{"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":"markdown","source":"## AI Ethics During the Covid-19 Pandemic\n\nMarch 2020 was the beginning of a test for the entire planet of humans. A novel coronavirus was discovered circulating in several areas of the world. Scientists, politicians, and medical personel sprung into action in a variety of areas to both stop the spread of the virus and aid the people already infected. Already developed techniques in artificial intelligence and machine learning were adapted to the virus dubbed COVID-19. Additionally, new techniques were devised for the new health threat. \n\nNatural and human-generated events can create a turning point in the evolution of society. The COVID-19 pandemic was unexpected in both magnitude and scope, and it presented new challenges for researches all over the world. I will investigate how ethics and AI are applied to COVID by looking at papers in arXiv that address those topics.\n\n![Computer generated Covid-19 virus - Photo by Fusion Medical Animation on Unsplash](attachment:7fa39845-c8eb-4758-997e-097c9d997f5a.jpg)\n\n### Combining ethics of medicine and AI ethics\n\nEthics in medicine is a specialized and complicated matter. When addressing ethics in researching COVID-19, and using AI as a tool to do so, there are factors in both fields that need to be addressed. For example, informed consent is an important topic in medicine. A paper on AI ethics, *Artificial Intelligence: the global landscape of ethics guidelines*[10], distills down the topic of AI ethics to five main principles:  transparency, justice and fairness, non-maleficence, responsibility and privacy. Although there is considerable overlap, both AI-specific and medicine-specific ethics need to be considered. \n\n### Limit the articles to those with ethics and COVID in the abstract\n\nUsing the arXiv dataset provided in this challenge, I narrowed down the list of possible papers by restricting the papers to containing some variant on the word 'COVID' as well as 'ethic', such as 'ethics', 'ethical', or 'ethically' in the abstract. Once the field of papers is narrowed down, I eliminated a few where the ethical considerations were only cursorily discussed. 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"}}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom collections import Counter\nimport matplotlib.pyplot as plt\n\ndf_arxiv = pd.read_json(\"/kaggle/input/2023-kaggle-ai-report/arxiv_metadata_20230510.json\", \n                     lines=True,\n                     convert_dates=True,\n                    )\n#https://stackoverflow.com/questions/12451431/loading-and-parsing-a-json-file-with-multiple-json-objects\ndf_arxiv.to_json('new_file.json')\ndf_arxiv.head()","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-07-16T21:16:26.366529Z","iopub.execute_input":"2023-07-16T21:16:26.366946Z","iopub.status.idle":"2023-07-16T21:19:49.071149Z","shell.execute_reply.started":"2023-07-16T21:16:26.366916Z","shell.execute_reply":"2023-07-16T21:19:49.069550Z"},"jupyter":{"source_hidden":true,"outputs_hidden":true},"collapsed":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Limit the arxiv articles to those containing words such as ethic, ethics, ethical, etc.\n# Next limit the articles to those with Covid in the abstract.\nmeta = df_arxiv[df_arxiv['abstract'].str.contains('ethic')]\nmeta_covid = meta[meta['abstract'].str.contains('Covid|SARS|Corona|COVID')]\n\nprint(f\"The number of articles with ethic in the abstract: {meta.shape[0]}\")\n\nprint(f\"The number of articles that are further restricted by Covid in the abstract: {meta_covid.shape[0]}\")","metadata":{"execution":{"iopub.status.busy":"2023-07-16T21:19:49.074187Z","iopub.execute_input":"2023-07-16T21:19:49.074742Z","iopub.status.idle":"2023-07-16T21:19:56.040452Z","shell.execute_reply.started":"2023-07-16T21:19:49.074693Z","shell.execute_reply":"2023-07-16T21:19:56.039121Z"},"jupyter":{"source_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Breakdown of computer science categories\n\nTo get a better idea of what kind of papers are being written on these topics, I matched up the category title with the category abbreviation. Plots of these results allows for quick readability.\n\n'Computers and Society' overwhelmingingly has the majority of papers (31 of 51), but a couple of other interesting categories were represented. 'Computer Vision', 'Social and Information Networks' have 6 and 4 papers respectively. I decided on a total of 7 papers in these two categories to review. \n","metadata":{}},{"cell_type":"code","source":"cs_categories = {'cs.AI':'Artificial Intelligence',\n                 'cs.AR': 'Hardware Architecture',\n                 'cs.CC':'Computational Complexity',\n                 'cs.CE':'Computational Engineering, Finance, and Science',\n                 'cs.CG':'Computational Geometry',\n                 'cs.CL': 'Computation and Language',\n                 'cs.CR': 'Cryptography and Security',\n                 'cs.CV': 'Computer Vision and Pattern Recognition',\n                 'cs.CY': 'Computers and Society',\n                 'cs.SY': 'Systems and Control',\n                 'cs.DC': 'Distributed, Parallel, and Cluster Computing',\n                 'cs.DL': 'Digital Libraries', \n                 'cs.DM': 'Discrete Mathematics',\n                 'cs.DS': 'Data Structures and Algorithms',\n                 'cs.DB': 'Databases',\n                 'cs.ET': 'Emerging Technologies',\n                 'cs.FL': 'Formal Languages and Automata Theory',\n                 'cs.GL': 'General Literature',\n                 'cs.GR': 'Graphics',\n                 'cs.GT': 'Computer Science and Game Theory',\n                 'cs.HC': 'Human-Computer Interaction',\n                 'cs.IR': 'Information Retrieval',\n                 'cs.IT': 'Information Theory',\n                 'cs.LG': 'Machine Learning',\n                 'cs.LO': 'Logic in Computer Science',\n                 'cs.MA': 'Multiagent Systems',\n                 'cs.MM': 'Multimedia',\n                 'cs.MS': 'Mathematical Software',\n                 'cs.NA': 'Numerical Analysis',\n                 'cs.NE': 'Neural and Evolutionary Computing',\n                 'cs.NI': 'Networking and Internet Architecture',\n                 'cs.OH': 'Other Computer Science',\n                 'cs.OS': 'Operating Systems',\n                 'cs.PF': 'Performance',\n                 'cs.PL': 'Programming Languages',\n                 'cs.RO': 'Robotics',\n                 'cs.SC': 'Symbolic Computation',\n                 'cs.SD': 'Sound',\n                 'cs.SE': 'Software Engineering',\n                 'cs.SI': 'Social and Information Networks'\n                }\n\ndef count_categories(category_series):\n    ''' Takes in a series of categories that are space separated.\n        Returns a dictionary of the categories that are CS (computer science).\n    '''\n    category = []\n    for x in meta_covid.categories:\n        category.extend(x.split(' '))\n    cat_dict = dict(Counter(category))\n    return {k:v for k,v in cat_dict.items() if 'cs.' in k and 'ics.' not in k}\n\n# Count all the categories where Covid and ethic/ethics are in the abstract.\na = count_categories(meta_covid.categories)\nprint(\"Dictionary with the count of the categories for the papers that are related to COVID-19 and discuss ethics in the abstract.\")\na","metadata":{"execution":{"iopub.status.busy":"2023-07-16T21:19:56.042469Z","iopub.execute_input":"2023-07-16T21:19:56.042940Z","iopub.status.idle":"2023-07-16T21:19:56.062768Z","shell.execute_reply.started":"2023-07-16T21:19:56.042899Z","shell.execute_reply":"2023-07-16T21:19:56.061668Z"},"jupyter":{"source_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Plot the category counts for the papers that are Covid-19 and Ethics related\nnames = [cs_categories[x] for x in a.keys()]\nvalues = list(a.values())\nfig, ax = plt.subplots()\nax.barh(names, values)\nax.set_xlabel('Occurrences')\nax.set_ylabel('Categories')\nax.set_title('Categories in arXiv papers - Ethics and COVID-19')\nplt.text(0, -4, 'Plot 1: Data from Kaggle contest of gathered arXiv paper meta data.');","metadata":{"execution":{"iopub.status.busy":"2023-07-16T21:29:15.769723Z","iopub.execute_input":"2023-07-16T21:29:15.770338Z","iopub.status.idle":"2023-07-16T21:29:16.210088Z","shell.execute_reply.started":"2023-07-16T21:29:15.770302Z","shell.execute_reply":"2023-07-16T21:29:16.208776Z"},"jupyter":{"source_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Computer vision papers\n\nThere are 6 papers that are identified as computer vision through the category cs.CV. Of these, 3 papers stand out as having detailed discussions of AI ethics and how it applies to COVID-19. Computer vision is an important technique in medicine because it can improve treatment and diagnoses, and accelerate research. AI ethics is relatively young and there is disagreement to how the five ethical principals are interpreted so it is interesting to see how the authors of the following papers tackle the topic of AI ethics as applied to their research. ","metadata":{}},{"cell_type":"markdown","source":"A Vision-based Social Distancing and Critical Density Detection System for COVID-19[1] investigates a computer vision-based social distancing warning system. The idea is to use a camera placed in public areas with the system identifying areas where social distancing is not properly maintained. The authors identify four ethical considerations:\n\n*     System should only be real time - no caching or recording of video or other data\n*     The warnings should be on a population, not an individual\n*     The system should be fully automated so there are no humans monitoring\n*     The code should be open source and available to the public\n\nEach of these ethical considerations are designed to protect the public from government and business overreach and surveillance. ","metadata":{}},{"cell_type":"markdown","source":"SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments[2]  addresses an interesting issue in medical applications of AI. Rather than AI being the cause of the ethical dilemna, it is used to address an ethical dilemna already present in medicine. Namely, the ethics of data collection during surgeries. The authors propose a method of creating simulated data on three tasks - including detection of COVID-19 using xrays. Using open source datasets of COVID infected patients, the authors used around 150 xray and CT scans to generate nearly 20,000 simulated chest xrays for training and testing of a deep learning model. The authors published the code on Github and linked to the training data used. \n\n![Xray of chest from public Covid dataset](attachment:11ccecb2-c4a2-4c64-b92b-47b6d7537237.png)\n\n**Figure 1:** This is an example of a chest xray collected for the purpose of Covid-19 research. These images are from the Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany. Image source: Anonymized Covid-19 image 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"}}},{"cell_type":"markdown","source":"While the previous paper discussed a possible solution to the ethical issues of collecting data during surgeries, *AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT*[3] dives into data diversity in AI models. Data privacy laws in the US (HIPAA) and the EU (GDPR) and ethical boards can limit the ability to generalize medical machine learning models across geographies and populations. Data diversity is a problem in medicine. COVID-19's high transmissibility highlights the need for fast development and rapid deployment of models. The authors propose using Federated Learning (FL) as a method of creating more diverse AI models without data sharing. The main idea is for many FL sites in different geographical areas train their pre-agreed upon model independently and share only their weights or gradients. These weights are then averaged and those averaged weights are used. This was tested on Covid-related chest xrays and CT scans in 16 sites on 5 continents. The authors put forward this technique as a method for increasing diversity of data for the models in an efficient manner. ","metadata":{}},{"cell_type":"markdown","source":"## Social and information network papers\n\nSocial and information networks in AI is a large category. It can mean anything from the graph theory used to model social media to social attitudes and norms. The papers that I will discuss have four very different topics. The first discusses using graph neural networks (GNN) as applied to contact tracing of COVID-19 infections. The second is a proposal for an app that holds Covid vaccine or immunity status. The third paper uses social media to monitor the deteriorating mental health due to the pandemic and the last paper discusses misinformation and social media.","metadata":{"execution":{"iopub.status.busy":"2023-07-08T12:15:30.193869Z","iopub.execute_input":"2023-07-08T12:15:30.194342Z","iopub.status.idle":"2023-07-08T12:15:30.200027Z","shell.execute_reply.started":"2023-07-08T12:15:30.194299Z","shell.execute_reply":"2023-07-08T12:15:30.198457Z"}}},{"cell_type":"markdown","source":"*Link Prediction using Graph Neural Networks for Master Data Management* [4] discusses using Graph Neural Networks (GNN) as a possible solution to the complexity of contact tracing COVID-19 positive people. Predicting disease spread using social media, such as twitter, is not a new concept.[9] Using geotagged tweets and sampling techniques, flu incidence has been monitored. However, this is is done on a population level instead of an individual level. This paper discusses using GNN for contact tracing by using graphs where people who have tested positive were then put on a Watchlist. Additional nodes (people) are added and links (edges) to the people on the Watchlist are predicted. The authors propose this as a method of contact tracing, although they acknowledge that ethical considerations must be carefully considered, including informed consent of the participants. Additionally, explanability of the predictions. Using path-based explanations to visualize the neighborhood of the prediction requires a certain size of dataset. Provenance and lineage - where does the data come from and how was it obtained. Finally fairness, privacy, and data protection are considered along with diversity of the data sets to ensure that minority populations are also properly represented. \n\n![Graph describing connections between people, both Covid + and Covid -](attachment:cb7b7837-a77f-47e4-915f-7349c77f7090.png)\n\n**Figure 2:** A graph with nodes and edges to denote people both infected and currently uninfected or of unknown status, and edges to describe relationships between the people. The edges are what will be predicted. (Source: the author of this 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"}}},{"cell_type":"markdown","source":"*COVID-19 Antibody Test / Vaccination Certification, There’s an app for that* [5] prototypes an app that can be used to verify COVID immunity due to vaccination or tests. \n\nA few apps were created to address different facets of COVID management. This particular app manages test results and vaccination statuses of individuals. Because this is individual data instead of aggregate data, data privacy is key to a successful app. The authors propose the app use a 'Consortium blockchain' - a blockchain shared by a group of known providers that have signed to follow ethical guidelines. Even if the app maintains perfect privacy, authors discuss how such an app could disenfranchise populations that do not have access to the technology or \"fail\" the test. They are also concerned with how future governments could use this technology to discriminate based on immunity. To combat these issues, the authors recommend making use of the technology optional, adhere to the UK NHS Information Governance guidelines, and be overseen by an ethics committee. \n\n![diagram that describes how the data is decentralized](attachment:c5309f10-9bae-41be-842b-594fc26e1b04.png)\n\n**Figure 3:** Description of how the authors propose to decentralize the data, one of the ethical concerns brought up in the paper. (Source: [Reference 5](https://arxiv.org/pdf/2004.07376.pdf) 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"}}},{"cell_type":"markdown","source":"*Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic* [6] attempts detection of mental health disorders using machine learning and deep learning techniques. It seems to be near universal consensus that the pandemic measures have negatively impacted mental health. This paper discusses other papers that use social media to detect mental disorders including PTSD and schizophrenia in the years 2020 and 2021. It surveys numerous papers that use a variety of techniques. The authors specifically mention machine learning (regression, classification and clustering, and dimension reduction), deep learning (CNN, RNN, and ensemble models), and statistical analysis. It included papers that use text-based analysis and image based analysis. Ethical challenges were discussed in length, including consulting the ethical board, informed consent, and data anonymization. Due to the extremely sensitive nature of mental health, explicit informed consent for mental health evaluation was gained in a lot of the papers surveyed. \n\n> Social media based mental healthcare heavily depends on NLP, ML and deep learning. Unfortunately, these computing\ntechniques are not fully mature for deployment in a large scale with sensitive applications like mental assessment.\nInaccurate assessment of users with a mental disorder may lead to undesirable consequences, such as false positives\nwhere the system falsely detects inexistent mental distress and false-negative where the system misses the detection\nof mentally distressed users.\n\nFalse positives can have disastrous consequences if the individual is led to believe they have a mental health disorder they, in fact, do not. False negatives or failing to detect a mental health condition can also have immense consequences. Depression and anxiety have increased during the stay at home orders where it is easy to fall through the cracks and go unnoticed.","metadata":{}},{"cell_type":"markdown","source":"*Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media*[7] uses natural language processing (NLP) on twitter content to detect health-related misinformation. The authors discuss several different ethical concerns and how they mitigated them. For privacy, they did not use the tweet author's account information in processing. They also removed any mentioned users (@username). They addressed a common form of misinformation - where information is a selective or partial truth about a controversial topic. Information is incomplete, such as in emerging news stories, can be a source of misinformation. The authors encourage labelling of such tweets as misinformation instead of censoring them so the technology won't be viewed as violating freedom of speech.","metadata":{}},{"cell_type":"markdown","source":"## Computers and Society, and AI Topics papers\n\nTwo large categories, Computers and Society (31 papers), and AI (11 papers) are fairly general in nature. There is also overlap in the categories with papers in other categories. Still, due to the large number of papers in both, a look at the topics is warranted. Contact tracing is a popular topic as it is a fairly difficult problem to solve. Since I already discussed one paper on the topic of contact tracing, I decided to look at 2 others. ","metadata":{}},{"cell_type":"markdown","source":"*GOOD PROCTOR OR “BIG BROTHER”? AI ETHICS AND ONLINE EXAM SUPERVISION TECHNOLOGIES*[12] discusses an AI topic that was shoved to the forefront when university campuses shut down and exams started being offered online: AI proctoring. The primary purpose of this paper is to discuss AI ethics and how it pertains to online proctoring. It examines academic integrity, fairness, non-maleficence, transparency, privacy, respect for autonomy, liberty, and trust in detail. \n\nAI can be used in detection of pre-trained \"suspicious\" behavior, which alerts a human proctor to check the student for evidence of cheating. The creators of the system claim that a combination of AI and human proctoring produces the best results. Academic dishonesty in the form of impersonating and other cheating threatens to weaken the university education system. Fairness is equal access to the remote exams and technology. Transparency is important in AI as it details what behavior is a \"red flag\". Also transparency on the use and of AI and its functionality as different systems can be quite different. Non-maleficence is the principle that the AI should not do harm to the subject, in this case the student. Privacy and security relates to how the personal data of the subject and their home environment is collected and stored. Respect for autonomy refers to the students' autonomy about personal data including video recordings, use of AI and strangers as proctors. Liberty and trust refer to society's thoughts and feelings about freedoms and the use of digital technologies as it pertains to AI and universities. Lastly, accountability and the ability for individuals to contest false positives. \n\nSince this technology is rather new, there are questions about bias and wrongful claims of academic dishonesty against students. If the technology is a black box with unsupported claims of accuracy, can the AI system properly claim that it does not cause harm? Privacy with these systems is a major concern. With students sitting in their homes, the question of them being secure that the video of their online exams isn't being viewed by a third party or passed around. After a thorough discussion of these issues, the authors conclude that AI-based proctoring raises concerns above those of in-person proctoring. Worldwide shut downs of the universities was sudden and AI-based proctoring became more common as a result but since the technology is still fairly new and the ethical concerns are great, a review of the proctoring systems and their ethical implications should be undertaken. \n","metadata":{}},{"cell_type":"markdown","source":"*Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI*[13] is an interesting paper because it discusses when an AI should break the rules. As AI are creating rules, for example who should get the Covid vaccine, the authors discuss when rules should be broken for pro-social reasons and whether or not they should be programmed into AI solutions. The authors devise a fake dilemma - Vaccination Strategy Dilemma to discover when and why people commit pro-social rule breaking. They theorize that by discovering when and why humans violate the rules, AI creators can add this to their programming to make the AI tools more human-like. ","metadata":{}},{"cell_type":"markdown","source":"The 9 papers discussed covered a variety of Covid-19 related topics from contact tracing to disease detection from medical scans to online proctoring during lockdown. If we learned anything from the last few years, it is that humans are great at adapting technology to fit sudden, dire situations. The question that developers and stakeholders need to ask ourselves is, in the rush to adapt, are we leaving ethics behind? We need to keep asking ourselves the questions about ethics and how it relates to our advances, whether it is in AI or medicine, or in that space that is both.","metadata":{}},{"cell_type":"markdown","source":"## References:\n\n### Computer vision\n\n[1] [A Vision-based Social Distancing and Critical Density Detection System for COVID-19](https://arxiv.org/abs/2007.03578)\n\n[2] [SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments](https://arxiv.org/pdf/2206.06127.pdf)\n\n[3] [AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT](https://arxiv.org/pdf/2303.13567.pdf)\n\n### Social and information network papers\n\n[4] [Link Prediction using Graph Neural Networks for Master Data Management](https://arxiv.org/pdf/2003.04732.pdf)\n\n[5] [COVID-19 Antibody Test / Vaccination Certification, There’s an app for that](https://arxiv.org/pdf/2004.07376.pdf)\n\n[6] [Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic](https://arxiv.org/pdf/2105.08165.pdf)\n\n[7] [Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media](https://arxiv.org/pdf/2106.06811.pdf)\n\n### Computers and Society, AI papers\n\n[12] [GOOD PROCTOR OR “BIG BROTHER”? AI ETHICS AND ONLINE EXAM SUPERVISION TECHNOLOGIES](https://arxiv.org/pdf/2011.07647.pdf)\n\n[13] [Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI](https://arxiv.org/pdf/2107.04022.pdf)\n\n### Other papers\n\n[8] [Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406274/)\n\n[9] [Regional Influenza Prediction with Sampling Twitter Data and PDE Model](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037800/)\n\n[10] [Artificial Intelligence: the global landscape of ethics guidelines](https://arxiv.org/pdf/1906.11668.pdf)\n\n### Additional references\n\n[11] [Covid-19 Public Image Repository](https://github.com/ml-workgroup/covid-19-image-repository)","metadata":{}}]}