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  • High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare | BMC Medical Ethics
  • Health Law and Medical Ethics

High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare | BMC Medical Ethics

admin January 17, 2025 0
High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare | BMC Medical Ethics
  • Nazar M, Alam MM, Yafi E, Su’ud MM. A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques. IEEE Access. 2021;9:153316–48.

    Article 

    Google Scholar 

  • Azencott CA. Machine learning and genomics: precision medicine versus patient privacy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences [Internet]. 2018 Sep 13 [cited 2022 Dec 15]; Available from: https://doi.org/10.1098/rsta.2017.0350

  • Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep. 2014;16(1):441.

    Article 

    Google Scholar 

  • Ramesh AN, Kambhampati C, Monson JRT, Drew PJ. Artificial intelligence in medicine. Ann R Coll Surg Engl. 2004;86(5):334–8.

    Article 

    Google Scholar 

  • Somashekhar SP, Sepúlveda MJ, Puglielli S, Norden AD, Shortliffe EH, Rohit Kumar C, et al. Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board. Ann Oncol. 2018;29(2):418–23.

    Article 

    Google Scholar 

  • Li Y. Research and Application of Deep Learning in Image Recognition. In: 2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) [Internet]. 2022. pp. 994–9. Available from: https://doi.org/10.1093/annonc/mdx781

  • Amato F, López A, Peña-Méndez EM, Vaňhara P, Hampl A, Havel J. Artificial neural networks in medical diagnosis. J Appl Biomed. 2013;11(2):47–58.

    Article 

    Google Scholar 

  • Motulsky A, Nikiema JN, Després P, Castonguay A, Cousineau M, Martineau JT et al. Promesses de l’IA en santé [Internet]. Québec: Observatoire international sur les impacts sociétaux de l’IA et du numérique; 2022 Oct [cited 2023 Oct 18]. Available from: https://docdro.id/OGeIz8c

  • Lawson BE, Atakan Varol H, Sup F, Goldfarb M. Stumble detection and classification for an intelligent transfemoral prosthesis. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology [Internet]. 2010. pp. 511–4. Available from: https://doi.org/10.1109/IEMBS.2010.5626021

  • Aristidou A, Jena R, Topol EJ. Bridging the chasm between AI and clinical implementation. Lancet. 2022;399(10325):620.

    Article 

    Google Scholar 

  • Ferryman K. Rethinking the AI Chasm. Am J Bioeth. 2022;22(5):29–30.

    Article 

    Google Scholar 

  • Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality [Internet]., Rochester NY. 2024 [cited 2024 Aug 15]. Available from: https://papers.ssrn.com/abstract=4795198

  • Régis C, Laverdiere M. Soutenir l’encadrement des pratiques professionnelles en matière d’intelligence artificielle dans le secteur de la santé et des relations humaines: Proposition d’un prototype de code de déontologie [Internet]. Montreal: University of Montreal H-POD; 2023 [cited 2023 Sep 8] p. 36. Available from: https://www.docdroid.net/dNycfuv/document-final-iacodedeontologiesante-pdf

  • OECD. OECD Framework for the Classification of AI systems [Internet]. 2022. Available from: https://www.oecd-ilibrary.org/content/paper/cb6d9eca-en

  • OECD. Artificial Intelligence in Society [Internet]. 2019. Available from: https://www.oecd-ilibrary.org/content/publication/eedfee77-en

  • OECD. Explanatory memorandum on the updated OECD definition of an AI system [Internet]. Paris: OECD. 2024 Mar [cited 2024 Aug 16]. Available from: https://www.oecd-ilibrary.org/science-and-technology/explanatory-memorandum-on-the-updated-oecd-definition-of-an-ai-system_623da898-en

  • Tan P, Xi Y, Chao S, Jiang D, Liu Z, Fan Y, et al. An Artificial Intelligence-Enhanced Blood Pressure Monitor Wristband Based on Piezoelectric Nanogenerator. Biosens (Basel). 2022;12(4):234.

    Article 

    Google Scholar 

  • Hussein A, Sallam ME, Abdalla MYA. Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence. Mesopotamian J Artif Intell Healthc. 2023;2023:40–4.

    Article 

    Google Scholar 

  • Min-Allah N, Alahmed BA, Albreek EM, Alghamdi LS, Alawad DA, Alharbi AS, et al. A survey of COVID-19 contact-tracing apps. Comput Biol Med. 2021;137:104787.

    Article 

    Google Scholar 

  • Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8(7):2328–31.

    Article 

    Google Scholar 

  • Mintz Y, Brodie R. Introduction to artificial intelligence in medicine. Minim Invasive Therapy Allied Technol. 2019;28(2):73–81.

    Article 

    Google Scholar 

  • Shaheen MY. Applications of Artificial Intelligence (AI) in healthcare: A review. ScienceOpen Preprints [Internet]. 2021 Sep 25 [cited 2024 Aug 4]; Available from: https://www.scienceopen.com/hosted-document?doi=10.14293/S2199-1006.1.SOR-.PPVRY8K.v1

  • Kimiafar K, Sarbaz M, Tabatabaei SM, Ghaddaripouri K, Mousavi A, Mehneh M, et al. Artificial Intelligence Literacy Among Healthcare Professionals and Students: A Systematic Review. Front Health Inf. 2023;12:168.

    Article 

    Google Scholar 

  • Reddy S, Allan S, Coghlan S, Cooper P. A governance model for the application of AI in health care. J Am Med Inform Assoc. 2020;27(3):491–7.

    Article 

    Google Scholar 

  • AI Index. Report 2023 – Artificial Intelligence Index [Internet]. [cited 2023 Jul 5]. Available from: https://aiindex.stanford.edu/report/

  • Jobin A, Ienca M, Vayena E. The global landscape of AI ethics guidelines. Nat Mach Intell. 2019;1(9):389–99.

    Article 

    Google Scholar 

  • World Health Organization. WHO guideline. [Internet]. 2019 [cited 2020 Nov 28]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK541902/

  • The Declaration [Internet]. Déclaration de Montréal IA responsable. [cited 2023 Sep 8]. Available from: https://montrealdeclaration-responsibleai.com/the-declaration/

  • Google AI. [Internet]. [cited 2023 Sep 8]. Google AI Principles. Available from: https://ai.google/responsibility/principles/

  • AI Ethics | IBM [Internet]. [cited 2023 Sep 8]. Available from: https://www.ibm.com/topics/ai-ethics

  • Microsoft Responsible. AI | Microsoft AI [Internet]. [cited 2023 Sep 8]. Available from: https://www.microsoft.com/en-us/ai/responsible-ai

  • Telia Company [Internet]. [cited 2023 Sep 8]. Available from: https://www.teliacompany.com/en/articles/ai-ethics

  • Boddington P. Towards a Code of Ethics for Artificial Intelligence [Internet]. Cham: Springer International Publishing; 2017 [cited 2024 Aug 4]. (Artificial Intelligence: Foundations, Theory, and Algorithms). Available from: http://link.springer.com/https://doi.org/10.1007/978-3-319-60648-4

  • Bouquet B. Éthique et travail social [Internet]. Dunod. Paris: Dunod; 2017 [cited 2023 Jul 5]. 288 p. (Santé Social). Available from: https://www.dunod.com/sciences-humaines-et-sociales/ethique-et-travail-social-une-recherche-du-sens-0

  • Robles Carrillo M. Artificial intelligence: From ethics to law. Telecomm Policy. 2020;44(6):101937.

    Article 

    Google Scholar 

  • Larose G. Droit, déontologie et éthique clinique. In: Éthique clinique : un guide pour aborder la pratique [Internet]. Montreal: Sainte Justine Hospital; 2015 [cited 2023 Feb 1]. pp. 89–96. (Actions cliniques). Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=%C3%89thique+clinique+%3A+un+guide+pour+aborder+la+pratique&btnG=

  • Pimont M. L’éthique : fondements, approches et applications en santé et services sociaux. Equilibre. 2016;11(1):4–15.

    Google Scholar 

  • Stanford University Human-centered Artificial Intelligence. Artificial Intelligence Index Report 2024 [Internet]. Stanford University Human-centered Artificial Intelligence; 2024 [cited 2024 Aug 16] p. 502. Report No.: Index. Available from: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf

  • Dameski A. A Comprehensive Ethical Framework for AI Entities: Foundations. In: Iklé M, Franz A, Rzepka R, Goertzel B, editors. Artificial General Intelligence. Cham: Springer International Publishing; 2018. pp. 42–51.

    Chapter 

    Google Scholar 

  • Jean A. Une brève introduction à l’intelligence artificielle. Med Sci (Paris). 2020;36(11):1059–67.

    Article 

    Google Scholar 

  • Cai Q, Luo X, Wang P, Gao C, Zhao P. Hybrid model-driven and data-driven control method based on machine learning algorithm in energy hub and application. Appl Energy. 2022;305:117913.

    Article 

    Google Scholar 

  • Anom BY. Ethics of Big Data and artificial intelligence in medicine. Ethics Med Public Health. 2020;15:100568.

    Article 

    Google Scholar 

  • Sharon T, Zandbergen D. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media Soc. 2017;19(11):1695–709.

    Article 

    Google Scholar 

  • Lupton D. The Quantified Self. Wiley; 2016. p. 196.

  • Walters GJ. Privacy and security: an ethical analysis. SIGCAS Comput Soc. 2001;31(2):8–23.

    Article 

    Google Scholar 

  • Goodman K. Ethics in Health Informatics. Yearbook of Medical Informatics [Internet]. 2020;29. Available from: https://doi.org/10.1055/s-0040-1701966

  • Beauchamp TL, Childress JF. Principles of Biomedical Ethics [Internet]. Oxford University Press; 2001. 470 p. Available from: https://books.google.ca/books?id=_14H7MOw1o4C

  • Gillon R. Defending the four principles approach as a good basis for good medical practice and therefore for good medical ethics. J Med Ethics. 2015;41(1):111–6.

    Article 

    Google Scholar 

  • Mokrosinska D. Privacy and Autonomy: On Some Misconceptions Concerning the Political Dimensions of Privacy. Law Philos. 2018;37(2):117–43.

    Article 

    Google Scholar 

  • Koepsell D. Duties of Science to Society (and Vice Versa). In: Koepsell D, editor. Scientific Integrity and Research Ethics: An Approach from the Ethos of Science [Internet]. Cham: Springer International Publishing; 2017 [cited 2023 Jul 5]. pp. 85–95. (SpringerBriefs in Ethics). Available from: https://doi.org/10.1007/978-3-319-51277-8_8

  • Formarier M. La relation de soin, concepts et finalités. Recherche en soins infirmiers. 2007;89(2):33–42.

    Article 

    Google Scholar 

  • Gerke S, Minssen T, Yu H, Cohen IG. Ethical and legal issues of ingestible electronic sensors. Nat Electron. 2019;2(8):329–34.

    Article 

    Google Scholar 

  • Abdullah YI, Schuman JS, Shabsigh R, Caplan A, Al-Aswad LA. Ethics of Artificial Intelligence in Medicine and Ophthalmology. Asia-Pacific J Ophthalmol. 2021;10(3):289.

    Article 

    Google Scholar 

  • Currie G, Hawk KE. Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine. Semin Nucl Med. 2021;51(2):120–5.

    Article 

    Google Scholar 

  • Baker R. Confidentiality in Professional Medical Ethics. Am J Bioeth. 2006;6(2):39–41.

    Article 

    Google Scholar 

  • Protect the public. | Collège des médecins du Québec [Internet]. [cited 2023 Sep 8]. Available from: https://www.cmq.org/en/protect-the-public

  • Siegler M. Confidentiality in Medicine: A Decrepit Concept. N Engl J Med. 1982;307(24):1518–21.

    Article 

    Google Scholar 

  • Artificial Intelligence [AI] in Healthcare Market Size [Internet]. Fortune Business Insights. 2024 Jul [cited 2024 Aug 16] p. 159. Report No.: FBI100534 Source: Available from: https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-in-healthcare-market-100534

  • Henderson B, Flood C, Scassa T. Artificial Intelligence in Canadian Healthcare: Will the Law Protect Us from Algorithmic Bias Resulting in Discrimination? Can J Law Technol. 2022;19(2):475.

    Google Scholar 

  • Amann J, Blasimme A, Vayena E, Frey D, Madai VI. the Precise4Q consortium. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inf Decis Mak. 2020;20(1):310.

    Article 

    Google Scholar 

  • Sharon T. The Googlization of health research: from disruptive innovation to disruptive ethics. Per Med. 2016;13(6):563–74.

    Article 

    Google Scholar 

  • Rumbold JMM, Pierscionek BK. A critique of the regulation of data science in healthcare research in the European Union. BMC Med Ethics. 2017;18(1):27.

    Article 

    Google Scholar 

  • Spiekermann S, Korunovska J, Langheinrich M. Inside the Organization: Why Privacy and Security Engineering Is a Challenge for Engineers. Proc IEEE. 2019;107(3):600–15.

    Article 

    Google Scholar 

  • U.S. HIPAA Privacy Rule [Internet]. U.S. Code of Federal Regulations. Section 160.103; 164.508. Available from: https://www.ecfr.gov/current/title-45/part-160

  • Australian Privacy Act [Internet]. Australian Federal Register of Legislation, 119 1988. Available from: https://www.oaic.gov.au/privacy/privacy-legislation/the-privacy-act

  • French Data Protection Authority. (Commission nationale de l’informatique et des libertés). Cnil.fr. [cited 2023 Oct 13]. What is health information ? / Qu’est-ce ce qu’une donnée de santé ? https://www.cnil.fr/fr/quest-ce-ce-quune-donnee-de-sante

  • 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) [Internet]. OJ L, (EU) 2016/679 Apr 27, 2016. Available from: https://eur-lex.europa.eu/eli/reg/2016/679/oj

  • Pesapane F, Volonté C, Codari M, Sardanelli F. Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States. Insights Imaging. 2018;9(5):745–53.

    Article 

    Google Scholar 

  • California Consumer Privacy Act [Internet]. California Civil Code. Section 1798.100–1798.199.100. Available from: https://leginfo.legislature.ca.gov/faces/codes_displaySection.xhtml?lawCode=CIV&sectionNum=1798.140

  • An Act to modernize legislative provisions as regards the protection of personal information [Internet]. RLRQ, c. 25 Sep 22. 2021. Available from: https://www.canlii.org/en/qc/laws/astat/sq-2021-c-25/latest/sq-2021-c-25.html

  • Quebec Act respecting the protection. of personal information in the private sector [Internet]. Sect. chapter P-39.1 p. preprint 12–1. Available from: https://www.legisquebec.gouv.qc.ca/en/document/cs/p-39.1

  • Quebec Act respecting Access to documents held by public bodies. and the Protection of personal information [Internet]. Sect. chapter A-2.1 p. preprint 65.2. Available from: https://www.legisquebec.gouv.qc.ca/en/document/cs/A-2.1

  • Christman J. Autonomy in Moral and Political Philosophy. In: The Stanford Encyclopedia of Philosophy [Internet]. Fall 2020. Stanford: Metaphysics Research Lab, Stanford University; 2020 [cited 2023 Sep 8]. Available from: https://plato.stanford.edu/archives/fall2020/entries/autonomy-moral/

  • Miquel PA. Respect et inviolabilité du corps humain. Noesis. 2007;(12):239–63.

  • Erasmus A, Brunet TDP, Fisher E. What is Interpretability? Philos Technol. 2021;34(4):833–62.

    Article 

    Google Scholar 

  • Faden RR. King TLBI collaboration with NMP. A History and Theory of Informed Consent [Internet]. Oxford, New York: Oxford University Press; 1986. 408 p. Available from: https://books.google.ca/books?hl=fr&lr=&id=jgi7OWxDT9cC&oi=fnd&pg=PA3&dq=A+History+and+Theory+of+Informed+Consent&ots=ZiOTZYXiQ8&sig=4Ytxls3xoQBerh3ruGkCKSZTLf8&redir_esc=y#v=onepage&q=A%20History%20and%20Theory%20of%20Informed%20Consent&f=false

  • Cordeiro JV. Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges. Frontiers in Medicine [Internet]. 2021 [cited 2022 Dec 15];8. Available from: https://www.frontiersin.org/articles/https://doi.org/10.3389/fmed.2021.647897

  • Porsdam Mann S, Savulescu J, Sahakian BJ. Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2016;374(2083):20160130.

  • Pham A, Rubel A, Castro C, editors. Autonomy, Agency, and Responsibility. In: Algorithms and : The Ethics of Automated Decision Systems [Internet]. Cambridge: Cambridge University Press; 2021 [cited 2024 Aug 5]. pp. 21–42. Available from: https://www.cambridge.org/core/books/algorithms-and-autonomy/autonomy-agency-and-responsibility/BA4D809382F63A0DB4F9549EE9E99641

  • Duguet J, Chassang G, Béranger J, Enjeux. répercussions et cadre éthique relatifs à l’Intelligence Artificielle en santé. Vers une Intelligence Artificielle éthique en médecine. Droit, Santé et Société. 2019;3(3):30–9.

  • de Marcellis-Warin N, Marty F, Thelisson E, Warin T. Intelligence artificielle et manipulations des comportements de marché : l’évaluation ex ante dans l’arsenal du régulateur. Revue Int de droit économique. 2020;t XXXIV(2):203–45.

    Google Scholar 

  • SUNSTEIN CR. Sludge Audits. Behavioural Public Policy. 2020/01/06 ed. 2022;6(4):654–73.

  • Birhane A. Algorithmic injustice: a relational ethics approach. Patterns. 2021;2(2):100205.

    Article 

    Google Scholar 

  • Abeezar S. Consent requires more than respect for autonomy [Internet]. Journal of Medical Ethics blog. 2021 [cited 2023 Sep 8]. Available from: https://blogs.bmj.com/medical-ethics/2021/08/27/consent-requires-more-than-respect-for-autonomy/

  • Cohen IG. Informed Consent and Medical Artificial Intelligence: What to Tell the Patient? the georgetown law journal [Internet]. 108. Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=%22Informed+Consent+and+Medical+Artificial+Intelligence%3A+What+to+Tell+the+Patient%3F%22&btnG=.

  • Philips-Nootens S, Kouri RP. Éléments de responsabilité civile médicale – Le droit dans le quotidien de la médecine [Internet]. 5ème. Éditions Yvon Blais; 2022 [cited 2023 Sep 8]. Available from: https://www.wilsonlafleur.com/wilsonlafleur/CatDetails.aspx?C=347.527.22

  • Shearer E, Cho M, Magnus D. Chapter 23 – Regulatory, socithical, and legal issues of artificial intelligence in medicine. In: Xing L, Giger ML, Min JK, editors. Artificial Intelligence in Medicine [Internet]. Academic Press; 2021 [cited 2022 Dec 15]. pp. 457–77. Available from: https://www.sciencedirect.com/science/article/pii/B9780128212592000235

  • Turner BAL, Rainie M, Anderson A, Perrin. Madhu Kumar and Erica. Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information [Internet]. Pew Research Center. 2019 [cited 2024 Aug 16]. Available from: https://www.pewresearch.org/internet/2019/11/15/americans-and-privacy-concerned-confused-and-feeling-lack-of-control-over-their-personal-information/

  • Viard-Guillot L. 82% des internautes protègent leurs données personnelles en ligne – Insee Focus – 272 [Internet]. 2022 [cited 2024 Aug 16]. Available from: https://www.insee.fr/fr/statistiques/6475020

  • Dufresne Y, Dumouchel D, Poirier W. Fondements de l’acceptabilité sociale des applications de traçage en temps de pandémie- technophobie, crainte sanitaire ou idéologie démocratique [Internet]. International Observatory on the societal impacts of AI and digital technology; 2021 Jun [cited 2023 Sep 8]. Available from: https://www.docdroid.com/8B7QzzK/fondements-de-lacceptabilite-sociale-des-applications-de-tracage-en-temps-de-pandemie-technophobie-crainte-sanitaire-ou-ideologie-democratique-pdf

  • Crichton C. L’intelligence artificielle dans la révision de la loi bioéthique – IP/IT et Communication | Dalloz Actualité [Internet]. Dalloz Actualité IP/IT. 2021 [cited 2023 Sep 8]. Available from: https://www.dalloz-actualite.fr/node/l-intelligence-artificielle-dans-revision-de-loi-bioethique

  • Besse P, Besse-Patin A, Castets-Renard C. Implications juridiques et éthiques des algorithmes d’intelligence artificielle dans le domaine de la santé. Statistique et Société. 2020;8(3):21–53.

    Article 

    Google Scholar 

  • Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019;25(9):1337–40.

    Article 

    Google Scholar 

  • Crawford K, Miltner K, Gray M. Critiquing Big Data: Politics Ethics Epistemology (2014) International Journal of Communication 8 1663; Boyd D Crawford K ‘Critical Questions for Big Data: Provocations for a Cultural Technological and Scholarly Phenomenon. Information, Communication & Society. 2012;15(5):662.

  • Abràmoff MD, Tobey D, Char DS. Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process. Am J Ophthalmol. 2020;214:134–42.

    Article 

    Google Scholar 

  • Joyce K, Smith-Doerr L, Alegria S, Bell S, Cruz T, Hoffman SG, et al. Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change. Socius. 2021;7:2378023121999581.

    Article 

    Google Scholar 

  • Chen S, Bergman D, Miller K, Kavanagh A, Frownfelter J, Showalter J. Using applied machine learning to predict healthcare utilization based on socioeconomic determinants of care. Am J Manag Care. 2020;26(1):26–31.

    Article 

    Google Scholar 

  • Onukwugha E, Duru OK, Peprah E, Foreword. Big Data and Its Application in Health Disparities Research. Ethn Dis 27(2):69–72.

  • Buolamwini J, Gebru T. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In: Proceedings of the 1st Conference on Fairness, Accountability and Transparency [Internet]. PMLR; 2018 [cited 2024 Aug 16]. pp. 77–91. Available from: https://proceedings.mlr.press/v81/buolamwini18a.html

  • Khaitan T. A Theory of Discrimination Law [Internet]. Oxford, New York: Oxford University Press; 2015. 288 p. Available from: https://books.google.ca/books?hl=fr%26lr=%26id=HwjHCQAAQBAJ%26oi=fnd%26pg=PP1%26dq=A+Theory+of+Discrimination+Law%26ots=S_9upVam-5%26sig=5-iB_YYtRfeBMQR3-LacAT64UGw%26redir_esc=y#v=onepage%26q=A%20Theory%20of%20Discrimination%20Law%26f=false

  • www.mipex.eu [Internet]. [cited 2023 Sep 8]. Anti-discrimination – MIPEX 2020. Available from: https://www.mipex.eu/anti-discrimination

  • Li Vigni F, Chapitre. 1. Les théories de la complexité : un essai de mise en ordre. In: Histoire et sociologie des sciences de la complexité [Internet]. Paris: Éditions Matériologiques; 2022. pp. 17–44. (Modélisations, simulations, systèmes complexes). Available from: https://www.cairn.info/histoire-et-sociologie-des-sciences–9782373613346-p-17.htm

  • Sabouret N. The Conversation. 2020 [cited 2023 Sep 8]. Why Artificial Intelligence Gets It Wrong All the Time. Available from: http://theconversation.com/pourquoi-lintelligence-artificielle-se-trompe-tout-le-temps-143019

  • Todisco I, Giglio GEM, Zerlenga O. Automatic Image Recognition. Applications to Architecture. In: Luigini A, editor. Proceedings of the 1st International and Interdisciplinary Conference on Digital Environments for Education, Arts and Heritage [Internet]. Cham: Springer International Publishing; 2019. pp. 106–15. (Advances in Intelligent Systems and Computing). Available from: https://doi.org/10.1007/978-3-030-12240-9_12

  • Heaven D. Why deep-learning AIs are so easy to fool. Nature. 2019;574(7777):163–6.

    Article 

    Google Scholar 

  • Finlayson SG, Bowers JD, Ito J, Zittrain JL, Beam AL, Kohane IS. Adversarial attacks on medical machine learning. Science. 2019;363(6433):1287–9.

    Article 

    Google Scholar 

  • Ozturk A. Lessons Learned from Robotics and AI in a Liability Context: A Sustainability Perspective. In: Carpenter A, Johansson TM, Skinner JA, editors. Sustainability in the Maritime Domain: Towards Ocean Governance and Beyond [Internet]. Cham: Springer International Publishing; 2021 [cited 2023 Feb 2]. pp. 315–35. (Strategies for Sustainability). Available from: https://doi.org/10.1007/978-3-030-69325-1_16

  • Bond RR, Novotny T, Andrsova I, Koc L, Sisakova M, Finlay D, et al. Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms. J Electrocardiology. 2018;51(6, Supplement):S6–11. https://doi.org/10.1016/j.jelectrocard.2018.08.007.

  • Lyell D, Magrabi F, Raban MZ, Pont LG, Baysari MT, Day RO, et al. Automation bias in electronic prescribing. BMC Med Inform Decis Mak. 2017;17(1):28. https://doi.org/10.1186/s12911-017-0425-5.

  • O’Sullivan S, Nevejans N, Allen C, Blyth A, Leonard S, Pagallo U, et al. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery. Int J Med Rob Comput Assist Surg. 2019;15(1):e1968.

    Article 

    Google Scholar 

  • Gracia D. The Foundation of Medical Ethics in the Democratic Evolution of Modern Society. In: Thomasma DC, Weisstub DN, Kushner TK, Viafora C, editors. Clinical Bioethics: A Search for the Foundations [Internet]. Dordrecht: Springer Netherlands; 2005 [cited 2023 Sep 8]. pp. 33–40. (International Library of Ethics, Law, and the New Medicine). Available from: https://doi.org/10.1007/1-4020-3593-4_3

  • World Health Organization. Ethics and governance of artificial intelligence for health [Internet]. Geneva: World Health Organization. 2021 [cited 2023 Feb 1]. Available from: https://www.who.int/publications-detail-redirect/9789240029200

  • Canada H. Good machine learning practice for medical device development: Guiding principles [Internet]. 2021 [cited 2023 Sep 8]. Available from: https://www.canada.ca/en/health-canada/services/drugs-health-products/medical-devices/good-machine-learning-practice-medical-device-development.html

  • Cousineau M, Castonguay A, Définitions. et usages de l’IA en santé [Internet]. Montréal: International Observatory on the societal impacts of AI and digital technology; 2022 Mar [cited 2023 Sep 8]. Available from: https://www.docdroid.com/X6knvzZ/definitions-et-usages-de-lia-en-sante-pdf

  • Enarsson T, Enqvist L, Naarttijärvi M. Approaching the human in the loop – legal perspectives on hybrid human/algorithmic decision-making in three contexts. Inform Commun Technol Law. 2022;31(1):123–53.

    Article 

    Google Scholar 

  • Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on Artificial Intelligence. (Artificial Intelligence Act) and amending certain Union Legislative Acts [Internet]. COM/2021/206 final 2021. Available from: https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A52021PC0206

  • Tessier C. Éthique et IA: analyse et discussion. In: PFIA 2021 [Internet]., Bordeaux F. 2021 [cited 2023 Sep 8]. Available from: https://hal.science/hal-03280105

  • Brundage M, Avin S, Jack Clark H, Toner P, Eckersley, Garfinkel B et al. The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation [Internet]. Future of Humanity Institute; University of Oxford; Centre for the Study of Existential Risk; University of Cambridge; Center for a New American Security Electronic Frontier Foundation; OpenAI; 2018 Feb [cited 2022 Dec 15] p. 99. Available from: https://arxiv-org.ezproxy.u-paris.fr/pdf/1802.07228.pdf&sa=D&ust=1550739471109000.pdf

  • Evans B, Ossorio P. The Challenge of Regulating Clinical Decision Support Software After 21st Century Cures. Am J Law Med. 2018;44(2–3):237–51.

    Article 

    Google Scholar 

  • Health C, for D. and R. Artificial Intelligence and Machine Learning in Software as a Medical Device. FDA [Internet]. 2023 Apr 8 [cited 2023 Sep 8]; Available from: https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device

  • Health C, for D. and R. Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. FDA [Internet]. 2022 May 10 [cited 2023 Sep 8]; Available from: https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices

  • FDA. Proposed Regulatory Framework for modifications to Artificial Intelligence/Machine Learning (AI/ML) based software as a medical device (SaMD) [Internet]. U.S. Food and Drug Administration; [cited 2023 Sep 8]. Available from: https://www.fda.gov/media/122535/download

  • U.S. Food and Drug Administration. Artificial Intelligence & Medical Products: How CBER, CDER, CDRH, and OCP are Working Together [Internet]. Silver Spring, Maryland: U.S. Food and Drug Administration; 2024 Mar [cited 2024 Aug 16] p. 7. Available from: https://www.fda.gov/media/177030/download?attachment

  • Régis C, Flood CM. AI and Health Law [Internet]., Rochester NY. 2021 [cited 2023 Sep 8]. Available from: https://papers.ssrn.com/abstract=3733964

  • Schönberger D. Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications. Int J Law Inform Technol. 2019;27(2):171–203.

    Article 

    Google Scholar 

  • Working group on 28th measure. Créer les conditions d’un développement vertueux des objets connectés et des applications mobiles en santé [Internet]. French Ministry of Health; 2016 Oct [cited 2023 Sep 8]. Report No.: GT 28 CSF. Available from: https://sante.gouv.fr/IMG/pdf/rapport-gt28-octobre-2016-vf-full.pdf

  • The Artificial Intelligence and Data Act (AIDA) [Internet]. Canadian Government. 2023 Mar [cited 2023 Sep 8]. Available from: https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act-aida-companion-document

  • Yoon JH, Kim EK. Deep Learning-Based Artificial Intelligence for Mammography. Korean J Radiol. 2021;22(8):1225–39.

    Article 

    Google Scholar 

  • Seibold M, Maurer S, Hoch A, Zingg P, Farshad M, Navab N, et al. Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery. Sci Rep. 2021;11(1):3993.

    Article 

    Google Scholar 

  • Snyder B. Our Misplaced Fear of Job-Stealing Robots [Internet]. Stanford Graduate School of Business. 2019 [cited 2023 Sep 8]. Available from: https://www.gsb.stanford.edu/insights/misplaced-fear-job-stealing-robots

  • Bettache M, Foisy L. Intelligence artificielle et transformation des emplois. Question(s) de Manage. 2019;25(3):61.

    Article 

    Google Scholar 

  • Mazurowski MA. Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce. J Am Coll Radiol. 2019;16(8):1077–82.

    Article 

    Google Scholar 

  • Benhamou S, Janin L. Intelligence artificielle et travail [Internet]. Paris, France: France Stratégie; 2018 [cited 2023 Sep 8]. Available from: https://www.strategie.gouv.fr/publications/intelligence-artificielle-travail

  • Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769–74.

    Article 

    Google Scholar 

  • PARO Therapeutic Robot [Internet]. [cited 2023 Sep 8]. Available from: http://www.parorobots.com/

  • Artificial Intelligence and Employment [Internet]. OECD. 2021 Dec [cited 2023 Sep 8]. Available from: https://www.oecd.org/future-of-work/reports-and-data/AI-Employment-brief-2021.pdf

  • Ellahham S. Artificial Intelligence: The Future for Diabetes Care. Am J Med. 2020;133(8):895–900.

    Article 

    Google Scholar 

  • Jarrahi MH. the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Bus Inform Rev. 2019;36(4):178–87.

    Article 

    Google Scholar 

  • Chen Y, Stavropoulou C, Narasinkan R, Baker A, Scarbrough H. Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study. BMC Health Serv Res. 2021;21(1):813.

    Article 

    Google Scholar 

  • Bernier J. L’intelligence artificielle et les mondes du travail. Perspectives sociojuridiques et enjeux éthiques. Presses de l’Université Laval; 2021. p. 232.

  • IA et emploi en santé : quoi de neuf docteur ? [Internet]. Paris, France: Institut Montaigne; 2019 Jan [cited 2023 Sep 8]. Available from: https://www.institutmontaigne.org/ressources/pdfs/publications/ia-et-emploi-en-sante-quoi-de-neuf-docteur-note.pdf

  • Hamoni R, Lin O, Matthews M, Taillon PJ. Construire la future main-d’œuvre canadienne dans le domaine de l’intelligence artificielle [Internet]. Ottawa, Canada: Conseil des technologies de l’information et des communications; [cited 2023 Sep 8]. Available from: https://www.ictc-ctic.ca/wp-content/uploads/2021/03/ICTC_Report_Building_FRE.pdf

  • Dupuis M, Hesbeen W. L’éthique organisationnelle dans le secteur de la santé: Ressources et limites contextuelles des pratiques soignantes [Internet]. 1er édition. Paris: SELI ARSLAN; 2014. 182 p. Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=L%27%C3%A9thique+organisationnelle+dans+le+secteur+de+la+sant%C3%A9%3A+Ressources+et+limites+contextuelles+des+pratiques+soignantes+Poche+%E2%80%93+14+mai+2014&btnG=.

  • Décret n°2016 – 1672 du 5 décembre 2016 relatif aux actes et activités réalisés par les manipulateurs d’électroradiologie médicale [Internet]. 2016–1672 Dec 5, 2016. Available from: https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000033537927

  • Ho MT, Le NTB, Mantello P, Ho MT, Ghotbi N. Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude. Technol Soc. 2023;72:102166.

    Article 

    Google Scholar 

  • Tomašev N, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, et al. A clinically applicable approach to continuous prediction of future acute kidney injury. Nature. 2019;572(7767):116–9.

    Article 

    Google Scholar 

  • Fernandes M, Vieira SM, Leite F, Palos C, Finkelstein S, Sousa JMC. Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review. Artif Intell Med. 2020;102:101762.

    Article 

    Google Scholar 

  • Goldstein A, Shahar Y. An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data. J Biomed Inform. 2016;61:159–75.

    Article 

    Google Scholar 

  • Gray K, Slavotinek J, Dimaguila GL, Choo D. Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs. JMIR Med Educ. 2022;8(2):e35223.

    Article 

    Google Scholar 

  • Laï MC, Brian M, Mamzer MF. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. J Translational Med. 2020;18(1):14.

    Article 

    Google Scholar 

  • Teng M, Singla R, Yau O, Lamoureux D, Gupta A, Hu Z, et al. Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada. JMIR Med Educ. 2022;8(1):e33390.

    Article 

    Google Scholar 

  • Harish V, Bilimoria K, Mehta N, Morgado F, Aissiou A, Eaton S et al. Preparing Medical Students for the Impact of Artificial Intelligence on Healthcare [Internet]. Canadian Federation of Medical Students; Available from: https://www.cfms.org/files/position-papers/AGM_2020_CFMS_AI.pdf

  • Wilson R, Bennett J. RNAO-AMS_Report-Nursing_and_Compassionate_Care_in_the_Age_of_AI_Final_For_Media_Release_10.21.2020.pdf [Internet]. Associated Medical Services (AMS) Healthcare; [cited 2023 Sep 8]. Available from: https://rnao.ca/sites/rnao-ca/files/RNAO-AMS_Report-Nursing_and_Compassionate_Care_in_the_Age_of_AI_Final_For_Media_Release_10.21.2020.pdf

  • Council on Medical Education. Report 4 on Augmented Intelligence in Medical Education (Resolution 317-A-18) [Internet], American Medical Association. 2019. Report No.: CME Report 4-A-19. Available from: https://www.ama-assn.org/system/files/cme-report-4-a19-annotated.pdf

  • Reznick RK, Ken H, Tanya H, Mohsen Sheikh H. Task Force Report on Artificial Intelligence and Emerging Digital Technologies [Internet]. Royal Collee of Physicians and Surgeons of Canada; 2020 Feb [cited 2023 Sep 8]. Available from: https://www.royalcollege.ca/ca/en/health-policy/initiatives-driven-by-research/ai-task-force.html

  • Zouinar M. Évolutions de l’Intelligence Artificielle : quels enjeux pour l’activité humaine et la relation Humain–Machine au travail ? Activités [Internet]. 2020 Apr 15 [cited 2023 Sep 8];(17–1). Available from: https://journals.openedition.org/activites/4941

  • Cléret M, Le Beux P, Le Duff F. Les systèmes d’aide à la décision médicale. Les Cahiers du numérique. 2001;2(2):125–54.

    Google Scholar 

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