Tutorial 4: Ethical and Responsible Artificial Intelligence in Healthcare: Balancing Innovation, Fairness, and Trust

Speakers

  • Dr. Nabanita Choudhury (Symbiosis Artificial Intelligence Institute (SAII). Symbiosis International University, Pune, India)

 

Abstract

Artificial Intelligence is transforming the healthcare ecosystem—redefining diagnostics, decision-making, and patient care. Yet, this transformation also raises profound ethical, social, and regulatory questions. This tutorial provides an accessible and multidisciplinary introduction to the principles, challenges, and practices of Ethical and Responsible AI in Healthcare. The session will explore how fairness, transparency, privacy, accountability, and trust can be embedded throughout the AI lifecycle—from data collection to clinical deployment. Participants will gain insights into global ethical frameworks such as the WHO Ethics and Governance Guidelines, the EU AI Act, and the IEEE’s Ethically Aligned Design principles, with real-world examples illustrating both best practices and failures in clinical AI systems. Designed for educators, healthcare professionals, policy-makers, and AI practitioners alike, this tutorial requires no prior technical background. It aims to build a shared understanding of how human-centred and trustworthy AI can be designed, regulated, and implemented to promote equity, safety, and social good in medicine.

 

Target Audience

  • Faculty, researchers, healthcare professionals, policy makers, and early-career technologists interested in responsible AI.
  • No prior AI or programming knowledge required.
  • The tutorial will use real-life examples and conceptual demonstrations instead of coding.

 

Outline and Description of the Tutorial

  1. Introduction to Ethical AI and Trustworthy Principles
  2. Understanding Bias, Fairness and Data Equity in Healthcare AI
  3. Transparency and Explainability as Ethical Requirements
  4. Overview of Global Ethics Frameworks (WHO, UNESCO, EU AI Act, IEEE 7000)
  5. Case Studies and Ethical Impact Assessments
  6. Practical Steps toward Responsible AI Deployment
  7. Future Directions and Open Research Problems

 

Reading List

  1. World Health Organization. (2021). Ethics and Governance of Artificial Intelligence for Health. Geneva: WHO.
  2. Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.

 

Vertical

Healthcare and Life Sciences

 

Timeline

4 hours