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PODCAST

The Road to Accountable AI

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 and ethical considerations of AI in 2016. He interviews the experts and executives building accountable

technology

All Episodes

38:45

Medha Bankhwal and Michael Chui: Implementing AI Trust

The Road to Accountable AI ·

2025/04/10

Kevin Werbach speaks with Medha Bankhwal and Michael Chui from QuantumBlack, the AI division of the global consulting firm McKinsey. They discuss how McKinsey's AI work has evolved from strategy consulting to hands-on implementation, with AI trust now embedded throughout their client engagements. Chui highlights what makes the current AI moment transformative, while Bankwhal shares insights from McKinsey's recent AI survey of over 760 organizations across 38 countries. As they explain, trust

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38:24

Eric Bradlow: AI Goes to Business School

The Road to Accountable AI ·

2025/04/03

Kevin Werbach speaks with Eric Bradlow, Vice Dean of AI & Analytics at Wharton. Bradlow highlights the transformative impacts of AI from his perspective as an applied statistician and quantitative marketing expert. He describes the distinctive approach of Wharton's analytics program, and its recent evolution with the rise of AI. The conversation highlights the significance of legal and ethical responsibility within the AI field, and the genesis of the new Wharton Accountable AI Lab. Werbach and

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35:22

Wendy Gonzalez: Managing the Humans in the AI Loop

The Road to Accountable AI ·

2024/12/12

This week, Kevin Werbach is joined by Wendy Gonzalez of Sama, to discuss the intersection of human judgment and artificial intelligence. Sama provides data annotation, testing, model fine-tuning, and related services for computer vision and generative AI. Kevin and Wendy review Sama's history and evolution, and then consider the challenges of maintaining reliability in AI models through validation and human-centric feedback. Wendy addresses concerns about the ethics of employing workers from the

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34:33

Jessica Lennard: AI Regulation as Part of a Growth...

The Road to Accountable AI ·

2024/12/05

The UK is in a unique position in the global AI landscape. It is home to important AI development labs and corporate AI adopters, but its regulatory regime is distinct from both the US and the European Union. In this episode, Kevin Werbach sits down with Jessica Leonard, the Chief Strategy and External Affairs Officer at the UK's Competition and Markets Authority (CMA). Jessica discusses the CMA's role in shaping AI policy against the backdrop of a shifting political and economic landscape, and how

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27:08

Tim O'Reilly: The Values of AI Disclosure

The Road to Accountable AI ·

2024/11/21

In this episode, Kevin speaks with with the influential tech thinker Tim O’Reilly, founder and CEO of O’Reilly Media and popularizer of terms such as open source and Web 2.0. O'Reilly, who co-leads the AI Disclosures Project at the Social Science Research Council, offers an insightful and historically-informed take on AI governance. Tim and Kevin first explore the evolution of AI, tracing its roots from early computing innovations like ENIAC to its current transformative role Tim notes the

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35:26

Alice Xiang: Connecting Research and Practice for...

The Road to Accountable AI ·

2024/11/14

Join Professor Werbach in his conversation with Alice Xiang, Global Head of AI Ethics at Sony and Lead Research Scientist at Sony AI. With both a research and corporate background, Alice provides an inside look at how her team integrates AI ethics across Sony's diverse business units. She explains how the evolving landscape of AI ethics is both a challenge and an opportunity for organizations to reposition themselves as the world embraces AI. Alice discusses fairness, bias, and incorporating these

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38:05

Krishna Gade: Observing AI Explainability...and...

The Road to Accountable AI ·

2024/11/07

Kevin Werbach speaks with Krishna Gade, founder and CEO of Fiddler AI, on the the state of explainability for AI models. One of the big challenges of contemporary AI is understanding just why a system generated a certain output. Fiddler is one of the startups offering tools that help developers and deployers of AI understand what exactly is going on. In the conversation, Kevin and Krishna explore the importance of explainability in building trust with consumers, companies, and developers, and then

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36:37

Angela Zhang: What’s Really Happening with AI (and AI...

The Road to Accountable AI ·

2024/10/31

This week, Professor Werbach is joined by USC Law School professor Angela Zhang, an expert on China's approach to the technology sector. China is both one of the world's largest markets and home to some of the world's leading tech firms, as well as an active ecosystem of AI developers. Yet its relationship to the United States has become increasingly tense. Many in the West see a battle between the US and China to dominate AI, with significant geopolitical implications. In the episodoe, Zhang

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35:09

Shae Brown: AI Auditing Gets Real

The Road to Accountable AI ·

2024/10/24

Professor Werbach speaks with Shea Brown, founder of AI auditing firm BABL AI. Brown discusses how his work as an astrophysicist led him to and machine learning, and then to the challenge of evaluating AI systems. He explains the skills needed for effective AI auditing and what makes a robust AI audit. Kevin and Shae talk about the growing landscape of AI auditing services and the strategic role of specialized firms like BABL AI. They examine the evolving standards and regulations surrounding AI

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39:10

Kevin Bankston: The Value of Open AI Models

The Road to Accountable AI ·

2024/10/17

This week, Professor Werbach is joined by Kevin Bankston, Senior Advisor on AI Governance for the Center for Democracy & Technology, to discuss the benefits and risks of open weight frontier AI models. They discuss the meaning of open foundation models, how they relate to open source software, how such models could accelerate technological advancement, and the debate over their risks and need for restrictions. Bankston discusses the National Telecommunications and Information Administration's recent

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36:46

Lara Abrash: How Organizations Can Meet the AI Challenge

The Road to Accountable AI ·

2024/10/10

In this episode, Professor Kevin Werbach sits with Lara Abrash, Chair of Deloitte US. Lara and Kevin discuss the complexities of integrating generative AI systems into companies and aligning stakeholders in making AI trustworthy. They discuss how to address bias, and the ways Deloitte promotes trust throughout its organization. Lara explains the role and technological expertise of boards, company risk management, and the global regulatory environment. Finally, Lara discusses the ways in which

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39:49

Adam Thierer: Where AI Regulation Can Go Wrong

The Road to Accountable AI ·

2024/10/03

Professor Werbach speaks with Adam Thierer, senior fellow for Technology and Innovation at R Street Institute. Adam and Kevin highligh developments in AI regulation on the state, federal, and international scale, and discuss both the benefits and dangers of regulatory engagement in the area. They consider the notion of AI as a “field-of-fields,” and the value of a sectoral approach to regulation, looking back to the development of regulatory approaches for the internet. Adam discusses what types of

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37:15

Reggie Townsend: The Deliberate and Intentional Path...

The Road to Accountable AI ·

2024/09/26

In this episode, Kevin Werbach is joined by Reggie Townsend, VP of Data Ethics at SAS, an analytics software for business platform. Together they discuss SAS’s nearly 50-year long history of supporting business’s technology and the recent implementation of responsible AI initiatives. Reggie introduces model cards and the importance of variety in AI systems across diverse stakeholders and sectors. Reggie and Kevin explore the increase in both consumer trust and purchases when they feel a brand is

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41:15

Helen Toner: AI Safety in a World of Uncertainty

The Road to Accountable AI ·

2024/09/19

Join Professor Kevin Werbach in his discussion with Helen Toner, Director of Strategy and Foundational Research Grants at Georgetown’s Center for Security and Emerging Technology. In this episode, Werbach and Toner discuss how the public views AI safety and ethics and both the positive and negative outcomes of advancements in AI. We discuss Toner’s lessons from the unsuccessful removal of Sam Altman as the CEO of OpenAI, oversight structures to audit and approve the AI companies deploy, and the role

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See you in September for Season 2!

The Road to Accountable AI ·

2024/07/18

After 16 episodes in Season 1, we're taking a summer break at The Road to Accountable AI. Look for more compelling content on AI governance, regulation, ethics, and responsibility when we return in September.

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34:16

Nuala O'Connor: Frontline Human-Machine Interface at...

The Road to Accountable AI ·

2024/07/11

Join Kevin and Nuala as they discuss Walmart's approach to AI governance, emphasizing the application of existing corporate principles to new technologies. She explains the Walmart Responsible AI Pledge, its collaborative creation process, and the importance of continuous monitoring to ensure AI tools align with corporate values. Nuala reveals her commitment to responsible AI with a focus on customer centricity at Walmart with the mantra “Inform, Educate, Entertain” and examples like the "Ask Sam"

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35:22

Suresh Venkatasubramanian: Blueprints and Redesign:...

The Road to Accountable AI ·

2024/07/04

Join Kevin and Suresh as they discuss the latest tools and frameworks that companies can use to effectively combat algorithmic bias, all while navigating the complexities of integrating AI into organizational strategies. Suresh describes his experiences at the White House Office of Science and Technology Policy and the creation of the Blueprint for an AI Bill of Rights, including its five fundamental principles—safety and effectiveness, non-discrimination, data minimization, transparency, and

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32:40

Diya Wynn: People-Centric Technology

The Road to Accountable AI ·

2024/06/27

Kevin Werbach speaks with Diya Wynn, the responsible AI lead at Amazon Web Services (AWS). Diya shares how she pioneered a formal practice for ethical AI at AWS, and explains AWS’s “Well-Architected” framework to assist customers in responsibly deploying AI. Kevin and Diya also discuss the significance of diversity and human bias in AI systems, revealing the necessity of incorporating diverse perspectives to create more equitable AI outcomes. Diya Wynn leads a team at AWS that helps customers

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31:58

Paula Goldman: Putting Humans at the Helm

The Road to Accountable AI ·

2024/06/20

Kevin Werbach is joined by Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, to discuss the pioneering efforts of her team in building a culture of ethical technology use. Paula shares insights on aligning risk assessments and technical mitigations with business goals to bring stakeholders on board. She explains how AI governance functions in a large business with enterprise customers, who have distinctive needs and approaches. Finally, she highlights the shift from "human in the

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37:11

Navrina Singh: AI Alignment in Practice

The Road to Accountable AI ·

2024/06/13

Kevin Werbach speaks with Navrina Singh of Credo AI, which automates AI oversight and regulatory compliance. Singh addresses the increasing importance of trust and governance in the AI space. She discusses the need to standardize and scale oversight mechanisms by helping companies align and translate their systems to include all stakeholders and comply with emerging global standards. Kevin and Navrina also explore the importance of sociotechnical approaches to AI governance, the necessity of

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