This dynamic session will highlight the responsible use of artificial intelligence (AI) in healthcare and recent initiatives undertaken by the Coalition for Health AI aligned with its mission to advance the responsible development, deployment and oversight of AI by fostering collaboration across the health sector.
The second half of the session will feature a panel of experts in audiology, data science, policy, and security, who will discuss applications for AI in audiologic diagnostics and rehabilitation, the benefits and limitations of such applications, and practical and ethical considerations.
Attendees will be able to:
- Describe the Coalition for Health AI’s responsible AI framework and its core principles
- Describe how predictive AI models can forecast patient risk trajectories
- Differentiate between generative and prescriptive AI approaches that enhance patient engagement and care efficiency
- Critically appraise the role of agentic AI systems (autonomous, goal-directed agents) in audiology workflows, including ethical, safety, and governance considerations
- Describe how CHAI’s initiatives and policy work are shaping responsible AI adoption
- List security and privacy risks associated with AI in healthcare and describe mitigation strategies
