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AI Ethics in Smart Healthcare

arXiv 2211.06346 ↗First posted 2 Nov 2022cs.CY cs.AI cs.LGcited by 0

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Abstract (arXiv)

This article reviews the landscape of ethical challenges of integrating artificial intelligence (AI) into smart healthcare products, including medical electronic devices. Differences between traditional ethics in the medical domain and emerging ethical challenges with AI-driven healthcare are presented, particularly as they relate to transparency, bias, privacy, safety, responsibility, justice, and autonomy. Open challenges and recommendations are outlined to enable the integration of ethical principles into the design, validation, clinical trials, deployment, monitoring, repair, and retirement of AI-based smart healthcare products.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 41 references that are in the map. First posted on arXiv 2 Nov 2022.

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References · 6

  1. 2020Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AIcited by 167
  2. 2019Principles alone cannot guarantee ethical AIcited by 135
  3. 2021Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systemscited by 6
  4. 2022Embedded Systems Education in the 2020s: Challenges, Reflections, and Future Directionscited by 4
  5. 2021Readying Medical Students for Medical AI: The Need to Embed AI Ethics Educationcited by 3
  6. 2022Ethics for Digital Medicine: A Path for Ethical Emerging Medical IoT Designcited by 2

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