Artificial intelligence is transforming the way organisations operate, make decisions and manage risk. As AI becomes embedded in critical business processes, traditional assurance approaches focused on cybersecurity, compliance and control effectiveness are being challenged by a new set of concerns, including transparency, accountability, bias, explainability and ethical decision-making.
This panel will explore how assurance must evolve to address the opportunities and risks presented by AI. While organisations have long relied on established frameworks to assess security, resilience and compliance, AI systems introduce complexities that extend beyond technical controls to questions of governance, trust and responsible use. As regulators, boards and stakeholders demand greater oversight of AI-enabled decisions, assurance professionals are increasingly being called upon to evaluate not only whether systems are secure and reliable, but also whether they operate fairly, transparently and in alignment with organisational values.
Drawing on expertise across cybersecurity, technology risk, governance, assurance and AI oversight, the discussion will examine emerging approaches to AI assurance, including governance frameworks, continuous assurance, human-in-the-loop oversight, model risk management and ethical accountability. The panel will consider how organisations can balance innovation with responsible stewardship, while maintaining stakeholder confidence in an increasingly automated and data-driven environment.
Attendees will gain practical insights into the evolving assurance landscape and the skills, frameworks and governance practices needed to provide confidence in AI-enabled organisations. As businesses move from managing cyber risk to governing intelligent systems, assurance will play a critical role in building trust, strengthening accountability and ensuring that technological advancement is matched by responsible and ethical oversight.