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Ethics of artificial intelligence in medicine
Julian Savulescu1, Alberto Giubilini2, Robert Vandersluis2
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Singapore Medical Journal
|March 25, 2024
Summary
Artificial intelligence (AI) in medicine presents ethical challenges like trust, bias, and privacy. Ensuring ethical oversight in AI development and implementation is crucial for its beneficial use in healthcare.
Area of Science:
- Medical Ethics
- Artificial Intelligence in Healthcare
- Clinical Informatics
Background:
- The integration of artificial intelligence (AI) into medical practice introduces novel ethical considerations.
- Key issues include patient trust, accountability, potential for algorithmic discrimination, and the impact on patient autonomy.
Approach:
- This review critically assesses the primary ethical challenges associated with AI technologies in medicine.
- It examines concerns related to data privacy, algorithmic bias, and the balance of potential benefits against harms.
Key Points:
- Establishing trust in AI systems is paramount for their acceptance and effective use.
- Addressing the risk of discrimination embedded in AI algorithms is essential for equitable healthcare.
- Maintaining patient autonomy requires careful consideration of AI's role in clinical decision-making.
Conclusions:
- Artificial intelligence holds significant promise for revolutionizing healthcare delivery.
- Proactive ethical oversight throughout the AI lifecycle—from design to implementation—is imperative to ensure AI serves as a beneficial tool in clinical practice.
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