Abstract
Safety is an integral part of healthcare professionalism, and with new technological developments, such as Artificial Intelligence (AI), there is an ongoing need to develop guardrails for healthcare education. The landscape of AI safety frameworks for healthcare education is evolving, with significant development in regulatory compliance, ethical governance, and practical implementation approaches. This paper addresses the need for building a SAFETY-AI framework for healthcare education and proposes a solution towards it. It also provides subjective insights regarding trustworthiness, reliability and the existing concepts of safety in healthcare setups. This work stands as a roadmap for safety in AI practices for healthcare policy makers, educators and clinicians.
| Original language | English |
|---|---|
| Journal | Proceedings of Machine Learning Research |
| Volume | 310 |
| Publication status | Published - 2025 |
| Event | Reliable and Trustworthy Artificial Intelligence Workshop at 17th Asian Conference on Machine Learning, ACML 2025 - Taipei , Taiwan, Province of China Duration: 12 Dec 2025 → 12 Dec 2025 |
Keywords
- Artificial intelligence
- Education
- Healthcare
- Reliable AI
- Safety
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