# AI Ethics in Smart Healthcare

arXiv: https://arxiv.org/abs/2211.06346 · HTML: https://mlsanity.com/paper/2211.06346/

## 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.

## Builds on (most cited first, 6 of 6)

- [Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI](https://mlsanity.com/paper/2010.07487/) (2020)
- [Principles alone cannot guarantee ethical AI](https://mlsanity.com/paper/1906.06668/) (2019)
- [Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems](https://mlsanity.com/paper/2103.09051/) (2021)
- [Embedded Systems Education in the 2020s: Challenges, Reflections, and Future Directions](https://mlsanity.com/paper/2206.03263/) (2022)
- [Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education](https://mlsanity.com/paper/2109.02866/) (2021)
- [Ethics for Digital Medicine: A Path for Ethical Emerging Medical IoT Design](https://mlsanity.com/paper/2210.12007/) (2022)

## 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.