Privacy On The Ground

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.

Inside Chile's Department of Social Security Superintendence — the country's social security and medical insurance agency — medical claims processors hold the livelihoods and future health of thousands of people in their hands. They are responsible for deciding whether or not the government should pay wages when workers are on medical leave or cover other expenses such as occupational mental health related costs.  Like many government agencies these days, the agency, known by its acronym SUSESO, has begun to use machine learning models to help its limited staff process a high volume of medical claims. The idea is to streamline and in some cases automate certain parts of that claims evaluation process. Use of AI and the tools used to govern and assess these systems have upended traditional government processes. And in Chile, SUSESO project manager Rodrigo Moya is caught in the middle. Moya heads up the Digital Transformation, Innovation and Project Unit in SUSESO's Technology and Operations Department. He must balance project time and resource constraints with the need to analyze risks and impacts of AI.  In this episode of Privacy on the Ground, you'll hear the story of how Moya and others at SUSESO have used Chile's AI governance tool requiring assessment of AI systems as part of the AI procurement process, and about how Moya has navigated tensions regarding use of automation when it comes to risky government decision making affecting people's lives.  Featured in this episode: Rodrigo Moya, head of the Digital Transformation, Innovation and Project Unit in the Technology and Operations Department at SUSESO Mariana German, 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.

There's no shortage of principles and policies for governing AI from governments and NGOs around the world. But how do they put those principles and policies into practice? It's that practical side of AI governance that has been a key focus of our work at World Privacy Forum for more than two years.  Rather than look only at government policies, in early 2023 we went layers deeper, looking at the tools that governments and NGOs around the world—from Canada to Chile to Ghana to New Zealand to Singapore—have developed for actually implementing those AI policies.  Since then, we have observed actual use of these tools to understand how they govern and measure AI and spot where there's room for improvement. Key to that work has been talking to people who have actually used those AI governance tools, including people in Canada and Chile.  WPF's forthcoming Privacy on the Ground series—AI Governance Tools on the Ground—features talks with some of those people. In this episode introducing the series, you'll hear WPF's founder and executive director, Pam Dixon, along with WPF's deputy director and Privacy on the Ground host and producer Kate Kaye, discuss what led to this work and how AI Governance Tools have evolved. This episode of Privacy on the Ground features music by Maciej Sadowski. The Privacy on the Ground intro theme features music by Pangal.

Emotion recognition is baked into all sorts of software and systems many of us use or experience every day, from video call systems measuring the "mood" at a work meeting, to systems used to gauge distraction at school, or impairment or anger of drivers inside their cars. Despite its increasing proliferation, emotion recognition systems and the data use embedded in them create significant privacy impacts.  What is emotion recognition? Would fixing inaccuracy problems in these systems alleviate the potential harms they enable? Should emotion related data be recognized as a sensitive type of information along with health financial and other sensitive data? How might policymakers address potential harms of emotion recognition? Dr. Nazanin Andalibi, Assistant Professor at the University of Michigan School of Information, has a lot to say about all this, and she has the research to back it up. World Privacy Forum Deputy Director Kate Kaye interviewed Dr. Andalibi in June 2024 in Rio de Janeiro, Brazil. This episode of Privacy on the Ground features music by Old Wave. The Privacy on the Ground intro theme features music by Pangal.

In this episode of World Privacy Forum's Privacy on the Ground, Māori language expert and educator Te Mihinga Komene shares positive and problematic experiences working with tech companies to help build and correct Māori language translation and learning systems. Komene also discusses extractive data collection practices in AI, and why she hopes her scholarly research will help ensure the Māori language flourishes in the generative AI era. She was interviewed by World Privacy Forum Deputy Director Kate Kaye in June 2024 in Rio de Janeiro at the FAccT conference on fairness, accountability, and transparency in socio-technical systems.

There are often disconnects between data protection policy and actual practice on the ground, especially when policy established on a regional or international level is intended to meet the needs of local communities. Eric Hardy is no stranger to this reality. In his role at the Labriola National American Indian Data Center, an Indigenous library at Arizona State University, Hardy is in the thick of it, working out the everyday practical ways that Indigenous Data Sovereignty policies intersect with the priorities of the library and its tribal communities – both on campus at ASU and beyond. In this episode of Privacy on the Ground (a follow-up to our previous episode featuring Labriola National American Indian Data Center Director Alex Soto), Hardy shares his insights and approaches to incorporating Indigenous Data Sovereignty into the Labriola's community outreach and programs, and discusses the tensions that can emerge when communities aim to establish or implement Indigenous Data Sovereignty policy that may work theoretically or on an international level, but conflict with other pressing, local community needs. Podcast photo: Labriola National American Indian Data Center Senior Program Coordinator, Eric Hardy (left) and Student Library Aid Nataani Hanley-Moraga (right).  

Turning what Alex Soto refers to as sometimes "lofty, grand" theoretical Indigenous Data Sovereignty principles and protocols into practice can be mundane, even tedious. It could require combing through hundreds of years-worth of paper documents, photos, oral histories of sensitive cultural knowledge in various formats, and other materials. It requires dedicated investments in time and money, and it requires on-the-ground communication and connection with tribal communities. In this talk recorded in April 2024 at the Labriola National American Indian Data Center, an Indigenous library on Arizona State University's Tempe campus near Phoenix, where Soto serves as its first native director, he discussed what this day-to-day reality entails, where the gaps between policy and practice emerge, and what it might take to bring them closer together. This episode of Privacy on the Ground is part of a series from World Privacy Forum exploring Indigenous Data topics through talks with Indigenous leaders who are guiding pathways toward implementing sometimes-theoretical Indigenous data principles in real life practice. Don't miss the treat at the end of this episode, when Soto, a hip hop MC with a longtime interest in socially-conscious music, spits a rhyme.

Every day it seems as though another little part of our lives is reflected in data. From the way we sleep to the way we order food, get a medical diagnoses, get a job -- even how our governments operate.   These interactions, decisions, and automations generate new data, combine it with existing data, share it, analyze it, and compute it. It all means that our earlier understandings of privacy and how to protect it have lost relevance to the rapidly evolving ways we live our lives. Discussions about privacy in relation to government policy, legal compliance, or technical implementation can be complicated, and sometimes pretty inaccessible. But the meaning of privacy and how data use affects us in our real lives is anything but. It is contextual and tangible. In this podcast, you'll hear talks and stories that reflect what privacy means for real people and real lives. Join World Privacy Forum deputy director and Privacy on the Ground host and producer Kate Kaye in this introductory episode to learn more about what you'll hear on the Privacy on the Ground podcast.  

Amy Juan sometimes tells a story about a little bean that grows on the Tohono O'odham Nation's San Xavier Co-op Farm called the Tepary bean. Juan is the admin manager of that farm, which is close to Tucson, Arizona. And, through her work with the International Indian Treaty Council, an indigenous peoples human rights organization, Juan has traveled the world as a knowledge holder in food and seed sovereignty for the southwest and desert region. But Juan's story of that ancient, drought-resistant bean and the knowledge embedded inside it tells even more about what she really does and why it matters. In this episode of Privacy on the Ground, Juan tells her story of the Tepary and how it connects to food sovereignty, data sovereignty, and Indigenous communities around the world.

Dr Krystal Tsosie made what she calls a "hail mary" pass when she and colleagues pushed the genomic science research community to recognize that collection of genomic information from Indigenous peoples may not have offered much benefit to the Indigenous groups who contributed DNA -- and instead perpetuated stereotypes and other harms. Today, Dr. Tsosie is doing groundbreaking work in the field of indigenous genomic data, indigenous data sovereignty, and bioethics, not only from a scientific research and technology standpoint, but when it comes to advocating for meaningful representation and inclusion of indigenous peoples to ensure their interests are protected. Hear Dr Tsosie's story in this eye-opening inaugural episode of Privacy on the Ground.