Orchestrating AI Podcast
AI Governance: Navigating Accountability and Regulation
In this episode of Orchestrating AI, host Paul Bibby speaks with applied AI and digital ...transformation leader Siyanbola “Nayis” Feyisetan about AI governance and regulation. Nayis argues accountability for AI outcomes ultimately sits with business leadership, supported by IT, legal, risk, compliance, and HR, and compares AI to a utility that requires clear oversight. She outlines the evolving regulatory landscape, highlighting the EU AI Act’s risk-based approach and the need for organisations operating across jurisdictions to comply with local rules. The discussion covers practical governance components such as integrated policies on data use, approved tools, risk classification, human-in-the-loop oversight, documentation, approvals, audit trails, and bias management. Nayis also recommends a minimum viable governance layer—clear usage rules, lightweight risk assessments, approval paths, staff training, and cross-functional check-ins—so AI can scale safely without stifling innovation.
Downloads
Good AI Governance - https://tinyurl.com/2pnvjhhc
AI Governance Check List - https://tinyurl.com/mvwdfhjd
00:00 Podcast Welcome
01:38 Meet Nayis
02:43 Who Owns Governance
05:08 Global AI Regulations
09:05 Building Governance Structure
10:59 Policies and Guardrails
13:27 Documentation and Audit Trails
15:07 Real World Risk Scenarios
17:12 Bias Data and Oversight
20:37 Minimum Viable Governance
25:49 Starting AI Journey Right
29:15 Wrap Up and Resources
Disclaimer - For the protection to all contributors to this podcast. Any opinions or views expressed are those of the individuals taking part, and they do not necessarily represent the views of their employers or any associated organisation. And nothing in this episode should be considered as professional, or legal, advice.Show More
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