2026 Schedule

Artificial Intelligence (AI) is transforming every sector—from healthcare to finance to government—but its rapid adoption brings complex ethical questions and governance challenges. Who is accountable when AI makes a decision? How do we ensure fairness, transparency, and privacy while still fostering innovation?

This session explores the ethical considerations that shape responsible AI use and the governance frameworks emerging to guide organizations. We will discuss global and industry standards, practical approaches to risk management, and the role of leadership in building trust in AI systems. Attendees will gain insights into balancing innovation with accountability, understanding regulatory landscapes, and implementing governance models that prioritize human values.

Takeaway

By the end of the session, participants will walk away equipped with practical strategies to embed ethical principles into AI initiatives and a deeper understanding of how robust governance frameworks safeguard organizations from risk while fostering public trust, accountability, and societal well-being.

Key takeaways include:

How to identify and address ethical risks in AI systems

Practical steps for embedding fairness, transparency, and accountability

An overview of global and industry governance frameworks shaping responsible AI

Strategies for balancing innovation with compliance and societal values

Leadership's role in building trust and guiding responsible AI adoption