Responsible Data Curation in AI Governance

Data curation lies at the heart of both the risks and opportunities presented by AI technology. This panel brings together leading experts and industry researchers to delve into the critical role of responsible data curation in AI governance. Panelists will explore the challenges, opportunities and best practices for managing data responsibly across a range of AI domains. This session aims to equip attendees with actionable strategies and a deeper understanding of how responsible data curation supports trustworthy AI development and deployment.

What you will learn:

• Explore key considerations for responsible data curation across diverse AI domains, such as computer vision, robotics, and generative AI.
• Gain insights into the state of research and cutting-edge best practices for ensuring ethical and effective data curation. Learn from using case studies and examples of successful data governance strategies implemented in AI-driven industries.
• Understand how robust data curation frameworks can reduce risks related to bias, privacy violations and data misuse while fostering innovation.