A Global Human Rights Approach to Medical Artificial Intelligence
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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A Global Human Rights Approach to Medical Artificial Intelligence. / Lebret, Audrey.
AI in eHealth: Human Autonomy, Data Governance and Privacy in Healthcare. ed. / Marcelo Corrales; Michael Lowery Wilson; Mark Fenwick; Nikolaus Forgó; Till Bärnighausen. Cambridge University Press, 2022. p. 277 - 308 (Cambridge Bioethics and Law ).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - A Global Human Rights Approach to Medical Artificial Intelligence
AU - Lebret, Audrey
PY - 2022
Y1 - 2022
N2 - The use and development of algorithms in health care, including machine learning, contributes to the discovery of better treatments for patients and offers promising perspectives in the fight against cancer and other diseases. Yet, algorithms are not a neutral health product since they are programmed by humans, with the risk of propagating human rights infringements. In the medical area, human rights impact assessments need to be conducted for applications involving AI. Apart from offering a consistent and transversal substantive approach to AI, human rights law, and in particular the UN Guiding Principles on Business and Human Rights, would allow the targeting of all stakeholders, including the corporations developing health care algorithms. Such an approach would establish a chain of duties and responsibilities bringing more transparency and consistency in the overall process of developing AI and its later uses. Although this approach would not solve all AI challenges, it would offer a framework for discussion with all relevant actors, including vulnerable populations. An increase in human rights education of medical doctors and data scientists, and further collaboration at the initial stages of algorithm development would greatly contribute to the creation of a human rights culture in the techno-science space.
AB - The use and development of algorithms in health care, including machine learning, contributes to the discovery of better treatments for patients and offers promising perspectives in the fight against cancer and other diseases. Yet, algorithms are not a neutral health product since they are programmed by humans, with the risk of propagating human rights infringements. In the medical area, human rights impact assessments need to be conducted for applications involving AI. Apart from offering a consistent and transversal substantive approach to AI, human rights law, and in particular the UN Guiding Principles on Business and Human Rights, would allow the targeting of all stakeholders, including the corporations developing health care algorithms. Such an approach would establish a chain of duties and responsibilities bringing more transparency and consistency in the overall process of developing AI and its later uses. Although this approach would not solve all AI challenges, it would offer a framework for discussion with all relevant actors, including vulnerable populations. An increase in human rights education of medical doctors and data scientists, and further collaboration at the initial stages of algorithm development would greatly contribute to the creation of a human rights culture in the techno-science space.
U2 - 10.1017/9781108921923.015
DO - 10.1017/9781108921923.015
M3 - Book chapter
SN - 9781108830966
T3 - Cambridge Bioethics and Law
SP - 277
EP - 308
BT - AI in eHealth
A2 - Corrales, Marcelo
A2 - Lowery Wilson, Michael
A2 - Fenwick, Mark
A2 - Forgó, Nikolaus
A2 - Bärnighausen, Till
PB - Cambridge University Press
ER -
ID: 308752818