Claire Archibald
1 Series one
AI governance gone wild: Lessons from mismanagement
<span data-contrast="auto">Whilst many trusts instinctively reach for policies as their first line of defence in governance, this session explores how over-prescriptive, rule-based approaches may fail for risk-aware innovation like AI. </span><span data-contrast="auto">Through a compelling pre-mortem scenario, you'll be challenged to think critically about intelligent AI adoption, emphasising the necessity of building trust and engaging stakeholders from the start. Nick and Claire will guide you through six steps towards effective AI governance to help your trust flourish instead of flounder.</span><span data-ccp-props="{}"> </span>
1 Workshop series two
Mind the gap: Vendor due diligence and reasonable assurance in a complex digital world
From data protection to the DfE’s generative AI product safety standards, expectations on trusts when procuring digital tools are increasingly complex and consequential. Yet many still lack clear frameworks to assess vendors and scrutinise claims. This session brings together an edtech provider, a trust with a robust procurement approach, and the ICO to explore how to procure with confidence, protect communities, and turn due diligence into strategic advantage.
1 Workshops series one
AI Governance: From postmortem to practice - three things every governance professional should lead on now
Today we are asking what we do to shift from theory to practice, particularly in light of policy changes and the advent of AI. In this interactive session, we revisit the cautionary tale of Mackenzie Education Trust and go further: translating the lessons into three concrete actions every governance professional should be taking right now. Because an AI policy alone is not enough - effective AI governance demands culture, process, and people. Governance leads will leave this session empowered to show the way.