Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Deborah Raji"'
1
Akademický článek
Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities.
Autor: Jee Young Kim, Alifia Hasan, Katherine C Kellogg, William Ratliff, Sara G Murray, Harini Suresh, Alexandra Valladares, Keo Shaw, Danny Tobey, David E Vidal, Mark A Lifson, Manesh Patel, Inioluwa Deborah Raji, Michael Gao, William Knechtle, Linda Tang, Suresh Balu, Mark P Sendak
Publikováno v: PLOS Digital Health, Vol 3, Iss 5, p e0000390 (2024)
The use of data-driven technologies such as Artificial Intelligence (AI) and Machine Learning (ML) is growing in healthcare. However, the proliferation of healthcare AI tools has outpaced regulatory frameworks, accountability measures, and governance
Externí odkaz: https://doaj.org/article/db7470687f8e466fa29ee35309e09118
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2
Actionable Auditing Revisited
Autor: Inioluwa Deborah Raji, Joy Buolamwini
Publikováno v: Communications of the ACM. 66:101-108
Although algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, we struggle to understand the real-world impact of these audits and continue to find it difficult to translate such independent as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c09b0cd22b545b7779d020cbccc8ba6d
https://doi.org/10.1145/3571151
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3
Akademický článek
Handle with Care: Lessons for Data Science from Black Female Scholars
Autor: Inioluwa Deborah Raji
Publikováno v: Patterns, Vol 1, Iss 8, Pp 100150- (2020)
The contribution of Black female scholars to our understanding of data and their limits of representation hint at a more empathetic vision for data science that we should all learn from.
Externí odkaz: https://doaj.org/article/130609ae1c64477e8e8b1491a79c8eff
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4
Akademický článek
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data
Autor: Inioluwa Deborah Raji
Publikováno v: Patterns, Vol 1, Iss 4, Pp 100066- (2020)
In data science, there’s long been an acknowledgment of the way data can flatten and dehumanize the people they represent. This limitation becomes most obvious when considering the pure inability of such numbers and figures to truly capture the rea
Externí odkaz: https://doaj.org/article/54d85294e3d5462889ac39070560260a
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8
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Autor: Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel Ho
Much attention has focused on algorithmic audits and impact assessments to hold developers and users of algorithmic systems accountable. But existing algorithmic accountability policy approaches have neglected the lessons from non-algorithmic domains
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556ea90b66b80d47b13e03ffb938f082
http://arxiv.org/abs/2206.04737
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10
That's not fair!
Autor: Deborah Raji
Publikováno v: XRDS: Crossroads, The ACM Magazine for Students. 25:44-48
Why we need to study machine learning fairness, even in an increasingly unfair world.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4972ff24499f225d21484e179a8c5136
https://doi.org/10.1145/3313127
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