Privacy, Identity and Trust in C2PA: An Explainer Series (Part 1)
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.
--------
23:38
--------
23:38
What We Learn When We Put AI Governance Tools to Use
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/
--------
14:48
--------
14:48
Lawyer Will Tao on the Real-World Impacts of AI and Canada’s Algorithmic Impact Assessments on Immigrants
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.
--------
43:40
--------
43:40
Assessing Chile's Medical Claims Model: An AI Governance Metrics Deep Dive with Mariana Germán
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.
--------
56:03
--------
56:03
Why Rodrigo Moya Changed His Mind about Chile’s AI Governance Tool for Assessing a Medical Insurance Claims AI Model
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.
Privacy On The Ground is where privacy meets real life. Discussions about privacy in relation to government policy, legal compliance, or tech can be complicated and inaccessible. But the meaning of privacy and how data use affects us in our real lives is anything but: It is contextual and tangible. That’s what we aim for with Privacy on the Ground. In this podcast, you’ll hear talks and stories that reflect what privacy means for real people and real lives.
Privacy On The Ground is a production of World Privacy Forum, a nonpartisan 501c3 nonprofit public interest research organization. Find us online at www.WorldPrivacyForum.org.
France