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.
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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 on Algorithmic Disability Determinations
CDT Tech Talks
44 minutes 35 seconds
1 year ago
Talking Tech on Algorithmic Disability Determinations
More and more people turn to quantified health, achievement, and ability measures, such as fitness apps and economic measures of well-being every single day. As part of this trend, medicalized approaches to human health often describe people in terms of statistics and data, sometimes failing to capture more important details. In particular, the quantified approach falls short in describing the needs and rights of disabled people, as seen in lawsuits and case studies involving algorithmic decision-making about disability benefits.
Here to talk about algorithmic decision-making and quantification in disability benefits in the United States and India are Vandana Chaudhry, Associate Professor in the Department of Social Work and Disability Studies at the City University of New York who focuses on disability and digital justice in the Global South, and Lydia X.Z. Brown, activist for disability justice, Director of Public Policy at the National Disability Institute, and CDT’s very own former policy counsel.
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.