The Evolution of Autonomy: AI Governance Redefined
Governance
As AI evolves from static analytical tools to autonomous agents, the governance landscape is shifting beneath our feet. This session tracks the journey from managing deterministic risk in traditional models, through the probabilistic unpredictability of generative AI, to the delegated authority of agentic AI. We will explore the critical transition from "human-in-the-loop" oversight to "human-on-the-loop" observability. Attendees will gain insight into navigating new frontiers, ensuring that as agents gain the power to act, organizations maintain the legal structure to govern them.
Time & Place
Thu, Nov 26
14:30 - 14:45
Mövenpick Amsterdam City Centre
Zurich I+II
Limited to 180 participants.
Meet Your Intructors
Martin Woodward
Global Responsible AI Officer, Randstad
Martin Woodward is Director Global Legal and Global Responsible AI Officer at Randstad, where he leads the design and implementation of the company’s Responsible AI program while overseeing global tech, procurement, and IT contracting. A seasoned in-house attorney and AI law leader, Martin works at the intersection of law, technology, and digital innovation, advising on large-scale IT projects, data protection, and AI governance. He is admitted to the Dutch Bar, chairs the NGB digitisation working group, and is an active contributor to leading AI and IT law associations.
What To Expect
Who Is This For?
CIOs & CTOs
Enterprise Architects
AI Transformation Leads
Operations Executives
Governance & Risk Leaders
Pre-Requisites
No Prerequisits
What You'll Learn & Do?
How AI governance evolves in autonomous systems
From deterministic models to agentic decision systems
Human-in-the-loop vs human-on-the-loop governance models
Designing legal structures for autonomous AI agents
Managing accountability when AI agents act independently
Agenda & Activities
Agenda for this session
10 min presentation
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