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.
practices for healthcare policy makers, educators and clinicians.
| Original language | English (Ireland) |
|---|---|
| Number of pages | 13 |
| Publication status | Submitted - 2025 |
| Event | ACML 2025 - Taipei, Taiwan, Province of China Duration: 9 Dec 2025 → 12 Dec 2025 https://workshop2025.reliable-ai.org |
Conference
| Conference | ACML 2025 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 9/12/25 → 12/12/25 |
| Internet address |
Keywords
- Artificial intelligence
- Safety
- Education
- Healthcare
- Reliable AI
- [Insight Centre for Data Analytics]