Everyone wants responsible AI. But what happens when even the experts can’t fully explain how artificial intelligence works, or prove it can be trusted?
In this episode of Insight Exchange, we unpack what responsible AI really means. We go beyond the buzzwords.
Join BCS’ AI Programme Lead and Chair of the AI Assurance Stakeholder Consortium, Emma McGuigan FBCS, and Martin Cooper MBCS, BCS’ Editor in Chief, as they explore:
- Why many AI systems can’t clearly explain their decisions
- How bias emerges — even when models perform ‘as designed’
- What makes reliable, safe AI different from traditional software
- The growing tension between AI capability and privacy
- What the Post Office Horizon IT scandal tells us about trustworthy AI
We also examine a critical shift: the rise of AI assurance.
As organisations move to deploy AI at scale, the question is no longer just whether we can build responsible systems — but how we prove they’re responsible in practice.
From accreditation to continuous oversight, assurance is becoming the missing link between AI ambition and real-world trust. We also explore how the AI Assurance Stakeholder Consortium, convened by the Department for Science, Innovation and Technology and led by BCS, The Chartered Institute for IT, will bring together leading voices from across the UK’s AI assurance ecosystem to support the development of a recognised AI assurance profession.
Hosted on Acast. See acast.com/privacy for more information.
31 mins
May 20 202625 mins
Apr 22 202616 mins
Mar 18 202622 mins