Originally Aired - Tuesday, March 12 • 3:00 PM - 4:00 PM Eastern Time (US & Canada)
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Location: W207C
Type: Industry Solution Sessions
Session ID: 52
Title: Operationalizing Responsible AI in Healthcare: Challenges and Opportunities
Description: Artificial intelligence (AI) has the potential to transform healthcare by improving diagnosis, treatment, and prevention of diseases. However, AI also poses significant ethical, social, and legal challenges that need to be addressed before it can be widely adopted and trusted. In this speaking session, our speakers will discuss some of the key issues and best practices for applying AI responsibly in healthcare situations, such as ensuring fairness, accountability, transparency, privacy, and human oversight. Our panel will discuss how trustworthy and responsible AI networks can provide objective and transparent evaluation of AI models using community standards and best practices.
Learning Objective #1: Understand the benefits and risks of AI in healthcare
Learning Objective #2: Identify the main principles and frameworks for operationalizing responsible AI in healthcare
Learning Objective #3: Apply some practical steps of how trustworthy AI health networks can help with different aspects of AI development and implementation, such as performance, bias, usability, adoption, and impact.
Learning Objective #4: Cite examples to support the claims, such as the examples of existing frameworks and programs, the role of regulatory agencies and professional bodies, and the need for evidence-based and patient-centered solutions.
