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Governing dynamics – equilibrium: AI Governance for modern risk leaders

Build practical governance structures that balance innovation, compliance, and accountable AI adoption across the enterprise.

Governing dynamics – equilibrium: AI Governance for modern risk leaders

Description

Artificial intelligence is moving from experimentation into everyday business processes, creating new governance pressures for audit, risk, InfoSec, and compliance teams. As organizations explore agentic AI, automated decision-making, and rapidly changing operating models, leaders must define oversight mechanisms that enable innovation without losing control. In this thought leadership session, we will examine how risk leaders can govern AI dynamically: aligning strategy, policy, controls, and assurance with the speed of technology change. Attendees will gain a practical view of how to identify AI-related risks, clarify ownership, strengthen cross-functional accountability, and translate governance principles into measurable action. Rather than treating AI governance as a one-time policy exercise, this webinar will show how organizations can build adaptive governance models that support responsible adoption, resilient decision-making, and proactive risk management.

About the speakers

Eldar Hasic

Elder Hasic has extensive experience in AI governance, GRC, enterprise risk management, audit and advisory services, compliance and legal, infosec, change, project and quality management and strategic oversight.

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