AI Governance: Leadership Accountability and Minimum Viable Guardrails

AI Governance & Regulation: Why Accountability Starts With Leadership (with Siyanbola “Nayis” Feyisetan)

Host Paul Bibby speaks with applied AI and digital transformation leader Siyanbola “Nayis” Feyisetan about why AI governance ...is a leadership responsibility and accountability for AI decisions cannot be outsourced to technology. They discuss how AI is becoming embedded across hiring, finance, healthcare and operations, creating legal, financial and reputational risk if controls are missing. Nayis outlines the evolving regulatory landscape across jurisdictions, highlighting the EU AI Act’s risk-based tiers, and explains that global organisations must comply with laws where they operate. She describes what good governance looks like in practice: integrated policies for data and model use, risk classification, human oversight and escalation, documentation, approvals, audit trails, and monitoring. The episode closes with a “minimum viable” governance framework and Nayis’s reflection that she would start with governance, ethics, and business value to drive measurable ROI.

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Chapters
00:00 Accountability Starts Here
01:24 Meet Nayis Feyisetan
02:30 Leadership Owns Governance
04:54 Global AI Regulation Tour
08:51 Building Governance Structure
10:45 Policies Guardrails Oversight
13:13 Documentation Audit Trails
14:53 Real World Risk Scenarios
16:58 Bias Data And Feedback
20:23 Minimum Viable Governance
25:32 Signature Question Lessons
28:32 Key Takeaways And Wrap

Disclaimer: The opinions and views shared in the Orchestrating AI Podcast are those of the individual speakers. They do not represent the views of their employers, organisations, or any affiliated bodies. The discussions in this podcast are for general information only and are not intended as professional, technical, financial, or legal advice. Listeners should always seek appropriate advice before making decisions based on the topics discussed.Show More