Implications with Professor Roberts

Implications with Professor Roberts is a long-form podcast about policy, governance, healthcare, technology, and organizational change. Each episode asks: What happened? Why did it happen? Why does it matter? What are the implications? What questions remain? The goal is not to tell listeners what to think, but to help them understand how systems work and what follows from the choices people and institutions make. Hosted by Professor Darryl Roberts, whose career spans academia, government, healthcare, and industry.

Implications with Professor Roberts is a general podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Implications with Professor Roberts, a general show with 0 episodes published.

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  Episode #1

  Pilot Episode (Audio): Why Governance Does Not Automatically Change Behavior

  Jun 9, 202642 minS1

  <p>In this pilot episode of Implications with Professor Roberts, Darryl Roberts introduces the podcast and its central concern: what happens after institutions act. The episode examines public policy, health policy, AI governance, and organizational change through a simple but consequential problem: governance does not change outcomes merely by existing.</p><p>Using healthcare AI governance and the Layered Institutional Transition Model, Professor Roberts explains why policies, committees, frameworks, and risk processes must pass through people, workflows, incentives, resistance, and institutional culture before they change behavior. The episode asks what leaders miss when they mistake adoption for implementation—and why AI...

  ListenShow Notes
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  Episode #1

  Pilot Episode: Why Governance Does Not Automatically Change Behavior

  Jun 8, 202642 minS1

  <p>In this pilot episode of Implications with Professor Roberts, Darryl Roberts introduces the podcast and its central concern: what happens after institutions act. The episode examines public policy, health policy, AI governance, and organizational change through a simple but consequential problem: governance does not change outcomes merely by existing.</p><p><br></p><p>Using healthcare AI governance and the Layered Institutional Transition Model, Professor Roberts explains why policies, committees, frameworks, and risk processes must pass through people, workflows, incentives, resistance, and institutional culture before they change behavior. The episode asks what leaders miss when they mistake adoption for...

  ListenShow Notes

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