The ethics of Artificial Intelligence in Medicine (AIM) include questions of privacy, safety, and authority. In fact, the ownership of medical data and safeguarding patients’ identities is only one part of the puzzle. Additional challenges like preventing biases from entering diagnosis or alerting patients to the use of AI—and receiving consent—are crucial hurdles to overcome with the adoption of AIM.

In this third episode, Dr. Niklas Lidströmer, co-editor of Artificial Intelligence in Medicine, tackles the complexities of ethics in AIM. He first discusses issues of safety and privacy when handling sensitive medical data, highlighting solutions like encryption, decentralized storage, and sharing algorithms rather than raw data. Next, Niklas addresses how bias and prejudice affect AIM, and the importance of recognizing how this can impact treatment. Last, he digs into transparency practices in AI decision-making, and the through line in data protection between AIM and librarianship.

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