Mitigating Risks and Capturing Opportunities with AI

Using the NIST Risk Management Framework and the EU AI Act as unifying frameworks, this talk illuminates the interconnected nature of AI, data, quality, and organizational processes and what it reveals about identifying and managing AI risks. We’ll discuss how principles of quality management can be applied to AI risk management, emphasizing continuous improvement and evidence-based decision making. By fostering a culture of responsible AI use, organizations can comply with regulations while aligning AI initiatives with their values and ethical standards. Learn practical strategies for implementing a comprehensive AI risk management program that enables innovation while minimizing potential negative impacts.

Takeaways
• Understand risk and risk-based thinking in the context of AI and emerging technologies
• Learn how the EU AI Act can help you anticipate potential areas of risk and opportunity
• Identify risk categories that are most critical for your organization
• Learn how you and your teams can get started with AI Risk Management

Quality 4.0 (Track 2)

Speakers