{"title":"[The ethics of IA in medicine must be based on the practical ethics of the healthcare relationship].","authors":"Joël Colloc","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. Artificial intelligence (AI) offers more and more applications on the Internet, smartphones, computers, telemedicine. AI is growing rapidly in health. Transdisciplinary, AI must respect software engineering (reliability, robustness, security), knowledge obsolescence, law, ethics because a wide variety of algorithms, more or less opaque, process personal data help clinical decision. Hospital or city doctors and caregivers question the benefits/risks/costs of AI for the patient, the care relationship, deontology and medical ethics. Drawing on 30 years of experience in AI and medical ethics, the author proposes a first indicator of the ethical risks of AI (axis 1) evaluated by the surface of a radar diagram defined on the other 6 axes: Semantics, Opacity and acceptability, Complexity and autonomy, Target population, Actors (roles and motivations). Highly autonomous strong AI carries the most ethic risks.</p>","PeriodicalId":94123,"journal":{"name":"La Revue du praticien","volume":"74 5","pages":"542-548"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"La Revue du praticien","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. Artificial intelligence (AI) offers more and more applications on the Internet, smartphones, computers, telemedicine. AI is growing rapidly in health. Transdisciplinary, AI must respect software engineering (reliability, robustness, security), knowledge obsolescence, law, ethics because a wide variety of algorithms, more or less opaque, process personal data help clinical decision. Hospital or city doctors and caregivers question the benefits/risks/costs of AI for the patient, the care relationship, deontology and medical ethics. Drawing on 30 years of experience in AI and medical ethics, the author proposes a first indicator of the ethical risks of AI (axis 1) evaluated by the surface of a radar diagram defined on the other 6 axes: Semantics, Opacity and acceptability, Complexity and autonomy, Target population, Actors (roles and motivations). Highly autonomous strong AI carries the most ethic risks.