As AI systems become more embedded in critical decisions—from healthcare to hiring—the need for transparency and trust has never been greater. But how do we document these powerful tools in a way that’s both meaningful and actionable?
In this episode, we’ll welcome back Umang Bhatt, Assistant Professor in Trustworthy AI at the University of Cambridge and welcome Amy Winecoff, Senior Technologist for CDT as guest host. Together they’ll explore the evolving landscape of AI documentation, its role in responsible deployment, and how emerging standards can help developers, policymakers, and the public understand and govern machine learning models more effectively.
All content for CDT Tech Talks is the property of Center for Democracy and Technology and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
As AI systems become more embedded in critical decisions—from healthcare to hiring—the need for transparency and trust has never been greater. But how do we document these powerful tools in a way that’s both meaningful and actionable?
In this episode, we’ll welcome back Umang Bhatt, Assistant Professor in Trustworthy AI at the University of Cambridge and welcome Amy Winecoff, Senior Technologist for CDT as guest host. Together they’ll explore the evolving landscape of AI documentation, its role in responsible deployment, and how emerging standards can help developers, policymakers, and the public understand and govern machine learning models more effectively.
Talking Tech with Rachel Cummings & Daniel Susser on Differential Privacy
CDT Tech Talks
29 minutes 49 seconds
1 year ago
Talking Tech with Rachel Cummings & Daniel Susser on Differential Privacy
In recent years, differential privacy has emerged as a promising solution for enhancing privacy protections in data processing systems. However, beneath its seemingly robust framework lie certain assumptions that, if left unquestioned, could inadvertently undermine its efficacy in safeguarding individual privacy.
Here to discuss their recent papers on differential privacy is Rachel Cummings, Associate Professor of Industrial Engineering and Operations Research at Columbia University and CDT Non-Resident Fellow and Daniel Susser, Associate Professor for the Department of Information Science at Cornell University and CDT Non-Resident Fellow.
CDT Tech Talks
As AI systems become more embedded in critical decisions—from healthcare to hiring—the need for transparency and trust has never been greater. But how do we document these powerful tools in a way that’s both meaningful and actionable?
In this episode, we’ll welcome back Umang Bhatt, Assistant Professor in Trustworthy AI at the University of Cambridge and welcome Amy Winecoff, Senior Technologist for CDT as guest host. Together they’ll explore the evolving landscape of AI documentation, its role in responsible deployment, and how emerging standards can help developers, policymakers, and the public understand and govern machine learning models more effectively.
