Raji, Inioluwa Deborah

Impact on the world

First identified racial bias in AI systems firsthand during an internship at the company Clarifai, where she observed that people of color were flagged as having inappropriate content at disproportionately higher rates than white users; she went on to work directly with Joy Buolamwini at the MIT Media Lab and the Algorithmic Justice League, co-authoring a 2019 follow-up audit to 'Gender Shades' that specifically examined Amazon's facial recognition technology and found similar racial and gender disparities to those previously documented in IBM and Microsoft's systems, research Amazon publicly attempted to discredit before more than 70 outside researchers, including a Turing Award winner, signed a letter defending its validity. She subsequently worked with Google's Ethical AI team alongside Timnit Gebru, co-authoring frameworks for internal algorithmic auditing intended to give companies concrete, end-to-end processes for identifying bias and accountability gaps before AI systems are deployed, work that has since informed legislative proposals on AI oversight at multiple levels of government.

Life & background

Born in Port Harcourt, Nigeria around 1995, Raji moved to Mississauga, Ontario, Canada at age four and was later raised in Ottawa, where she completed Canada's International Baccalaureate program before pursuing computer science; her formative encounter with algorithmic bias came during an internship at the AI company Clarifai, where she noticed the company's content-moderation systems disproportionately flagged people of color's images as not safe for work compared to white users' images, a pattern that shaped the direction of her subsequent research career. She went on to collaborate directly with Joy Buolamwini, conducting hands-on technical audits of commercial facial recognition systems from Microsoft, Amazon, IBM, Face++, and Kairos, and her 2019 'Actionable Auditing' research specifically targeting Amazon's Rekognition software found error patterns serious enough that Amazon publicly pushed back against the findings, prompting a defense letter signed by more than 70 researchers in the field, including artificial intelligence pioneer and Turing Award recipient Yoshua Bengio. She later worked alongside Timnit Gebru on Google's Ethical AI team, co-authoring research on closing what the pair termed the 'AI accountability gap' by proposing concrete internal auditing frameworks companies could adopt before deploying machine learning systems, and has held fellowships at the Partnership on AI, the AI Now Institute at New York University, and the Mozilla Foundation, where she served as a Senior Trustworthy AI Fellow, while pursuing her doctorate in computer science at UC Berkeley. Her work has been featured in the 2020 documentary 'Coded Bias,' she has been named to both MIT Technology Review's 35 Under 35 and Forbes's 30 Under 30 lists alongside recognition on Time's list of the most influential people in AI, and she currently serves as an Academic Fellow at the Leadership Conference on Civil and Human Rights, continuing to advise on the legal and institutional frameworks needed to hold deployed AI systems accountable for their real-world harms.

Sources

1. HandWiki; Knight First Amendment Institute; Ada Lovelace Institute; University of Colorado Boulder CS Colloquium; Metaverse Post