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Contenido proporcionado por CDT's Tech Talk and Center for Democracy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente CDT's Tech Talk and Center for Democracy o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Talking Tech on Algorithmic Disability Determinations

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Manage episode 438340035 series 1187284
Contenido proporcionado por CDT's Tech Talk and Center for Democracy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente CDT's Tech Talk and Center for Democracy o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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.
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142 episodios

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Manage episode 438340035 series 1187284
Contenido proporcionado por CDT's Tech Talk and Center for Democracy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente CDT's Tech Talk and Center for Democracy o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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.
  continue reading

142 episodios

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