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Part III - Knowledge, Risk and Control

Published online by Cambridge University Press:  08 September 2022

Marcelo Corrales Compagnucci
Affiliation:
University of Copenhagen
Michael Lowery Wilson
Affiliation:
University of Turku, Finland
Mark Fenwick
Affiliation:
Kyushu University, Japan
Nikolaus Forgó
Affiliation:
Universität Wien, Austria
Till Bärnighausen
Affiliation:
Universität Heidelberg
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Summary

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Type
Chapter
Information
AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
, pp. 207 - 308
Publisher: Cambridge University Press
Print publication year: 2022

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References

Bibliography

Ambur, MY and others, ‘Big Data Analytics and Machine Intelligence Capability Development at NASA Langley Research Center: Strategy, Roadmap, and Progress’ (2015), https://ntrs.nasa.gov/citations/20170000676.Google Scholar
Angst, C and Agarwal, R, ‘Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion’ (2009) 33(2) Management Information Systems Quarterly 339–70.Google Scholar
Article 29 Data Protection Working Party, ‘Guidelines on Automatic Individual Decision-Making and Profiling for the Purposes of Regulation 2016/679’ 17/EN, WP251rev.01 (2018), https://ec.europa.eu/newsroom/article29/items/612053.Google Scholar
Article 29 Data Protection Working Party, ‘Guidelines on Transparency Under Regulation 2016/679’ 17/EN, WP260 rev.01 (2018), https://ec.europa.eu/newsroom/article29/items/612053.Google Scholar
Article 29 Data Protection Working Party, ‘Opinion 03/2013 on Purpose Limitation’ 00569/13/EN, WP203 (2013), https://ec.europa.eu/newsroom/article29/items/612053.Google Scholar
Banik, A and Bandyopadhyay, SK, ‘Big Data-A Review on Analysing 3Vs’ (2016) 3(1) Journal of Scientific and Engineering Research 21–24.Google Scholar
Boucher P for the European Parliament, ‘Artificial Intelligence: How Does It Work, Why Does It Matter; and What Can We Do about It?’ (2020).Google Scholar
Buchner, B and Tinnefeld, M-T, Art 89. ‘Datenschutz-Grundverordnung’ in Kühling, J and Buchner, B (eds), Bundesdatenschutzgesetz (C.H.Beck 2018) 1–31.Google Scholar
Chandrika, M and others, ‘Impact of Big Data and Emerging Research Trends’ (2015) International Journal of Innovative Technology and Research. International Conference on Computational Systems for Health & Sustainability (CSFHS) 17–18 April 2015 14–17.Google Scholar
Chico, V, ‘The Impact of the General Data Protection Regulation on Health Research’ (2018) 128(1) British Medical Bulletin 109–18.Google Scholar
Commission Nationale Informatique & Libertés, ‘Comment Permettre À L’homme de Garder la Main ?’ (2017), www.cnil.fr/sites/default/files/atoms/files/cnil_rapport_garder_la_main_web.pdf.Google Scholar
Commission Recommendation on a European Electronic Health Record Exchange Format (C(2019)800) of 6 February 2019, https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019H0243&from=EN.Google Scholar
Council Directive 93/13 EEC of 5 April 1993 on Unfair Terms in Consumer Contracts, https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:31993L0013&from=EN.Google Scholar
Council of Europe, Convention 108 +, Convention for the protection of individuals with regard to the processing of personal data (2018), www.europarl.europa.eu/meetdocs/2014_2019/plmrep/COMMITTEES/LIBE/DV/2018/09-10/Convention_108_EN.pdf.Google Scholar
Council of Europe, ‘Guidelines on the Protection of Individuals with Regard to the Processing of Personal Data in a World of Big Data’ (2017), https://rm.coe.int/16806ebe7a.Google Scholar
Council of Europe, ‘Report on Artificial Intelligence’, T-PD(2018)09Rev (2019), https://rm.coe.int/artificial-intelligence-and-data-protection-challenges-and-possible-re/168091f8a6.Google Scholar
Dahlem, D and others, ‘Predictability Bounds of Electronic Health Records’ (2015) 5(1) Scientific Reports 1–9.CrossRefGoogle ScholarPubMed
Datatilsynet (The Norwegian Data Protection Authority), ‘Artificial Intelligence and Privacy’ (2018), www.datatilsynet.no/globalassets/global/english/ai-and-privacy.pdf.Google Scholar
Diebold, FX, ‘On the Origin(s) and Development of the Term “Big Data”’ (2012), 12(037) PIER Working Paper.Dorland, WA Newman, Dorland’s Illustrated Medical Dictionary (28th ed., WB Saunders 1994).Google Scholar
Edwards, L and Veale, M, ‘Slave to the Algorithm? Why a “Right to an Explanation” Is Probably Not the Remedy You Are Looking for’ (2017) 16(1) Duke Law and Technology Review 18–84.Google Scholar
El Arass, M and Souissi, N, ‘Data Lifecycle: From Big Data to SmartData’ IEEE 5th International Congress on Information Science and Technology, 208, 80–7. doi: 10.1109/CIST.2018.8596547.CrossRefGoogle Scholar
European Commission – European Group on Ethics in Science and New Technologies, ‘Statement on Artificial Intelligence, Robotics and “Autonomous” Systems’ (2018), https://op.europa.eu/en/publication-detail/-/publication/dfebe62e-4ce9-11e8-be1d-01aa75ed71a1.Google Scholar
European Data Protection Board, ‘Guidelines 05/2020 on Consent under Regulation 2016/679’ (2020), https://edpb.europa.eu/sites/default/files/files/file1/edpb_guidelines_202005_consent_en.pdf.Google Scholar
European Union Agency for Fundamental Rights and Council of Europe, Handbook on European Data Protection Law (Publications Office of the European Union, 2018) 24–27, https://fra.europa.eu/sites/default/files/fra_uploads/fra-coe-edps-2018-handbook-data-protection_en.pdf.Google Scholar
Forgó, N and others, ‘The Principle of Purpose Limitation and Big Data’ in Corrales, M and others (eds), New Technology, Big Data and the Law (Springer Nature Singapore 2017) 17–42.Google Scholar
Goodfellow, I and others, Deep Learning (MIT Press 2016).Google Scholar
Hardesty, L, ‘Crowdsourcing Big-Data Analysis’, MIT News, 30 October 2017, https://news.mit.edu/2017/crowdsourcing-big-data-analysis-1030, accessed 9 November 2019.Google Scholar
Hedge, V and Usmani, S, ‘Parallel and Distributed Deep Learning’ (2016), https://web.stanford.edu/~rezab/classes/cme323/S16/projects_reports/hedge_usmani.pdf.Google Scholar
Herbst, T, ‘Recht auf Löschung’ in Kühling, J and Buchner, B (eds), ‘Datenschutz-Grundverordnung‘, Bundesdatenschutzgesetz (General Data Protection Regulation, Federal Data Protection Act) (C.H. Beck 2018) 459.Google Scholar
Independent High-Level Expert Group on Artificial Intelligence set up by the European Commission, ‘Ethics Guidelines for Trustworthy AI’ (2019), www.aepd.es/sites/default/files/2019-12/ai-ethics-guidelines.pdf.Google Scholar
InteropEHRate, ‘InteropEHRate in a Nutshell’ InteropEHRate (2019), www.interopehrate.eu/interopehrate-in-a-nutshell/, accessed 10 November 2019.Google Scholar
Jensen, PB and others, ‘Mining Electronic Health Records: Towards Better Research Applications and Clinical Care’ (2012) 13(6) Nature Reviews Genetics 395–405.Google Scholar
Khennou, F and others, ‘Improving the Use of Big Data Analytics within Electronic Health Records: A Case Study based OpenEHR’ (2018) 127(1) Procedia Computer Science 60–68.Google Scholar
Männer, R and Lange, R, ‘Rechnen mit Neuronalen Netzen: Wie funktionieren Neuronale Netze und wie werden sie trainiert?’ (Computing with neural networks: How neural networks work and how are they trained?) (1994) 50(5) Physikalische Blätter 445–49.Google Scholar
Martini, M, ‘Art 21 Widerspruchsrecht’ in Paal, BP and Pauly, DA (eds), Datenschutz-Grundverordnung (General Data Protection Regulation) (Beck’sche Kompakt-Kommentare 2017) 60.Google Scholar
Mathworks, ‘Deep Learning Examples: Training a Model from Scratch’, www.mathworks.com/solutions/deep-learning/examples/training-a-model-from-scratch.html, accessed 10 October 2019.Google Scholar
Minsky, M and Papert, S, Perceptrons: An Introduction to Computational Geometry (MIT Press 1969).Google Scholar
Miotto, R and others, ‘Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records’ (2016) 6(26094) Scientific Reports 1–10.Google Scholar
Mitrou, L, ‘AI and GDPR Study’ (2019).Google Scholar
Nguyen, G and others, ‘Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining: A Survey’ (2019) 52 Artificial Intelligence Review 77–124.Google Scholar
Nielsen, MA, Neural Networks and Deep Learning (Determination Press 2015).Google Scholar
Rajaraman, A, ‘More Data Usually Beats Better Algorithms’ Datawocky, 24 March 2008, https://anand.typepad.com/datawocky/2008/03/more-data-usual.html, accessed 8 November 2019.Google Scholar
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation), https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679&from=EN.Google Scholar
Richesson, R and others, ‘Using Electronic Health Record Data in Pragmatic Clinical Trials’ in Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials (NIH Health Care Systems Research Collaboratory 2021), https://rethinkingclinicaltrials.org/chapters/design/using-electronic-health-record-data-pragmatic-clinical-trials-top/using-electronic-health-record-data-in-pragmatic-clinical-trials-introduction/, accessed 10 March 2021.Google Scholar
Rosenblatt, F, ‘The Perceptron: A Probabilistic Model For Information Storage and Organization in the Brain’ (1958) 65(6) Psychological Review 386–408.Google Scholar
Ross, MK and others, ‘“Big Data” and the Electronic Health Record’ (2014) 9(1) Yearbook of Medical Informatics 97–104.Google Scholar
Roth, C, ‘Recht für F&E; Open Innovation’ in Felten, E and others (eds), Digitale Transformation im Wirtschafts- & Steuerrecht (Digital Transformation in Business and Tax Law) (Lindeverlag 2018) 11/21.Google Scholar
Rumelhart, D and others, ‘Learning Representations by Back-Propagating Errors’ (1986) 323 Nature 533–36.Google Scholar
Schlegel, DR and Ficheur, G, ‘Secondary Use of Patient Data: Review of the Literature Published in 2016’ (2017) 26(1) Yearbook of Medical Informatics 68–71.Google Scholar
Schmidt, J and others, ‘Recent Advances and Applications of Machine Learning in Solid-State Materials Science’ (2019) 5(83) npj Computational Materials, www.nature.com/articles/s41524-019-0221-0.pdf.Google Scholar
Shkabatur, J, ‘The Global Commons of Data’ (2018) 22(2) Stanford Technology Law Review 1–46.Google Scholar
Stauton, C and others, ‘The GDPR and the Research Exemption: Considerations on the Necessary Safeguards for Research Biobanks’ (2019) 27(1) European Journal of Human Genetics 1159–67.Google Scholar
TechAmerica Foundation, ‘Demystifying Big Data’ (2012), https://bigdatawg.nist.gov/_uploadfiles/M0068_v1_3903747095.pdf.Google Scholar
UN Recommendation on the Protection and Use of Health-Related Data (2019), https://undocs.org/A/74/277.Google Scholar
Von Schomberg, R, Towards Responsible Research and Innovation in the Information and Communication Technologies and Security Technologies Fields (Publications Office of the European Union 2011).Google Scholar
Wachter, S and others, ‘Counterfactual Explanations Without Opening The Black Box: Automated Decisions and the GDPR’ (2018) 31(2) Harvard Journal of Law and Technology 841–87.Google Scholar
Watson, H, ‘Tutorial: Big Data Analytics: Concepts, Technologies, and Applications’ (2014) 34(1) Communications of the Association for Information Systems 65.Google Scholar
Zarsky, T, ‘Incompatible: The GDPR in the Age of Big Data’ (2017) 47(4) Seton Hall Law Review 995–1020.Google Scholar
Zozus, MN and others, ‘Factors Affecting Accuracy of Data Abstracted from Medical Records’ (2015) 10(10) Plos One e0138649.Google Scholar

Bibliography

Act No. 78-17 of 6 January 1978 on Information Technology, Data Files and Civil Liberties, France, www.ssi.ens.fr/textes/a78-17-text.html, accessed 24 February 2021.Google Scholar
Article 29 Working Party, ‘Guidelines on Automated Individual Decision-Making and Profiling for the Purposes of Regulation 2016/679’, 2018 as last Revised and Adopted on 6 February 2018, https://ec.europa.eu/newsroom/article29/items/612053, accessed 24 February 2021.Google Scholar
Bonney, R, ‘Citizen Science: A Lab Tradition’ (1996) 15(4) Living Birds 7–15.Google Scholar
C-311/18 Data Protection Commissioner V Facebook Ireland and Maximillian Schrems (2020).Google Scholar
Ceccaroni, L and others, ‘Opportunities and Risks for Citizen Science in the Age of Artificial Intelligence’ (2019) 4(1) Citizen Science: Theory and Practice 1–14.Google Scholar
‘Citizen Science’ Oxford English Dictionary, 2020.Google Scholar
‘Citizen Scientist’ Oxford English Dictionary, 2019.Google Scholar
Clarke, R, ‘Regulatory Alternatives for AI’ (2019) 35(4) Computer Law and Security Review.Google Scholar
Corrales Compagnucci, M and others, ‘Homomorphic Encryption: The “Holy Grail” for Big Data Analytics & Legal Compliance in the Pharmaceutical and Healthcare Sector?’ (2019) 3(4) European Pharmaceutical Law Review 144–55.CrossRefGoogle Scholar
Corrales Compagnucci, M, Big Data, Databases and ‘Ownership’ Rights in the Cloud’ (Springer 2020).Google Scholar
Corrales Compagnucci, M and others, ‘Lost on the High Seas Without a Safe Harbor or a Shield? Navigating Cross-Border Data Transfers in the Pharmaceutical Sector After Schrems II Invalidation of the EU-US Privacy Shield’ (2020) 4(3) European Pharmaceutical Law Review 153–60.Google Scholar
Council of Europe, ‘The Protection of Individuals with Regard to Automatic Processing of Personal Data in the Context of Profiling’ Recommendation CM/Rec (2010)13 and explanatory memorandum, 23 November 2010, https://rm.coe.int/16807096c3, accessed 17 May 2021.Google Scholar
David, PA, ‘The Historical Origins of “Open Science”: An Essay on Patronage, Reputation and Common Agency Contracting in the Scientific Revolution’ (2008) 3(2) Capitalism and Society 5–14.Google Scholar
Deng, D and others, ‘Using Social Media for Collaborative Species Identification and Occurrence: Issues, Methods, and Tools’ in Goodchild, M, Pfoser, D and Sui, D (eds), Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information (2012), https://dl.acm.org/doi/10.1145/2442952.2442957, accessed 24 February 2021.Google Scholar
Esteva, A and others, ‘Deep Learning-Enabled Medical Computer Vision’ (2021) 4 npj Digital Medicine 5, https://doi.org/10.1038/s41746-020-00376-2, accessed 24 February 2021.Google Scholar
EU GDPR, ‘Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC’ (General Data Protection Regulation), OJ 2016 L 119/1, https://eur-lex.europa.eu/eli/reg/2016/679/oj, accessed 24 February 2021.Google Scholar
European Commission, ‘High-Level Expert Group on Artificial Intelligence’, https://ec.europa.eu/digital-single-market/en/high-level-expert-group-artificial-intelligence, accessed 12 October 2020.Google Scholar
European Commission, Open Innovation, Open Science, Open to the World: A vision for Europe (Publications Office of the European Union 2016).Google Scholar
European Commission, ‘Open Innovation, Open Science, Open to the World – A Vision for Europe’ White Paper, 2016, https://op.europa.eu/en/publication-detail/-/publication/3213b335-1cbc-11e6-ba9a-01aa75ed71a1, accessed 24 February 2021.Google Scholar
European Parliament Committee on Legal Affairs, Report with Recommendations to the Commission on Civil Law Rules on Robotics’ 27 January 2017, www.europarl.europa.eu/sides/getDoc.do?pubRef=-//EP//NONSGML+REPORT+A8-2017-0005+0+DOC+PDF+V0//EN, accessed 17 May 2021.Google Scholar
European Parliamentary Research Service, ‘How the General Data Protection Regulation Changes the Rules for Scientific Research’ 2019, www.europarl.europa.eu/RegData/etudes/STUD/2019/634447/EPRS_STU(2019)634447_EN.pdf, accessed 17 May 2021.Google Scholar
Flach, P and others, ‘Abduction, Induction, and the Logic of Scientific Knowledge Development’ ECAI ’06 workshop on Abduction and Induction in AI and Scientific Modelling, 2006, www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2000630, accessed 17 May 2021.Google Scholar
High-Level Expert Group on Artificial Intelligence, ‘Ethics Guidelines for Trustworthy AI’ 2018, https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html, accessed 24 February 2021.Google Scholar
Humerick, M, ‘Taking AI Personally: How the E.U. Must Learn to Balance the Interests of Personal Data Privacy & Artificial Intelligence’ (2018) 34(4) Santa Clara High Technology Law Journal 393, https://digitalcommons.law.scu.edu/chtlj/vol34/iss4/3, accessed 24 February 2021.Google Scholar
IMDB, ‘Ghost in the Machine’, www.imdb.com/title/tt0751131/, accessed 15 December 2020.Google Scholar
Information Commissioner’s Office, ‘Security Outcomes’, https://ico.org.uk/for-organisations/security-outcomes/, accessed 11 October 2020.Google Scholar
Irwin, Al, Citizen Science: A Study of People, Expertise, and Sustainable Development (Routledge 1995).Google Scholar
Joppa, LN, ‘The Case for Technology Investments in the Environment’ (2017) 552(7685) Nature 325–27.Google Scholar
King, RD and others, ‘The Automation of Science’ (2009) 324(5923) Science 2–3.Google Scholar
Kitano, H, ‘Artificial Intelligence to Win the Nobel Prize and Beyond: Creating the Engine for Scientific Discovery’ (2016) 37(1) AI Magazine, www.rsc.org/globalassets/22-new-perspectives/discovery/digital-futures/rsc-digital-futures-report---digital.pdf, accessed 17 May 2021.Google Scholar
Lenat, DB and Brown, JS, ‘Why AM and EURISKO Appear to Work’ (1984) 23(3) Artificial Intelligence 236–40.CrossRefGoogle Scholar
Lindsay, RK and others, ‘DENDRAL: A Case Study of the First Expert System for Scientific Hypothesis Formation’ (1993) 61(2) Artificial Intelligence 209–61.Google Scholar
MacDonald, EA, ‘Aurorasaurus: A Citizen Science Platform for Viewing and Reporting the Aurora’ (2015) 13(9) Space Weather 1–12.Google Scholar
Meszaros, J and Ho, C-H, ‘Big Data and Scientific Research: The Secondary Use of Personal Data Under the Research Exemption in the GDPR’ (2018) 59(4) Acta Juridica Hungarica 403–19.Google Scholar
Meszaros, J, Ho, C-H and Corrales Compagnucci, M, ‘Nudging Consent & the New Opt-Out System to the Processing of Health Data in England’ in Corrales Compagnucci, M and others (eds), Legal Tech and the New Sharing Economy (Springer 2020).Google Scholar
Minssen, T and others, ‘The EU-US Privacy Shield Regime for Cross-Border Transfers of Personal Data Under the GDPR: What are the Legal Challenges and How Might these Affect Cloud-Based Technologies, Big Data, and AI in the Medical Sector?’ (2020) 4(1) European Pharmaceutical Law Review 34–50.Google Scholar
OECD, Frascati Manual: Guidelines for Collecting and Reporting Data on Research and Experimental Development (OECD 2015).Google Scholar
OECD, ‘Making Open Science a Reality’ Technology and Industry Policy Papers, No. 25, OECD Publishing, Paris (2015), https://doi.org/10.1787/5jrs2f963zs1-en, accessed 24 February 2021.Google Scholar
Pagallo, U and others, ‘The Rise of Robotics & AI: Technological Advances & Normative Dilemmas’ in Corrales, M and others (eds), Robotics, AI and the Future of Law (Springer 2018) 1–13.Google Scholar
Royal Society of Chemistry, ‘Digital futures, a new frontier for science exploration and invention’ 2020, www.rsc.org/globalassets/22-new-perspectives/discovery/digital-futures/rsc-digital-futures-report---digital.pdf, accessed 17 May 2021.Google Scholar
Schüritz, R and others, ‘Capturing Value from Data: Revenue Models for Data-Driven Services’ Proceedings of the 50th Hawaii International Conference on System Sciences (2017). doi:10.24251/HICSS.2017.648Google Scholar
Sparkes, A and others, ‘Towards Robot Scientists for Autonomous Scientific Discovery’ (2010) 2 (1) Automated Experimentation 1–11.Google Scholar
Suman, AB and Pierce, R, ‘Challenges for Citizen Science and the EU Open Science Agenda Under the GDPR’ (2018) 4(3) European Data Protection Law Review 1–12.Google Scholar
Szalay, A and Gray, J, ‘2020 Computing: Science in an Exponential World’ (2006) 440(7083) Nature 413–14.Google Scholar
The Future of Life Institute, ‘Asilomar AI principles’ developed in conjunction with the 2017 Asilomar Conference (2017), https://futureoflife.org/2017/08/11/ai-principles/, accessed 17 May 2021.Google Scholar
United States Code, 2012 Edition, Supplement 4, Title 15 – COMMERCE AND TRADE 15 U.S.C. 3724 – Crowdsourcing and citizen science (2016), www.govinfo.gov/app/details/USCODE-2016-title15/USCODE-2016-title15-chap63-sec3724, accessed 24 February 2021.Google Scholar

Bibliography

Access Now, ‘Human Rights in the Age of Artificial Intelligence’ November 2018, www.accessnow.org/cms/assets/uploads/2018/11/AI-and-Human-Rights.pdfGoogle Scholar
Ala-Pietilä, P, ‘Towards Trustworthy AI – Ethics & Competitiveness Go Hand-in-Hand’ 2019, European Commission, https://ec.europa.eu/digital-single-market/en/blogposts/towards-trustworthy-ai-ethics-competitiveness-go-hand-hand, accessed 21 May 2020.Google Scholar
Allison-Hope, D and Hodge, M, ‘As Artificial Intelligence Progresses, What Does Responsibility Look Like?’ OpenGlobalRights, www.openglobalrights.org/as-artificial-intelligence-progresses-what-does-real-responsibility-look-like/, accessed 1 May 2021.Google Scholar
Aurey, X, ‘La transformation du corps humain en ressource biomédicale. Etude de droit international et européen’ PhD thesis, Université Panthéon-Assas, 2015.Google Scholar
Azoulay, A, ‘Vers une éthique de l’intelligence artificielle’ www.un.org/fr/chronicle/article/vers-une-ethique-de-lintelligence-artificielle.Google Scholar
Barocas, S and Selbst, AD, ‘Big Data’s Disparate Impact’ (2016) 104(3) California Law Review 671.Google Scholar
Besson, S, ‘Sovereignty, International Law and Democracy’ (2011) 22(2) European Journal of International Law 373.Google Scholar
Blasimme, A and Vayena, E, ‘The Ethics of AI in Biomedical Research, Patient Care, and Public Health’ in Dubber, MD, Pascuale, F and Das, S (eds), The Oxford Handbook of Ethics of AI (Oxford University Press 2020).Google Scholar
Borgesius, FJZ, ‘Discrimination, Artificial Intelligence, and Algorithmic Decision-Making’ Council of Europe, 2018, https://rm.coe.int/discrimination-artificial-intelligenceand-algorithmic-decision-making/1680925d73, accessed 24 June 2021.Google Scholar
Borrillo, D, ‘La République des experts dans la construction des lois: le cas de la bioéthique’ (2011) 14 Histoire&Politique. Politique, culture, société.Google Scholar
Brillat, M, Le principe de non-discrimination à l’épreuve des rapports entre les droits européens (Institut Universitaire Varenne-Collection des Thèses 2016).Google Scholar
Challen, R and others, ‘Artificial Intelligence, Bias and Clinical Safety’ (2019) 28 BMJ Quality & Safety 231. doi:10.1136/bmjqs-2018-008370Google Scholar
Claudot, F, Van Baaren-Baudin, AJ, Chastonay, P, ‘Enseignement de l’éthique et des Droits de l’Homme en Europe’ (2006) 18(1) Santé Publique 85.Google Scholar
Commission Nationale de l’Informatique et des Libertés (CNIL) and Défenseur des droits (France), ‘Algorithmes: prévenir l’automatisation des discriminations’ (31 May 2020), www.defenseurdesdroits.fr/fr/rapports/2020/05/algorithmes-prevenir-lautomatisation-des-discriminations.Google Scholar
Committee of Experts on Internet Intermediaries (MSI-NET), ‘Algorithms and Human Rights: Study on the Human Rights Dimensions of Automated Data Processing Techniques and Possible Regulatory Implications’ Council of Europe study DGI (2017) 12, 2017, https://rm.coe.int/algorithms-and-human-rights-en-rev/16807956b5, accessed 4 February 2022.Google Scholar
Committee on Economic, Social and Cultural Rights (CESCR), ‘The Right to the Highest Attainable Standard of Health’ General Comment No. 14, UN Doc. No. E/C.12/2000/4, 11 August 2000, https://digitallibrary.un.org/record/425041, accessed 1 May 2021.Google Scholar
Cossins, D, ‘Discriminating Algorithms: 5 Times AI Showed Prejudice’ New Scientist, 27 April 2018, www.newscientist.com/article/2166207-discriminating-algorithms-5-times-ai-showed-prejudice/, accessed 1 May 2021.Google Scholar
Couldry, N and Mejias, U, ‘Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject’ (2019) 20(4) Television and New Media 336–49.Google Scholar
Crawford, J, Democracy in International Law: Inaugural Lecture Delivered 5 March 1993 (Cambridge University Press 1994).Google Scholar
Council of Europe, Committee of Experts in Human Rights Dimensions of Automated Data Processing and Different Forms of AI (MSI-AUT), ‘Addressing the Impacts of Algorithms on HR’, Draft recommendation of the Committee of Ministers to member states on the human rights impacts of algorithmic systems (2018) https://rm.coe.int/draft-recommendation-of-the-committee-of-ministers-to-states-on-the-hu/168095eecf, accessed 4 February 2022.Google Scholar
Dalton-Brown, S, ‘The Ethics of Medical AI and the Physician-Patient Relationship’ (2020) 29(1) Cambridge Quarterly of Healthcare Ethics 115.Google Scholar
Erdman, JN, ‘Human Rights Education in Patient Care’ (2017) 38(14) Public Health Review 1.Google Scholar
European Commission, ‘Proposal for a Regulation of the European Parliament and of the Council of 21 April 2021 Laying Down Harmonized Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts’ 2021 COM/2021/206 final, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206Google Scholar
European Commission, ‘White Paper on Artificial Intelligence – A European Approach to Excellence and Trust’ (Brussels, 19 February 2020) COM(2020) 65 final, https://ec.europa.eu/info/sites/default/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf.Google Scholar
European Parliament, ‘Covid-19 Tracing Apps: Ensuring Privacy and Use Across Borders’ 1 December 2020, www.europarl.europa.eu/news/en/headlines/society/20200429STO78174/covid-19-tracing-apps-ensuring-privacy-and-data-protection, accessed 21 May 2020. European Parliament, ‘Resolution of 10 March 2021 with Recommendations to the Commission on Corporate Due Diligence and Corporate Accountability’ (2020/2129(INL)), OJ C 474, 24.11.2021, pp. 11–40, https://ec.europa.eu/info/sites/default/files/commission-white-paper-artificial-intelligence-feb2020_en.pdfGoogle Scholar
Evans, JH, Playing God: Human Genetic Engineering and the Rationalization of Public Bioethical Debate (University of Chicago Press 2002).Google Scholar
Expert Group on Liability and New Technologies – New Technologies Formation, ‘Liability for Artificial Intelligence and Other Emerging Digital Technologies’ 2019, https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=63199, accessed 1 May 2021.Google Scholar
Fefegha, A, ‘Racial Bias and Gender Bias Examples in AI systems’ The Comuzi Journal, 2 September 2018, https://medium.com/thoughts-and-reflections/racial-bias-and-gender-bias-examples-in-ai-systems-7211e4c166a1, accessed 1 May 2021.Google Scholar
Gerards, J and Xenidis, R, ‘Algorithmic Discrimination in Europe: Challenges and Opportunities for Gender Equality and Non-discrimination Law – A Special Report’ (2020) www.equalitylaw.eu/publications, accessed 1 May 2021.Google Scholar
Gillis, TB and Spiess, JL, ‘Big Data and Discrimination’ (2019) 86(2) The University of Chicago Law Review 459.Google Scholar
Hacker, P, ‘Teaching Fairness to Artificial Intelligence: Existing and Novel Strategies against Algorithmic Discrimination under EU Law’ (2018) 55(4) Common Market Law Review 1143–85.Google Scholar
High-Level Expert Group on AI, ‘Ethics Guidelines for Trustworthy AI’, 8 April 2019, https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai, accessed 1 May 2021.Google Scholar
Hoffmann, AL, ‘Where Fairness Fails: Data, Algorithms and the Limits of Antidiscrimination Discourse’ (2019) 22 (7) Information, Communication & Society 900.Google Scholar
Jean, A, De l’autre côté de la Machine – Voyage d’une scientifique au pays des algorithmes (L’observatoire 2020).Google Scholar
Jobin, A, Lenca, M and Vayena, E, ‘The Global Landscape of AI Ethics Guidelines’ (2019) 1 Nature Machine Learning 389–99.Google Scholar
Kaye, D, ‘Report of the Special Rapporteur on the Promotion and Protection of the Right to Freedom of Opinion and Expression’ A/73/348 (2018).Google Scholar
Kriebitz, A, Lütge, C, ‘Artificial Intelligence and Human Rights: A Business Ethical Assessment’ (2020) 5(1) Business and Human Rights Journal 84.Google Scholar
Lebret, A, ‘The European Court of Human Rights and the Framing of Reproductive Issues’ (2020) 18 Droits Fondamentaux, www.crdh.fr/revue/n-18-2020/the-european-court-of-human-rights-and-the-framing-of-reproductive-rights/Google Scholar
Lebret, A and Minssen, T, ‘Digital Health, Artificial Intelligence and Accessibility to Health Care in Denmark’ (2021) 1 European Human Rights Law Review 39.Google Scholar
Lehr, D and Ohm, P, ‘Playing with the Data: What Legal Scholars Should Learn About Machine Learning’ (2017) 51 (653) UCDL Rev., 653–717.Google Scholar
Livingston, S and Risse, M, ‘The Future Impact of Artificial Intelligence on Human Rights’ (2019) 33(2) Ethics and International Affairs 141–58.Google Scholar
Lloyd Booz, K and Hamilton, A, ‘Bias Amplification in Artificial Intelligence Systems’ paper presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, VA, 18–20 October 2018, https://arxiv.org/ftp/arxiv/papers/1809/1809.07842.pdfGoogle Scholar
Lougarre, C, ‘The Right to Health: Legal Content Through Supranational Monitoring’ PhD thesis, University College London, 2016, https://discovery.ucl.ac.uk/id/eprint/1474052/, accessed 1 May 2021.Google Scholar
Martin-Chenut, K, ‘Droit international et démocratie’ (2007) 4(220) Diogène 36.Google Scholar
Mayer Mckinney, S and others, ‘International Evaluation of an AI System for Breast Cancer Screening’ (2020) 577(7788) Nature 89–94.Google Scholar
McGregor, L, Murray, D and Ng, V, ‘International Human Rights Law as a Framework for Algorithmic Accountability’ (2019) 68(2) International and Comparative Law Quarterly 309.Google Scholar
McKenzie, KC, Mishori, R and Ferdowsian, H, ‘Twelve Tips for Incorporating the Study of Human Rights into Medical Education’ (2020) 42(8) Medical Teacher 871.Google Scholar
Minssen, T and others, ‘Regulatory Responses to Medical Machine Learning’ (2020) 7(1) Journal of Law and the Biosciences, https://doi.org/10.1093/jlb/lsaa002Google Scholar
Mittelstadt, B and others, ‘The Ethics of Algorithms: Mapping the Debate’ (2016) 3(2) Big Data & Society https://journals.sagepub.com/doi/full/10.1177/2053951716679679, accessed 4 February 2022.Google Scholar
Morley, J and others, ‘The Ethics of AI in Health Care: A Mapping Review’ (2020) 260(1) Social Science and Medicine 113172. doi: 10.1016/j.socscimed.2020.113172Google Scholar
Narayanan, A, ‘21 Fairness Definitions and Their Politics’ tutorial presented at the Conference on Fairness, Accountability, and Transparency, 23 February 2018. Tutorial at www.youtube.com/watch?v=jIXIuYdnyykGoogle Scholar
Newham, R and others, ‘Human Rights Education in Patient Care: A Literature Review and Critical Discussion’ (2021) 28(2) Nursing Ethics 190.Google Scholar
OEIGWG Chairmanship, ‘Legally Binding Instrument to Regulate, in International Human Rights Law, the Activities of Transnational Corporations and Other Business Enterprises’ second revised draft, 6 August 2020, www.ohchr.org/Documents/HRBodies/HRCouncil/WGTransCorp/Session6/OEIGWG_Chair-Rapporteur_second_revised_draft_LBI_on_TNCs_and_OBEs_with_respect_to_Human_Rights.pdf, accessed 1 May 2021.Google Scholar
ONU, Chronique, Audrey Azoulay, ‘Vers une éthique de l’intelligence artificielle’ www.un.org/fr/chronicle/article/vers-une-ethique-de-lintelligence-artificielle, accessed 21 May 2020.Google Scholar
Parikh, RB, Teeple, S, Navathe, AS, ‘Addressing Bias in Artificial Intelligence in Health Care’ (2019) 322(24) The Journal of the American Medical Association 2377.Google Scholar
Piper, K, ‘Exclusive: Google Cancels AI Ethics Board in Response to Outcry’ Vox, 4 April 2019 www.vox.com/future-perfect/2019/4/4/18295933/google-cancels-ai-ethics-board, accessed 1 May 2021.Google Scholar
Potter, VR, ‘Bioethics: The Science of Survival’ (1970) 14(1) Perspectives in Biology and Medicine 127–53.Google Scholar
Price, WN, ‘Medical AI and Contextual Bias’ (2019) 33(1) Harvard Journal of Law & Technology 66.Google Scholar
Quach, K, ‘MIT Apologizes, Permanently Pulls Offline Huge Dataset that Taught AI Systems to Use Misogynistic Slurs’ The Register, 1 July 2020, www.theregister.com/2020/07/01/mit_dataset_removed/, accessed 1 May 2021.Google Scholar
Ram, N and Gray, D, ‘Mass Surveillance in the Age of COVID-19’ (2020) 7(1) Journal of Law and the Biosciences, https://doi.org/10.1093/jlb/lsaa023.Google Scholar
Raso, FA and others, ‘Artificial Intelligence & Human Rights: Opportunities & Risks’ Berkman Klein Center research publication no 2018-6, 25 September 2018, https://ssrn.com/abstract=3259344, accessed 1 May 2021.Google Scholar
Schmidt, N and Stephens, B, ‘An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination’ (2019) 73(2) Quarterly Report 130.Google Scholar
Schuett, J, ‘A Legal Definition of AI’ Cornell University, 22 August 2021, https://arxiv.org/abs/1909.01095, accessed 24 June 2021.Google Scholar
Schwarz, EC, ‘Human vs. Machine: A Framework of Responsibilities and Duties of Transnational Corporations for Respecting Human Rights in the Use of Artificial Intelligence’ (2019) 58(1) Columbia Journal of Transnational Law 232, www.jtl.columbia.edu/journal-articles/human-vs-machine-a-framework-of-responsibilities-and-duties-of-transnational-corporations-for-respecting-human-rights-in-the-use-of-artificial-intelligence, accessed 1 May 2021Google Scholar
Short, E, ‘It turns out Amazon’s AI hiring tool discriminated against women’ Silicon Republic (11 October 2018) www.siliconrepublic.com/careers/amazon-ai-hiring-tool-women-discrimination.Google Scholar
Sloan, RH and Warner, R, ‘Beyond Bias: Artificial Intelligence and Social Justice’ (2020) 24(1) Virginia Journal of Law and Technology 1.Google Scholar
Tobin, J, The Right to Health in International Law (Oxford University Press 2012).Google Scholar
‘Top Artificial Intelligence Companies in Healthcare to Keep an Eye on’, The Medical Futurist (21 January 2020), https://medicalfuturist.com/top-artificial-intelligence-companies-in-healthcare/#Google Scholar
‘Toronto Declaration: Protecting the Rights to Equality and Non-discrimination in Machine Learning Systems’ RightsCon Toronto, 16 May 2018, www.accessnow.org/the-toronto-declaration-protecting-the-rights-to-equality-and-non-discrimination-in-machine-learning-systems, accessed 1 May 2021.Google Scholar
Tréguier, F, ‘The State and Digital Surveillance in Times of the Covid-19 Pandemic’ Science Po Center for International Studies, 1 June 2020, www.sciencespo.fr/ceri/en/content/state-and-digital-surveillance-times-covid-19-pandemic, accessed 17 February 2021.Google Scholar
Tzimas, T, ‘The Need for an International Treaty for AI from the Perspective of Human Rights’ (2019) 4(1) Scientia Moralitas Journal 73.Google Scholar
UNESCO, ‘Draft Text of a Recommendation on the Ethics of Artificial Intelligence’ 25 June 2021, https://en.unesco.org/artificial-intelligence/ethics, accessed 21 May 2020.Google Scholar
UNESCO, ‘Universal Declaration on Bioethics and Human Rights’ General Conference of UNESCO, 33rd sess. (adopted19 October 2005), https://en.unesco.org/themes/ethics-science-and-technology/bioethics-and-human-rights.Google Scholar
UNGA, Human Rights Council, ‘Elaboration of an International Legally Binding Instrument on Transnational Corporations and Other Business Enterprises with Respect to Human Rights’, A/HRC/RES/26/9, 14 July 2014, https://undocs.org/A/HRC/RES/26/9, accessed 24 June 2021.Google Scholar
UNGA, ‘Report of the Working Group on the Issue of Human Rights and Transnational Corporations and Other Business Enterprises’, A/73/163, 16 July 2018, https://documents-dds-ny.un.org/doc/UNDOC/GEN/N18/224/87/PDF/N1822487.pdf?OpenElementGoogle Scholar
UN Office of the High Commissioner, UN Human Rights Business and Human Rights Technology Project (B-Tech): Applying the UN Guiding Principles on Business and Human Rights to digital technologies, November 2019. Updates on the B-Tech Project may be found at https://www.ohchr.org/EN/Issues/Business/Pages/B-TechProject.aspx.Google Scholar
UN OHCHR, ‘Tackling Discrimination Against Lesbian, Gay, Bi, Trans, & Intersex People: Standards of Conduct for Business’ 2017, www.unfe.org/standards/, accessed 25 June 2021.Google Scholar
UN OHCHR, ‘A Human Rights-Based Approach to Data: Leaving No One Behind in the 2030 Agenda for Sustainable Development’ 2018, www.ohchr.org/Documents/Issues/HRIndicators/GuidanceNoteonApproachtoData.pdf, accessed 24 June 2021.Google Scholar
Vinuesa, R and others, ‘The Role of Artificial Intelligence in Achieving the Sustainable Development Goals’ (2020) 11(233) Nature Communications www.nature.com/articles/s41467-019-14108-y, accessed 24 June 2021.Google Scholar
Wachter, S, Mittelstadt, B and Russell, C, ‘Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI’ 2020, https://ssrn.com/abstract=3547922, accessed 1 May 2021.Google Scholar
WHO, ‘Contact Tracing in the Context of COVID-19: Interim Guidance’ 10 May 2020, https://apps.who.int/iris/handle/10665/332049, accessed 21 May 2020.Google Scholar
WHO, ‘Ethical Considerations to Guide the Use of Digital Proximity Tracking Technologies for COVID-19 Contact Tracing’ interim guidance, 28 May 2020, www.who.int/publications/i/item/WHO-2019-nCoV-Ethics_Contact_tracing_apps-2020.1, accessed 17 February 2021.Google Scholar
WHO, ‘Global Strategy on Digital Health 2020–2025’ 2021, www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf, accessed 4 February 2022.Google Scholar
WHO, ‘Surveillance Strategies for COVID-19 Human Infection’ interim guidance, 10 May 2020, https://apps.who.int/iris/handle/10665/332051, accessed 21 May 2020.Google Scholar
WHO, ‘What You Need to Know About Digital Health Systems’ e-health, 2019, www.euro.who.int/en/health-topics/Health-systems/e-health/news/news/2019/2/what-you-need-to-know-about-digital-health-systems, accessed 24 June 2021.Google Scholar
WHO, ‘WHO Guidelines on Ethical Issues in Public Health Surveillance’ 2017, https://apps.who.int/iris/bitstream/handle/10665/255721/9789241512657-eng.pdf?sequence=1, accessed 7 May 2020.Google Scholar
WHO Regional Office for Europe, ‘Future of Digital Health Systems: Report on the WHO Symposium on the Future of Digital Health Systems in the European Region’ 6–8 February 2019, https://apps.who.int/iris/bitstream/handle/10665/329032/9789289059992-eng.pdf, accessed 24 June 2021.Google Scholar
World Medical Assembly, ‘Resolution on the Inclusion of Medical Ethics and Human Rights in the Curriculum of Medical Schools World-wide’ adopted by the 51st WMA General Assembly, Tel Aviv, Oct 1999, revised by the 66th WMA General Assembly, Moscow, October 2015, www.wma.net/policies-post/wma-resolution-on-the-inclusion-of-medical-ethics-and-human-rights-in-the-curriculum-of-medical-schools-world-wide/#:~:text=The%20WMA%20believes%20that%20medical,graduate%20and%20continuing%20medical%20education accessed 24 June 2021.Google Scholar
Yeung, K, ‘Responsibility and AI’ Council of Europe study DGI (2019) 05, Expert Committee in Human Rights Dimensions of Automated Data Processing and Different Forms of Artificial Intelligence (MSI-AUT), 2019, https://rm.coe.int/responsability-and-ai-en/168097d9c5, accessed 4 February 2022.Google Scholar
Yeung, K, Howes, A and Pogrebna, G, ‘AI Governance by Human-Rights Centered Design, Deliberation, and Oversight: An End to Ethics Washing’ in Dubber, MD, Pascuale, F and Das, S (eds), The Oxford Handbook of Ethics of AI (Oxford University Press 2020).Google Scholar
Zenios, SA and others, ‘Evidence-Based Organ Allocation’ (1999) 107(1) The American Journal of Medicine 52.Google Scholar

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