Fixing the disability data gap: why inclusive AI starts with better data | Ariana Aboulafia
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In this episode, we explore the often-overlooked disability data gap in AI, and why it matters for equitable hiring.
Ariana Aboulafia, who leads the Disability Rights in Technology Policy Project at the Center for Democracy & Technology (CDT), joins us to share insights on designing more inclusive algorithmic systems and creating datasets that are more representative of disability.
Whether you’re building AI, hiring talent, or advocating for accessibility, this episode is a great starting point for understanding how to reduce disability bias in technology.
In the conversation, we explore:
- How effective AI hiring tools are at reducing human bias
- The importance of including people with disabilities at every stage of AI development
- The challenges of getting accurate disability data
- How understanding the different definitions of disability can improve data collection
Missed last week's episode? Would Stephen Hawking get hired today? The hiden bias in AI recruiting tools
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About Ariana Aboulafia
Ariana Aboulafia leads the Disability Rights in Technology Policy Project at the Center for Democracy & Technology, which focuses on the ways in which certain technologies impact disabled people.
An attorney with a strong background in public interest advocacy, and with particular expertise in disability, technology, criminal law, and the First Amendment, Ariana has also worked as a public defender.
Learn more about Ariana: https://cdt.org/staff/ariana-aboulafia/
Follow Ariana on LinkedIn: https://www.linkedin.com/in/arianaaboulafia/
Follow Ariana on Twitter: https://twitter.com/ArianaAboulafia
Read the disability data report: https://cdt.org/wp-content/uploads/2024/07/2024-07-23-Data-Disability-report-final.pdf
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37 episodes