Responsible AI For Charities: Govern & Secure AI Webinar

AI is moving rapidly from experimentation into business-critical operations. As adoption accelerates, organisations need more than innovation ambition. They need clear governance, security controls, trusted data, and defined accountability across every stage of the AI lifecycle. This webinar explores what business and technology leaders need to know in the era of responsible AI for Charities. We will examine the UK and global AI regulatory landscape, including the ICO, the UK's approach to AI regulation, the EU AI Act, ISO/IEC 42001, and OECD AI principles. We will also address the real enterprise challenges affecting AI adoption today, including Shadow AI, ungoverned data, model risk, and stalled Proofs of Concept (PoCs). The session will then focus on how to prepare a trusted, compliant data estate, embed security controls throughout the AI lifecycle, and turn AI ambition into a practical AI governance and security strategy roadmap. Programme: 1. Welcome to the Responsible AI Era Opening remarks on why governance and security now define AI success. 2. The UK and Global AI Regulatory Landscape ICO guidance, the UK AI regulation approach, the EU AI Act, ISO/IEC 42001, and OECD principles. What businesses and technology leaders need to know. 3. The Real Challenges Enterprises Face Today Shadow AI, ungoverned data, model risk, and stalled PoCs. 4. Your Data is Your Foundation Preparing a trusted, compliant data estate for AI. 5. Securing the AI Lifecycle Embedding controls across ideation, assessment, PoC, pilot, and production. 6. From Ambition to Roadmap Building your AI governance and security strategy roadmap. 7. Q&A Key takeaways and practical next steps. Why This Matters As AI becomes embedded into operational processes, organisations must ensure that: AI systems are deployed securely, responsibly, and in line with policy. Data used by AI is managed in line with information governance, classification, and data protection requirements. Regulatory and ethical obligations are addressed by design. Risk is managed through effective controls, not discovered after incidents occur. Innovation can scale without creating compliance or cybersecurity debt. This Session Delivers Practical Guidance, Regulatory Context, And A Clear Roadmap For IT Leaders, Cybersecurity Teams, Data Leaders, Risk And Compliance Professionals, And Business Decision-Makers Looking To Govern And Secure AI With Confidence.