Christopher Harrison, J.D., Ph.D.’s Post

A recent report by Ariana Aboulafia, Miranda Bogen, and Bonnielin Swenor titled "To Reduce Disability Bias in Technology, Start With Disability Data," published by the Center for Democracy & Technology (CDT), discusses the challenges and solutions for mitigating disability bias in technology through improved disability data collection. The report emphasizes the importance of accurate, inclusive, and respectful data practices to reduce discriminatory impacts on people with disabilities, particularly in contexts such as employment, benefits, and healthcare, where technology is increasingly used. Three Key Takeaways: 1. Importance of Inclusive Data Collection: The report highlights that disability data must be collected in all demographic contexts where other data is gathered, such as age, race, and gender. This approach ensures that disabled individuals are adequately represented in data sets used to develop and train technologies, which can otherwise perpetuate bias. 2. Challenges with Current Disability Data: The report identifies significant problems with existing disability data sets, including non-inclusiveness, under-inclusiveness, and inaccuracies. These issues often stem from varying definitions of disability and exclusionary data collection practices, leading to biased outcomes in algorithmic systems. 3. Recommendations for Disability Data Justice: The report outlines seven key recommendations to promote disability data justice, including the need to include disabled people in the creation and auditing of technologies, center disabled leaders in policy-making, and ensure that data collection methods are accessible to all individuals with disabilities.

Disability Data Bias Reduction

Disability Data Bias Reduction

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Joseph E.

Disability Specialist in HIV prevention

3mo

Very informative

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