The Monopoly Report

Episode 66: AI Governance is NOT optional

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AI ethicist and governance pro Shoshana Rosenberg joins Alan Chapell to discuss how to build a framework for addressing the legal and regulatory risks involving AI. Given all the new AI and profiling rules flowing down into the ads space in 2026, Shoshana is exactly the person the ads space should be listening to right now.

Pre-order Shoshana’s book “Practical AI Governance” here -

www.practicalaigovernance.com

Check out the Chapell Regulatory Insider here - https://chapellreport.substack.com/ 


Takeaways

  • AI governance is less about compliance checklists and more about strategic oversight that prevents unseen liability.
  • Digital agency means giving individuals context and control over how systems influence them.
  • Post hoc explainability is insufficient because inference-driven systems are fundamentally probabilistic.
  • Privacy Enhancing Technologies (PETs) can undermine marketplace trust when platforms utilizing PETs aren’t transparent about how they work and don’t allow advertisers to audit them. 
  • Government procurement standards may drive AI accountability faster than direct regulation.
  • Building on foundational AI models requires documenting what you add and controlling what you can evidence.
  • The PRISM framework pushes teams beyond compliance toward structured ethical practice. Too many in the ad space are ignoring data and AI governance to their detriment.

    • Chapters

    00:00 Introduction and defining AI governance

     01:09 Why AI governance is about strategy, not compliance

     02:41 Shoshana’s path from engineer and Navy JAG to AI governance

     05:22 Digital agency as a human right

     09:13 What explainability should look like in advertising

     11:23 The complexity of the ad tech ecosystem

     13:25 Gaps in global AI regulation

     17:06 Procurement and government contracting as enforcement levers

     20:49 The tension between PETs and transparency

     28:02 Agentic AI and worsening accountability gaps

     29:30 Explainability by design by 2029

     31:42 Practical guidance for little tech building with AI

     35:11 The PRISM framework explained

     38:43 Upcoming book and where to find Shoshana

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