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Medical AI: is trust really the issue?
1Aarhus Universitet, Aarhus, Denmark jakob-mainz@hotmail.com.
This paper examines artificial intelligence (AI) in medicine, arguing that while AI can be reliable, it may not be trustworthy. It challenges the idea that trust in AI creates moral obligations for the AI system.
Area of Science:
- Medical Ethics
- Philosophy of Artificial Intelligence
- Trust and Reliability in Healthcare
Background:
- Hatherley's argument in the Journal of Medical Ethics posits that medical AI can be reliable but not trustworthy.
- The argument suggests trust generates moral obligations for the trustee, using patient-clinician trust as an example.
Purpose of the Study:
- To critically evaluate Hatherley's claims regarding the trustworthiness of medical artificial intelligence (AI).
- To challenge the assertion that medical AI cannot be trustworthy.
- To dispute the notion that trust inherently creates moral obligations for the trustee.
Main Methods:
- Philosophical analysis of interpersonal trust accounts.
- Critique of Hatherley's argument using established philosophical frameworks.
- Examination of the relationship between trust, reliability, and moral obligations in the context of medical AI.
Main Results:
- At least one philosophical account of interagent trust suggests medical AI can be considered trustworthy.
- The trustworthiness of medical AI is less critical than its reliability.
- Trust itself does not inherently generate moral obligations for the trustee.
Conclusions:
- Hatherley's argument that medical AI cannot be trustworthy is challenged.
- The focus on AI reliability is more pertinent than its trustworthiness.
- The claim that trust creates moral obligations for the trustee is refuted.
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