CDT Research, Privacy & Data, Tech Talk
Tech Talk: 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. To learn more about the potential risks people with disabilities face when interacting with technologies and how to mitigate them, read CDT’s report on reducing disability bias in technology using “disability data justice” approaches.
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