In the evolving landscape of AI, assessing and managing AI risks is often critical for organizations to harness their potential while enabling compliance, security, and responsible use. This webinar will discuss various approaches for tiering AI risks, with examples from two very different industries: healthcare and retail.
Healthcare, with its stringent regulatory requirements and sensitivity around personal health data, faces unique challenges in balancing AI innovation with patient privacy and safety. In contrast, the retail industry grapples with managing consumer data, enabling fairness in AI-driven recommendations, and maintaining trust in digital interactions. By exploring the specific risks associated with AI use in these sectors, this session highlights mechanisms and taxonomies that can be used to rank risk across different types of organizations.
Key Takeaways:
- Understanding foundational risk tiering concepts
- Methodology for triaging AI use cases in both regulated and non-regulated industries
- The importance of a risk taxonomy in evaluating AI related risk
- The role of risk tiering within a broader AI Risk Management / AI Governance program
Save your spot now to learn about risk tiering for AI.
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