPfjO3IxnFXaKBtJqzMNvDcba/a6mZziGJVeHb8skigqjn3AZh+XpVYeGJ4bSyFtexfabO5mnQzQ7o28wsSCu4HI3cEHt71vxXVvPNNDFMjyQkLKqtkoSMgH04qalZGfsoP+v67HOQeGZ0XM+oLLIdTXUGcQ7ckKFK4zx06/zqTUfDZv31VvtXlm9EG393uCGIkjIz8wJ6jit+oBeQG+NkJP9JWISlMH7hJAOenUGiweyhaxz8/h24uP7QudUu1uPtFj9mMVpb7NoBLDZljk89+9UbFb3WPEFk1zObu3traZJX+xPbgbwq4O48scHIHAx712Fzcw2du9xcSrFDGMu7nAAqWiwnRjfQwtL0W+05reBr63ks7YbUAtQJXUDChnyRxxyACcUieHCnh2z0r7UCbeaOXzNn3tsm/GM/hW9RRYpUo2sctqHha9uo9UtrfUoYbXUHMsm623yBiAMbtwG3j0z2ratNNNtq+oXxlDfaxENgXG3YCOuec5qybq3F2LQzJ9oKeYIt3zFc4zj0zSi4ha5a2EqGdFDtHnkKcgHHpwfyosCpwTuv63/wAzmBYarca94hW0u47WKd4kLSW5ckeSoLIdw5HI5yK1bDQo9O1GO4hk/cx2MdkkZHOEYnJP4+la9IXUOELDcRkDPJosCpRTuYOnaBd6a0NtDe2/9nwvuRTagzbc5Cb84x77c4/OmTeHby5vbdrjUIpbe3uRcRu1v/pAw2Qnmbsbe3TOOK27S8gv7Zbi2k8yJiyhsEcqSp6+4NOhuYLgyiGVJDE5jk2nO1hgkH35FFkL2cLJdPUwrvw7eXt0gnv4pLWO5FxGzW/+kJht2xZN2AO2cZxxUN94YvriDUrO31OKGyv5TM6tblpFY4yA24DBIz0zXUVBeXkFhaSXV1J5cMYy7YJx27UWB0oWd/zKK6LG1zrDzSeZFqQVWjAxtUR7CM981Fpek39jJAk19by28C7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id=\"subsection_3.3.1\"></a>\n**3.3.1. Technical level barriers for AI ethical principles implementation**\n\n![tech_lev_bar_final.jpg](attachment:11d5d4eb-1c59-419e-8f32-36b6a67f0372.jpg)\n\n**Ways to overcome:**\n\n- *Design notes* aimed at developers\n>'Design notes are suggestions and specific attributes to keep in mind while designing and implementing AI systems.' [31, p.14](https://arxiv.org/pdf/2112.07467.pdf))\n\n- '*Common standards* for domain-specific interpretability criteria and objectives' [45, p. 2](https://arxiv.org/ftp/arxiv/papers/2112/2112.07773.pdf)\n\n- '*Regular re-evaluation of all aspects of algorithm systems*, and the extent to which they achieve their goals, including pro-ethical design approaches' [42, p.16](https://arxiv.org/ftp/arxiv/papers/2102/2102.09364.pdf)\n\n- *ECCOLA model* that 'includes simple metrics to facilitate the communication of ethical gaps or outcomes of ethical AI development'  \n>'Method instructs its users to create *Work Product Sheets* (WPS) during every sprint and document WPS justification and further review the actions  <...> Stakeholders might represent differing points of view, needs, and concerns about the AI SW artefact, its ethical span, and little if any knowledge of software engineering' [47, p.1](https://arxiv.org/ftp/arxiv/papers/2110/2110.05933.pdf) \n\n- '*Causality analysis* as a principled method for analyzing trade-offs between fairness parameters and other crucial metrics in ML pipelines' \n>'For the developers, we suggest that they pay closer attention to the metrics measured on the training set <...> Fairness and robustness contain inevitable trade-offs. We advocate taking into account robustness metrics when designing fairness-improving methods' [36, p. 9](https://arxiv.org/pdf/2305.13057.pdf)\n\n- *Ethics sheets* \n>'An ethics sheet for an AI task is a semi-standardized article that aggregates and organizes a wide variety of ethical considerations relevant for that task.' [48, p.3](https://arxiv.org/pdf/2107.01183.pdf)\n\n- *Orientation on the needs of stakeholders* \n>'Operators of AI systems should address the needs of the stakeholders differently if aiming for greater acceptance <...> For the job seeker categorization system, on the other hand, it might be more promising to focus on safety issues or the presence of human responsibility, as they may be assigned to the group of Safety Concerned or the Human in the Loop. \" [49, p.12](https://arxiv.org/pdf/2106.00326.pdf))\n\n- *Develop tools to facilitate communication between AI model developers and data collectors* [35, p. 21](https://arxiv.org/pdf/2206.09514.pdf))\n","metadata":{},"attachments":{"11d5d4eb-1c59-419e-8f32-36b6a67f0372.jpg":{"image/jpeg":"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id=\"subsection_3.3.2\"></a>\n**3.3.2. Organizational level barriers for AI ethical principles implementation**\n\n![Organizational level barriers.jpg](attachment:1e01baa9-9091-436c-bae9-a1f2c15c05dd.jpg)\n\n**Ways to overcome:** \n\n- *'The Shared fairness’ method* \n>'This is a grassroots approach to operational ethics based on dialog and mutualised responsibility. This methodology is centred around conversations intended to elicit practitioners perceived ethical attribution and distribution over key value-laden operational decision sites, to identify when these contentious decisions arise and what ethical challenges they confront, while engaging a language of ethics and responsibility that enables practitioners and project teams to internalise ethical responsibility.' [40, p.6](https://arxiv.org/pdf/2101.02008.pdf)\n\n- *Deployment of ethical organizational culture* \n>leaders demonstrate prosocial attitudes, fairness and behavioral integrity; not self-interested, not egoistic climate; increasing proportion of women; decreasing stress and pressure; openness for critique [50, p. 13-14](https://arxiv.org/ftp/arxiv/papers/2011/2011.12750.pdf)\n\n- *Trainings to increase awareness and understanding of highlevel AI principles*\n[[31](https://arxiv.org/pdf/2112.07467.pdf)], [[25](https://arxiv.org/pdf/2209.04011.pdf)]\n\n\n- *Adjust organizational constructs to employ AI ethics organizations beyond the ethics committees* [44, p.4](https://arxiv.org/pdf/2108.06217.pdf)","metadata":{},"attachments":{"1e01baa9-9091-436c-bae9-a1f2c15c05dd.jpg":{"image/jpeg":"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id=\"subsection_3.3.3\"></a>\n**3.3.3. Individual level barriers for AI ethical principles implementation**\n\n![_Individual level barriers.jpg](attachment:a15455eb-691c-4ef8-b5b0-6555789b9f52.jpg)\n\n**Ways to overcome:**\n\n- *Build a taxonomy of AI ethics issues in real world*\n>'Build a taxonomy of AI ethics issues in real world, including the applications areas where AI ethics issues stick out, as well as the dimensions of AI ethics issues' [24, p.1](https://arxiv.org/pdf/2206.07635.pdf)\n\n- *Diversity*\n\n> Researchers should work together with practitioners 'in order to understand the real-world needs and obstacles that practitioners face when incorporating fairness into their pre-existing workflows and systems'[25, p.3](https://arxiv.org/pdf/2209.04011.pdf )\n\n> 'Need of external perceptions and opinions of external parties on their AI software as well as AI ethical harms' [35, p. 21](https://arxiv.org/pdf/2206.09514.pdf)\n\n- *Catalogue of principles and challenging factors* as a guideline for defining ethics in the AI domain [30, p.13](https://arxiv.org/pdf/2207.01493.pdf)\n \n- *Ethical reflection* \n>'AHA! (Anticipating Harms of AI), a generative framework to assist AI practitioners and decision-makers in anticipating potential harms and unintended consequences of AI systems prior to development or deployment.') [33](https://arxiv.org/pdf/2306.03280.pdf) \n\n- *Ethics trainings, audits and discussion groups*\n\n>'With the help of colleagues, one can reflect and discuss professional choices, ethical issues or other concerns in one’s daily routines in order to receive critical feedback. Furthermore, fictious ethical scenarios simulating particular contexts of decision making that professionals may face can be used' [50, p.13](https://arxiv.org/ftp/arxiv/papers/2011/2011.12750.pdf)","metadata":{},"attachments":{"a15455eb-691c-4ef8-b5b0-6555789b9f52.jpg":{"image/jpeg":"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id=\"subsection_3.3.4\"></a>\n**3.3.4. Regulatory level barriers for AI ethical principles implementation**","metadata":{}},{"cell_type":"markdown","source":"![Regulatory level barriers.jpg](attachment:36e31f70-ef82-44f0-9c0b-e7b9547ae81c.jpg)\n\n**Ways to overcome:**\n\n- *A certification framework for AI developers*\n>'Agree on the core values and principles that apply to any AI developer in any context. The next step will be to operationalise those values and principles on a national level by establishing a certification framework for AI developers <...> similar to ethical code and certification in Medicine' [46, p. 13](https://arxiv.org/pdf/2107.12977.pdf)","metadata":{},"attachments":{"36e31f70-ef82-44f0-9c0b-e7b9547ae81c.jpg":{"image/jpeg":"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not all organizations deploy AI responsible tools. **According to the 2022 Gartner CIO and Technology Executive Survey 21% of organizations have already deployed or plan to deploy responsible AI technologies within the next 12 months** [26](https://www.gartner.com/en/articles/it-budgets-are-growing-here-s-where-the-money-s-going)\n\nIt is interesting that this percentage corresponds to the percentage of Kaggle professionals who use AI ethical tools in practice (22%).","metadata":{}},{"cell_type":"markdown","source":"<a id=\"section_4\"></a>\n## Conclusion\n\nThe objective of this essay was to understand main trends in AI ethics during last two years. \nAnalysis of Kaggele Survey results and arXiv dataset articles in 'AI ethics' category let us to gain some insights:\n\n1. Scientific interest in the 'AI ethics' topic has rapidly increased over the last two years. The surge of this interest in April 2023 was caused by the release of ChatGPT-4. This confirms the idea of cycliс nature of AI ethics with the priority of AI practice: scientific ethical reflection arises after concerns caused by applying new technologies (due to high complexity of AI systems it is hard to forecast all the consequencies that could arise after deploying specific AI technology that makes ethical principles lag behind the AI practice).\n\n2. During 2021-2023 the main trend in 'AI ethics' area was 'Fairness' while concerns on 'Data' faded into the background due to concerns about generative AI (particularly about ChatGPT-4).\n\n3. One of the growing trends in the field of 'AI ethics' during last two years was the deployment of AI ethical principles in practice. In the essay we revealed some barriers that impede the implementation of AI ethical tools and ways to overcome that obstacles. The main way to overcome difficulties at all levels is an ethical reflection.  Maybe it's because the main feature of ethics is to make us doubt the decisions we make?\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"section_5\"></a>\n## References\n\n1. Encyclopedia Britannica [1](http://www.britannica.com/topic/ethics-philosophy) , [1.1](http://www.britannica.com/story/pro-and-con-artificial-intelligence)\n2. [Wikipedia](http://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence)\n3. [Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. - The Alan Turing Institute](https://doi.org/10.5281/zenodo.3240529)\n4. [Recommendation on the Ethics of Artificial Intelligence. - UNESCO (2021)](https://unesdoc.unesco.org/ark:/48223/pf0000381137)\n5. [TechTarget](https://www.techtarget.com/whatis/definition/AI-code-of-ethics)\n6. [What are AI ethics? - IBM](https://www.ibm.com/topics/ai-ethics)\n7. [Ethical AI. - c3.ai](https://c3.ai/glossary/artificial-intelligence/ethical-ai/)\n8. [Google AI](https://ai.google/why-ai/)\n9. [2022 AI Principles Progress Update. Google](https://ai.google/static/documents/ai-principles-2022-progress-update.pdf)\n10. [Facebook’s five pillars of Responsible AI. June 22, 2021](https://ai.facebook.com/blog/facebooks-five-pillars-of-responsible-ai/)\n11. [Governing AI: A Blueprint for the Future. - Microsoft. May 25, 2023](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RW14Gtw)\n12. [Microsoft Responsible AI Standard, June, 2022](http://https://blogs.microsoft.com/wp-content/uploads/prod/sites/5/2022/06/Microsoft-Responsible-AI-Standard-v2-General-Requirements-3.pdf)\n13. [How Microsoft drives responsible AI](https://www.microsoft.com/en-us/ai/our-approach?activetab=pivot1:primaryr5)\n14. [Microsoft AI](https://www.microsoft.com/en-us/ai/responsible-ai?activetab=pivot1%3aprimaryr6)\n15. [OpenAI. Safety](https://openai.com/safety)\n16. [OpenAI. Safety Standards](https://openai.com/safety-standards)\n17. Müller, Vincent C., \"Ethics of Artificial Intelligence and Robotics\", The Stanford Encyclopedia of Philosophy (Summer 2021 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/sum2021/entries/ethics-ai/>.\n18. [RSNA](https://www.rsna.org/about)\n19. [2022 Kagle Machine Learning & Data Science Survey](https://www.kaggle.com/competitions/kaggle-survey-2022)\n20. 2022 Kaggle Survey Answer Choices (/kaggle/input/kaggle-survey-from-2017-to-2022/kaggle-survey-2022/Supplementary Data/kaggle_survey_2022_answer_choices.pdf).\n21. [Stack Overflow Developer Survey 2022](https://survey.stackoverflow.co/2022#methodology-general)\n22. Stack Overflow Developer Survey 2023. [22.1](https://stackoverflow.co/labs/developer-sentiment-ai-ml/). [22.2](https://survey.stackoverflow.co/2023/#ai-developer-tools)\n23. [ChatGPT-4](https://en.wikipedia.org/wiki/GPT-4#:~:text=It%20was%20released%20on%20March,being%20provided%20via%20a%20waitlist.)\n24. [Mengyi Wei, Zhixuan Zhou. AI Ethics Issues in Real World: Evidence from AI Incident Database. arXiv:2206.07635 [cs.AI]](https://arxiv.org/pdf/2206.07635.pdf) \n25. [Jessie J. Smith, Lex Beattie. RecSys Fairness Metrics: Many to Use But Which One To Choose?. arXiv:2209.04011 [cs.HC] ](http://arxiv.org/pdf/2209.04011.pdf)\n26. [2022 Gartner CIO and Technology Executive Survey](https://www.gartner.com/en/articles/it-budgets-are-growing-here-s-where-the-money-s-going)\n27. [Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen. A Survey on Explainable Anomaly Detection. arXiv:2210.06959 [cs.LG]](https://arxiv.org/pdf/2210.06959.pdf)\n28. [Danish Contractor, Daniel McDuff, Julia Haines, Jenny Lee, Christopher Hines, Brent Hecht, Nicholas Vincent, Hanlin Li. Behavioral Use Licensing for Responsible AI. arXiv:2011.03116 [cs.CY]](https://arxiv.org/pdf/2011.03116.pdf)\n29. [Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu. How Different Groups Prioritize Ethical Values for Responsible AI. arXiv:2205.07722 [cs.HC]](https://arxiv.org/pdf/2205.07722.pdf)\n30.[Arif Ali Khan, Muhammad Azeem Akbar, Mahdi Fahmideh, Peng Liang, Muhammad Waseem, Aakash Ahmad, Mahmood Niazi, Pekka Abrahamsson. AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers. arXiv:2207.01493 [cs.CY]](https://arxiv.org/pdf/2207.01493.pdf)\n31. [Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen. AI Ethics Principles in Practice: Perspectives of Designers and Developers. arXiv:2112.07467 [cs.CY]](https://arxiv.org/pdf/2112.07467.pdf)\n32. [Vita Santa Barletta, Danilo Caivano, Domenico Gigante, Azzurra Ragone. A Rapid Review of Responsible AI frameworks: How to guide the development of ethical AI. arXiv:2306.05003 [cs.AI]](https://arxiv.org/pdf/2306.05003.pdf)\n33. [Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi. AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. arXiv:2306.03280 [cs.HC]](https://arxiv.org/pdf/2306.03280.pdf)\n34. [Zoe Porter, Ibrahim Habli, John McDermid, Marten Kaas. A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems. arXiv:2203.15370 [cs.CY]](https://arxiv.org/ftp/arxiv/papers/2203/2203.15370.pdf)\n35. [Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan. Ethics in AI through the Developer's View: A Grounded Theory Literature Review. arXiv:2206.09514 [cs.SE]](https://arxiv.org/pdf/2206.09514.pdf)\n36. [Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li. Causality-Aided Trade-off Analysis for Machine Learning Fairness. arXiv:2305.13057 [cs.LG]](https://arxiv.org/pdf/2305.13057.pdf)\n37. [Alexandra Brintrup, George Baryannis, Ashutosh Tiwari, Svetan Ratchev, Giovanna Martinez-Arellano, Jatinder Singh. Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions. arXiv:2305.11581 [cs.AI]](https://arxiv.org/ftp/arxiv/papers/2305/2305.11581.pdf)\n38. [David Melhart, Julian Togelius, Benedikte Mikkelsen, Christoffer Holmgård, Georgios N. Yannakakis. The Ethics of AI in Games. arXiv:2305.07392 [cs.HC]](https://arxiv.org/pdf/2305.07392.pdf)\n39. [Debesh Jha, Ashish Rauniyar, Abhiskek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håakegård, Ulas Bagci. Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. arXiv:2304.11530 [cs.AI]](https://arxiv.org/pdf/2304.11530.pdf)\n40. [Mark Findlay, Josephine Seah. An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections. arXiv:2101.02008 [cs.CY]](https://arxiv.org/pdf/2101.02008.pdf)\n41. [Ville Vakkuri, Marianna Jantunen, Erika Halme, Kai-Kristian Kemell, Anh Nguyen-Duc, Tommi Mikkonen, Pekka Abrahamsson. Time for AI (Ethics) Maturity Model Is Now. arXiv:2101.12701 [cs.CY]](https://arxiv.org/ftp/arxiv/papers/2101/2101.12701.pdf)\n42. [Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mokander, Luciano Floridi. Ethics as a service: a pragmatic operationalisation of AI Ethics. arXiv:2102.09364 [cs.CY]](https://arxiv.org/ftp/arxiv/papers/2102/2102.09364.pdf)\n43. [Orr, W., & Davis, J. L. (2020). Attributions of ethical responsibility by Artificial Intelligence practitioners. Information Communication and Society. Scopus.](https://doi.org/10.1080/1369118X.2020.1713842)\n44. [Jiahao Chen, Victor Storchan, Eren Kurshan. Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice. arXiv:2108.06217 [cs.LG]](https://arxiv.org/pdf/2108.06217.pdf)  \n45. [Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman. Filling gaps in trustworthy development of AI. arXiv:2112.07773 [cs.AI]](https://arxiv.org/ftp/arxiv/papers/2112/2112.07773.pdf)\n46. [Inga Strümke, Marija Slavkovik, Vince I. Madai. The social dilemma in artificial intelligence development and why we have to solve it. arXiv:2107.12977 [cs.AI]](https://arxiv.org/pdf/2107.12977.pdf)\n47. [Jani Antikainen, Mamia Agbese, Hanna-Kaisa Alanen, Erika Halme, Hannakaisa Isomäki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri. A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA. arXiv:2110.05933 [cs.CY]](https://arxiv.org/ftp/arxiv/papers/2110/2110.05933.pdf)\n48. [Saif M. Mohammad. Ethics Sheets for AI Tasks. arXiv:2107.01183 [cs.AI]](https://arxiv.org/pdf/2107.01183.pdf)\n49. [Kimon Kieslich, Birte Keller, Christopher Starke. AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI. arXiv:2106.00326 [cs.CY]](https://arxiv.org/pdf/2106.00326.pdf)\n50. [Thilo Hagendorff. AI virtues -- The missing link in putting AI ethics into practice. arXiv:2011.12750 [cs.CY]](https://arxiv.org/ftp/arxiv/papers/2011/2011.12750.pdf)","metadata":{}},{"cell_type":"markdown","source":"## Submission","metadata":{}},{"cell_type":"code","source":"submission = pd.read_csv(\"/kaggle/input/2023-kaggle-ai-report/sample_submission.csv\")\nsubmission.head()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-07-16T12:43:34.829231Z","iopub.execute_input":"2023-07-16T12:43:34.830618Z","iopub.status.idle":"2023-07-16T12:43:34.851171Z","shell.execute_reply.started":"2023-07-16T12:43:34.830577Z","shell.execute_reply":"2023-07-16T12:43:34.850280Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.loc[0]['value'] = 'AI ethics'\nsubmission.loc[1]['value'] = 'https://www.kaggle.com/veronikasarikaya/what-is-new-on-ai-ethics/edit'\nsubmission.loc[2]['value'] = 'https://www.kaggle.com/code/emirhanbilgic/ai-ethics-we-are-about-to-be-late/comments#2341803'\nsubmission.loc[3]['value'] = 'https://www.kaggle.com/code/asenath/on-ethics-and-ai/comments#2338169'\nsubmission.loc[4]['value'] = 'https://www.kaggle.com/code/patrikkenfack/exploring-the-landscape-of-ai-ethics/comments#2342999'\nsubmission.head()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:44:41.606978Z","iopub.execute_input":"2023-07-16T12:44:41.607465Z","iopub.status.idle":"2023-07-16T12:44:41.621399Z","shell.execute_reply.started":"2023-07-16T12:44:41.607432Z","shell.execute_reply":"2023-07-16T12:44:41.620165Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.to_csv('submission.csv', index = False)","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-07-16T12:44:44.416722Z","iopub.execute_input":"2023-07-16T12:44:44.417571Z","iopub.status.idle":"2023-07-16T12:44:44.424315Z","shell.execute_reply.started":"2023-07-16T12:44:44.417533Z","shell.execute_reply":"2023-07-16T12:44:44.423180Z"},"trusted":true},"execution_count":null,"outputs":[]}]}