Deborah Raji

Deborah Raji's AcademicInfluence.com Rankings

Deborah Raji

Computer Science

#2850

World Rank

#2982

Historical Rank

Artificial Intelligence

#2306

World Rank

#2345

Historical Rank

Database

#8906

World Rank

#9362

Historical Rank

computer-science Degrees

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Computer Science

Why Is Deborah Raji Influential?

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According to Wikipedia, Inioluwa Deborah Raji is a Nigerian-Canadian computer scientist and activist who works on algorithmic bias, AI accountability, and algorithmic auditing. Raji has previously worked with Joy Buolamwini, Timnit Gebru, and the Algorithmic Justice League on researching gender and racial bias in facial recognition technology. She has also worked with Google’s Ethical AI team and been a research fellow at the Partnership on AI and AI Now Institute at New York University working on how to operationalize ethical considerations in machine learning engineering practice. A current Mozilla fellow, she has been recognized by MIT Technology Review and Forbes as one of the world's top young innovators.

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Deborah Raji's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Model Cards for Model Reporting (2018) (946)
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing (2020) (343)
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products (2019) (286)
Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020) (220)
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing (2020) (165)
AI and the Everything in the Whole Wide World Benchmark (2021) (97)
On the Legal Compatibility of Fairness Definitions (2019) (37)
You Can't Sit With Us: Exclusionary Pedagogy in AI Ethics Education (2021) (35)
About Face: A Survey of Facial Recognition Evaluation (2021) (28)
The Fallacy of AI Functionality (2022) (27)
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles (2019) (26)
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem (2022) (17)
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance (2022) (11)
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data (2020) (5)
Handle with Care: Lessons for Data Science from Black Female Scholars (2020) (4)
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare (2023) (0)
Actionable Auditing Revisited (2022) (0)
Responsible Innovation for Machine Learning: Toward a Framework for Internal Algorithmic Audits (2020) (0)
From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance (2022) (0)

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Other Resources About Deborah Raji

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What Schools Are Affiliated With Deborah Raji?

Deborah Raji is affiliated with the following schools:

University of Toronto

Deborah Raji's Academic­Influence.com Rankings

Why Is Deborah Raji Influential?

Deborah Raji's Published Works

Published Works

Other Resources About Deborah Raji

What Schools Are Affiliated With Deborah Raji?

Deborah Raji's AcademicInfluence.com Rankings