April Chin is co-CEO of AI assessment company Resaro, one of a small group of invite-only "premier" members of Singapore's AI governance program, AI Verify. In this second episode in Privacy on the Ground's series about AI Verify, Chin discusses the evolution of AI Verify, the methods and approaches it has developed and piloted, recent initiatives such as its generative AI-focused global AI Assurance Pilot, and the obstacles that external auditors like Resaro might face when it comes to accessing important components of AI systems needed for meaningful assessment. The interview was recorded in November 2025.

The Privacy on the Ground intro theme features music by Pangal. Episode music is by Zefyr.

Featured in this episode:
-April Chin, Co-CEO of Resaro
-Kate Kaye, Deputy Director of World Privacy Forum

Some might consider AI Verify's "building the plane as it flies" approach to AI governance to be rushed or risky; some might question the organization's deep collaboration with industry. But no matter what, it's hard to argue that Singapore's AI Verify project -- and its unique policy sandbox style model -- is influential and offers a real-world example of AI governance that is willing to test and iterate much in the same way that the tech industry itself does. In this first episode of our three-part series on Singapore's AI Verify, listeners will learn about the history and evolution of AI Verify and its key projects, and get a glimpse from insiders into one of its most recent efforts aimed at assessing generative AI applications.

The Privacy on the Ground intro theme features music by Pangal. Episode music is by Gianpaolo Rinaldi.

Featured in this episode:

• April Chin, Co-CEO of Resaro
• Jason Tamara Widjaja, Executive Director of AI at MSD
• Kate Kaye, Deputy Director of World Privacy Forum

In part three of World Privacy Forum's explainer series about C2PA, we'll talk trust. C2PA is not intended to directly determine the trustworthiness of content, but it does have a Trust Model and C2PA metadata are meant to be used as signals for measuring content trustworthiness. In this episode, you'll learn about the C2PA Trust Model process including the Conformance Program, Trust List, and why the absence of C2PA metadata can affect how trustworthiness of content is measured. This episode of Privacy on the Ground features music by Liam Back and Speedtest.

The Privacy on the Ground intro theme features music by Pangal.

Featured in this episode:

• Kate Kaye, Deputy Director of World Privacy Forum

If you're looking for an accessible overview of how C2PA - aka Content Credentials - works technically and how it relates to privacy, identity, and trust, this is it!

In our first episode in this explainer series about C2PA, we shared an overview of how C2PA works, and what it does in relation to privacy, identity, and trust. In this second episode, we dig deeper into Identity in C2PA. You'll learn about what sorts of users want identity to be attached to content metadata – and who doesn't, and about the risks and tradeoffs of identity in relation to C2PA. And you'll hear from Pam Dixon, World Privacy Forum's executive director, about existing digital identity systems, regulations and infrastructure around the world and how they could relate to C2PA.

This episode of Privacy on the Ground features music by Liam Back and Speedtest. The Privacy on the Ground intro theme features music by Pangal.

Featured in this episode:

• Kate Kaye, Deputy Director of World Privacy Forum
• Pam Dixon, Executive Director of World Privacy Forum

If you're looking for an accessible overview of how C2PA works technically and how it relates to privacy, identity, and trust, this is it!

Imagine a system that automatically generates detailed data showing where the digital images, videos and documents we encounter came from, who made them, how they have changed, who owns the rights to their use, and even whether AI was used in their creation.

Some say C2PA (Coalition for Content Provenance and Authenticity) promises to be just that. C2PA is a technical framework for connecting digital media content such as images and videos to data about the origins of and changes made to that content. But it is not just a "content labeling" system. C2PA is intended to provide signals for gauging trustworthiness of content, kind of like provenance documentation indicating the authenticity of an oil painting or showing how some ancient artifact changed hands over time.

But how does C2PA really work? How does it relate to privacy, identity, and trust? And what could its use mean for our information and data ecosystem? It's too early to know whether C2PA will be one of those behind-the-scenes systems that shift the tectonic plates of our digital media ecosystem. But it's the right time to take a step back and assess what we do know about C2PA and what it could mean – not just for the future of digital information but for our connections to it.

This episode of Privacy on the Ground features music by Liam Back and Speedtest. The Privacy on the Ground intro theme features music by Pangal.

We know from World Privacy Forum's 2023 report on AI governance tools, Risky Analysis, that these tools can have problems and should be assessed before they're deployed. But what do we learn about AI governance tools when they are actually put to use? This was the focus of recent research discussed in a paper by World Privacy Forum deputy director Kate Kaye. In this short episode of Privacy on the Ground, Kaye discusses her research which she presented recently at the fourth European Workshop on AI Fairness, an academic conference in The Netherlands.

This episode of Privacy on the Ground features music by Maciej Sadowski. The Privacy on the Ground intro theme features music by Pangal.

Read Kate Kaye's paper, "Uncovering Areas for AI Governance Tools Refinement through Real-World Use Case Analysis from Canada, Chile and Singapore," in the Proceedings of Fourth European Workshop on Algorithmic Fairness:
https://proceedings.mlr.press/v294/kaye25a.html

Read World Privacy Forum's 2023 report on AI governance tools, "Risky Analysis: Assessing and Improving AI Governance Tools, An international review of AI Governance Tools and suggestions for pathways forward":
https://worldprivacyforum.org/posts/new-report-risky-analysis-assessing-and-improving-ai-governance-tools/

Will Tao knows first-hand how automated, algorithmic and machine learning systems used by Canada's government affect lives. The Founder of Heron Law Offices in Burnaby, British Columbia and co-founder of AIMICI (the AI Monitor for Immigration in Canada and Internationally) practices immigration, refugee and citizenship law in Canada. He has watched as these systems automatically determine or inform decisions affecting the lives of his clients sometimes influencing decisions about whether they can legally work, and even whether they must separate from their spouses or children. In this interview recorded in November 2024, World Privacy Forum's Kate Kaye talks with Tao about how use of algorithmic systems by Canada's immigration agency affect his clients, his experiences with Canada's Algorithmic Impact Assessments, and what he hopes to see change in relation to AI use and AI governance in Canada.

Featured in this episode:

• Will Tao, Founder of Heron Law Offices in Burnaby, British Columbia and co-founder of AIMICI (the AI Monitor for Immigration in Canada and Internationally)
• Kate Kaye, Deputy Director of World Privacy Forum

This episode of Privacy on the Ground features music by Maciej Sadowski. The Privacy on the Ground intro theme features music by Pangal.

When governments create AI governance policy tools, how are they used in real-world situations? What does the process of assessing a machine learning model used by a government agency look like? In this episode of Privacy on the Ground, you'll hear all about it from an insider: Mariana Germán, a researcher in the Ethical Algorithms Project at GobLab UAI, the public innovation laboratory at Chile's Universidad Adolfo Ibáñez's School of Government. Germán and the team at GobLab helped assess a machine learning model in development for use to help decide medical claims at Chile's health agency, the Department of Social Security Superintendence or SUSESO. In this full interview recorded in September of 2024, Germán and World Privacy Forum Deputy Director Kate Kaye dig deep into the metrics and measurements used to assess the model and its risks of producing discriminatory decisions, discussing the caveats of the AI governance tools, measures and metrics themselves, and how they were applied.

Featured in this episode:

• Mariana Germán, researcher in the Ethical Algorithms Project at GobLab, the public innovation laboratory at Chile's Universidad Adolfo Ibáñez's School of Government
• WPF's deputy director and Privacy on the Ground host and producer Kate Kaye

This episode of Privacy on the Ground features music by Maciej Sadowski. The Privacy on the Ground intro theme features music by Pangal.