This session is part of techUK's "Scaling the Responsible Adoption of Agentic AI" workshop series. 

As agentic AI systems become more capable and widespread, they challenge many of the ethical, governance, and accountability frameworks that have underpinned responsible AI to date. Principles such as fairness, transparency, and human oversight remain critical, but their application becomes more complex when systems act independently, at speed, and across organisational boundaries. 

This session explores whether existing responsible AI approaches are sufficient for agentic systems, and what additional governance, security, and oversight mechanisms may be needed to support their safe and trustworthy deployment at scale. 

In this session, our discussion will likely focus on: 

  • Ethical principles and responsible use: How do established ethical AI principles such as fairness, transparency, explainability, accountability, and human oversight apply to agentic AI systems? Are these principles sufficient when systems can act autonomously and coordinate with other agents, or do agentic systems raise new ethical considerations that require different approaches 
  • Agency and decision-making: What risks and concerns arise as decision-making authority is delegated to autonomous agents? How should organisations define appropriate limits on agent autonomy, particularly in high-risk, high-impact, or safety-critical contexts? 
  • Emerging governance challenges: What governance frameworks are needed to support responsible deployment of agentic AI in practice? This may include issues such as role clarity and accountability, approval and escalation mechanisms, auditability and logging, model and agent lifecycle management, and internal assurance processes. What conversations about responsible agentic AI deployment need to happen now to avoid problems later?  
  • Cybersecurity and system integrity: What new cyber security and resilience risks emerge when deploying agentic AI systems — including risks of manipulation, prompt injection, agent-to-agent exploitation, or unintended actions at scale? How should security, monitoring, and incident response be integrated into governance models for autonomous systems? 
  • Regulatory frameworks: How do current automated decision making (ADM) frameworks and regulations apply to agentic AI? How do data protection principles apply when autonomous agents are making decisions and processing data independently? Are there appropriate guardrails and what does responsible deployment look like in practice? 
  • Management and oversight: What does effective oversight look like when agents operate at speed and scale beyond human capacity to monitor every decision? How should accountability be assigned when agents act autonomously, collaborate with other systems, or operate across organisational and technical boundaries? 

About the series 

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Scaling responsible adoption of agentic AI


To get more involved, please reach out to Kir and Usman:

Kir Nuthi

Kir Nuthi

Head of AI and Data, techUK

Usman Ikhlaq

Usman Ikhlaq

Programme Manager - Artificial Intelligence, techUK



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Scaling responsible adoption of agentic AI

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Contact the team

Kir Nuthi

Kir Nuthi

Head of AI and Data, techUK

Usman Ikhlaq

Usman Ikhlaq

Programme Manager - Artificial Intelligence, techUK

Sue Daley OBE

Sue Daley OBE

Director, Technology and Innovation

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