Olu Akinyede

As enterprises delegate decisions to autonomous systems, they must confront a deeper question: what does it mean to transfer authority without severing responsibility? Agentic AI challenges traditional notions of control, oversight, and accountability, forcing organisations to redefine human agency in operational terms. This panel explores the philosophical and practical dimensions of delegation, and the skills required to remain meaningfully responsible for systems that act on our behalf.

• Examining delegation without severing human responsibility.

• Redefining agency in autonomous enterprise systems.

• Building skills for accountable human oversight.

As generative AI embeds across enterprise systems, bias becomes structural: shaping decisions, communications, and customer outcomes at scale. What begins as a model limitation can quickly become a systemic risk, reinforced by data provenance, prompt design, feedback loops, and organisational incentives. This panel takes a critical look at bias as a socio-technical challenge spanning the full AI lifecycle. Moving beyond surface-level fairness claims, panellists will examine how to measure structural and emergent bias in production, define meaningful accountability, and govern generative systems that continuously adapt and influence behaviour.

• Examining bias across the AI lifecycle.

• Measuring structural and emergent bias in production.

• Embedding accountability beyond technical fixes.