AI Governance – how to collaborate, innovate and de-risk
As organizations steam ahead with AI innovation, the importance of good governance becomes more critical. Risks range across commercial, data protection, intellectual property, regulatory and ethical issues. Behind the scenes, many companies are currently developing their AI governance programs, and we are here to give you an insight into what that could look like for you. Join Felicity Fisher, Chris Eastham and Robert Fett from Fieldfisher's international and interdisciplinary Data and Technology team, who will help you navigate the risks, and the questions you should be asking yourself.

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Responsible AI in Recruitment: Best practices and risks in AI-driven hiring

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#Empower2026: Human Purpose Meets AI | Nonprofit Virtual AI Conference

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Collaborating for Impact: Building Capacity for Public Engagement in Health Data

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TELedvisors Network Webinar Centres of Gravity (250626)

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Jack Smith & Brian Driscoll On Weaponizing Justice | The Weekly Show with Jon Stewart

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Stephany Veuger, Northumbria University | Teaching Innovation Award Webinars

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The ERA - Discrimination

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Let the Managers Manage with Conor Shaw and Emily Kane from Bizimply

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Cambridge Power Platform User Group Spring Sessions: AI in Action: What’s Next for Power Platform?

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The Turing Lectures: The future of generative AI

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Nima 2026 Q2 forum - 23 June 2026
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[IMPACT Webinar] Unlocking the Potential of AI in Energy Transition APAC

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Designing a Customer-Centric Business Model

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The Industrial AI Revolution: Siemens Keynote at CES 2026

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New Year, New Rules: EU Digital Regulation in 2024

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Dark Patterns: Hidden Tactics & Unlawful Practices

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Making your Enterprise GenAI Ready and GenAI Enterprise Ready

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Introducing VERA: A Cited AI Assistant for Digital CMC Regulatory Guidance
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SQL Course for Beginners [Full Course]

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