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AI Safety Workshop: Interdisciplinary Research & Governance

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About this event

What to expect

The Northeast of England is emerging as a critical AI innovation hub, and with rapid technological advancement comes the urgent need to ensure AI systems are deployed safely, responsibly, and with public value at their core. This full-day interdisciplinary workshop, hosted by the Centre for AI Safety at Newcastle University, brings together researchers, practitioners, and thought leaders to explore the complex challenges of AI safety across technical, social, and governance dimensions.

Why Attend

This event positions the Northeast as a living laboratory for AI safety research, where theoretical frameworks meet real-world deployment scenarios. As AI adoption accelerates across healthcare, manufacturing, public services, and infrastructure in the region, the workshop addresses the critical gap between innovation speed and safety assurance. You'll engage with interdisciplinary perspectives that bridge computer science, engineering, social science, law, philosophy, and business—creating opportunities for collaboration that few other events offer.

What to Expect

The workshop prioritises meaningful dialogue over presentations, with short position talks designed to surface emerging research, practical deployment challenges, and conceptual frameworks. Sessions will explore:

  • Technical robustness and reliability of AI systems in production environments
  • Alignment challenges ensuring AI systems behave as intended and serve human values
  • Governance frameworks for accountability, transparency, and regulatory compliance
  • Societal impact assessment examining fairness, bias, and public trust
  • Real-world deployment contexts from regional industry and public sector implementations

The format encourages cross-disciplinary exchange, helping participants identify shared research questions and forge collaborative partnerships that span technical and non-technical domains.

Who Should Attend

This workshop welcomes:

  • Academic researchers at all career stages working on AI safety, ethics, or governance
  • Doctoral candidates exploring technical or social dimensions of responsible AI
  • Industry practitioners deploying AI systems in regulated or safety-critical environments
  • Policy professionals shaping AI governance frameworks
  • Anyone committed to ensuring AI development prioritises safety alongside inno

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