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The Road to Accountable AI

Kevin Werbach
Artificial Intelligence
AI Governance
Generative AI
AI Ethics
Responsible AI
Data Privacy
EU AI Act
Accountable AI
Machine Learning
AI Regulation
AI Principles
AI Safety
Trustworthy AI
Data Science
Sony
Bias In AI
AI Companions
Deepfakes
AI Accountability
Technology Policy

Artificial intelligence is changing business, and the world. How can you navigate through the hype to understand AI's true potential, and the ways it can be implemented effectively, responsibly, and safely? Wharton Professor and Chair of Legal Studies and Business Ethics Kevin Werbach has analyzed emerging technologies for thirty years, and created one of the first business school course on legal ... more

PublishesWeeklyEpisodes70Founded2 years ago
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Artwork for The Road to Accountable AI

Latest Episodes

Conversational AI is increasingly being used as a source of emotional support, even though general-purpose chatbots were never designed for that purpose. Concerns about AI's mental health impact, up to and including suicides, have moved onto the publ... more

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Holistic AI was one of the first companies built specifically to govern, audit, and red team AI systems. As co-founder and co-CEO Emre Kazim explains, its original thesis was that AI governance would mirror data governance: a compliance-driven regime... more

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Kevin Werbach speaks with long-time responsible AI leader Rumman Chowdhury the current environment, in which substantive standards and oversight efforts for AI are taking shape amid a larger anti-regulation wave. Chowdhury distinguishes sharply betwe... more

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Var Shankar makes the case that most AI governance guidance is built for large, sophisticated, multifunctional global enterprises — and that this leaves out the roughly half of American workers employed at organizations with fewer than 500 people. Th... more

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Recent Guests

Emre Kazim
Co-founder and CEO of Holistic AI
Holistic AI
Episode: Emre Kazim (Holistic AI): Why AI Governance is Life Cybersecurity
Rumman Chowdhury
CEO and founder-focused leader in responsible AI, co-founder of Humane Intelligence
Humane Intelligence (Public Benefit Corporation); former Director of ML Ethics at Twitter
Episode: Rumman Chowdhury (Humane Intelligence): The Need for Discernment
Var Shankar
Executive Director of the Council on AI Governance; former leader at Responsible AI Institute and Enzai; AI governance expert
Council on AI Governance
Episode: Var Shankar: AI Governance for Smaller Organizations
Katie Fowler
Director of Responsible Business at the Thomson Reuters Foundation
Thomson Reuters Foundation
Episode: Katie Fowler (Thomson Reuters Foundation): How 3,000 Companies Approach AI Governance
Henry Ajder
expert on deepfakes and synthetic media
Latent Space Advisory
Episode: Henry Ajder, Latent Space Advisory: Deepfakes and the Crisis of Digital Trust
Phil Dawson
Head of AI Policy and Partnerships at Armilla AI
Armilla AI
Episode: Phil Dawson, Armilla AI: Insurance for AI Risks
Walter Haydock
Founder of StackAware, AI risk management and governance expert
StackAware
Episode: Walter Haydock, StackAware: In Search Of AI Governance Certification
Richa Kaul
CEO and founder of Compliance with a Y, an AI-first governance, risk and compliance platform for enterprises
Compliance with a Y
Episode: Richa Kaul, Complyance: Asking the Right Questions
Michael Horowitz
Political science professor at University of Pennsylvania, director of Perry World House, former senior official at the DoD
University of Pennsylvania
Episode: Michael Horowitz, UPenn: Governing AI That's Designed to Kill

Reviews

5.0 out of 5 stars from 34 ratings
  • Enjoy the learning

    Form this podcast, I have gained a nuanced understanding of opportunities and ethical considerations when companies implement AI.

    Apple Podcasts
    5
    Kevin Yan8
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Strong emphasis on accountability and real-world implications.
Conversations can be dense but are highly informative for decision-makers.
Showcases practical governance approaches, not just theory.
Industry-leading guests provide diverse perspectives on AI governance and ethics.
Thoughtful, policy-forward discussions that cut through hype.

Chart Rankings

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Apple Podcasts
#214
Canada/Technology

Talking Points

Recent interactions between the hosts and their guests.

Rumman Chowdhury (Humane Intelligence): The Need for Discernment
Q: What are the practical steps for enterprises to balance governance with the need to deploy AI at scale?
Adopt modular tooling, focus on context-rich evaluation, and build governance that scales with hundreds of AI systems, while ensuring liability and third-party procurement considerations are addressed.
Rumman Chowdhury (Humane Intelligence): The Need for Discernment
Q: Just in general, how do you see the environment that we're in right now in terms AI regulation and accountability?
The environment is a push-pull with sensible regulations and bodies being formed, plus ongoing debates about how to implement audits and standards in a scalable way.
Katie Fowler (Thomson Reuters Foundation): How 3,000 Companies Approach AI Governance
Q: What role do investors play in incentivizing responsible AI practice based on your findings?
Investors are a crucial signaling and potential pressure point; transparency about governance acts as a proxy for risk management. The data could feed into materiality assessments or responsible AI indices, enabling investors to reward companies that demonstrate robust governance and real workforce preparedness.
Katie Fowler (Thomson Reuters Foundation): How 3,000 Companies Approach AI Governance
Q: How did you ensure the data's reliability when using AI to process disclosures?
We used publicly available disclosures, applied precise prompts to identify relevant information, and most importantly maintained heavy human oversight to link outputs back to exact source text and guard against misinterpretation. This combination allowed scale while preserving traceability and accuracy.
Katie Fowler (Thomson Reuters Foundation): How 3,000 Companies Approach AI Governance
Q: The governance data comes from a large, publicly disclosed dataset; what are the top big takeaways about how companies are actually approaching AI governance?
There is a governance gap between what companies say in strategy and what they implement operationally. Many have AI strategies but very few have formal governance frameworks, and there is widespread reliance on outside regulatory models like the EU AI Act to guide internal practices. There is also a regional variation, with Europe showing more safeguards for workers and more formal reporting channels than other regions.

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Frequently Asked Questions About The Road to Accountable AI

What is The Road to Accountable AI about and what kind of topics does it cover?

This program centers on building accountable AI through governance, ethics, and practical frameworks used by leading organizations. Episodes commonly feature policymakers, CTOs, privacy and governance executives, and researchers who discuss AI risk, accountability, and the challenges of regulating rapidly evolving technology. A standout pattern is deep dives into responsible AI frameworks, real-world governance practices, and the balance between innovation and safety, with guests offering concrete approaches to trustworthy AI deployment. Notable themes include anti-abuse measures, data governance, regulatory considerations across regions, and the role of culture and organizational dynamics in ethical AI adoption.

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Which podcasts are similar to The Road to Accountable AI?

These podcasts share a similar audience with The Road to Accountable AI:

1. All-In with Chamath, Jason, Sacks & Friedberg
2. The AI Daily Brief: Artificial Intelligence News and Analysis
3. Interesting Times with Ross Douthat
4. Unsupervised Learning with Jacob Effron
5. Hard Fork

How many episodes of The Road to Accountable AI are there?

The Road to Accountable AI launched 2 years ago and published 70 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The Road to Accountable AI?

Recent guests on The Road to Accountable AI include:

1. Emre Kazim
2. Rumman Chowdhury
3. Var Shankar
4. Katie Fowler
5. Henry Ajder
6. Phil Dawson
7. Walter Haydock
8. Richa Kaul

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