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Joy Buolamwini

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Joy Buolamwini
NameJoy Buolamwini
Birth date1989
Birth placeCanada
NationalityGhanaian-American
FieldsComputer science, Artificial intelligence, Ethics
Alma materMassachusetts Institute of Technology, Harvard University
Known forAlgorithmic bias research, Algorithmic Justice League

Joy Buolamwini is a computer scientist, digital activist, and founder of the Algorithmic Justice League whose work studies bias in artificial intelligence systems and the social implications of face recognition, surveillance, and automated decision-making. She researches algorithmic fairness and engages with policymakers, journalists, and technology companies to promote accountability, transparency, and inclusive design in systems developed by organizations such as Google, Amazon, Microsoft, IBM, MIT Media Lab, and Harvard University. Buolamwini's investigations intersect with debates involving civil rights advocates from ACLU, legislators from the United States Congress, and international bodies like the European Parliament.

Early life and education

Buolamwini was born to Ghanaian parents and spent early years between Montreal, Canada and Accra, Ghana, later relocating to the United States. She earned an undergraduate degree from the Massachusetts Institute of Technology and a master's degree from the Massachusetts Institute of Technology Media Lab where she studied under researchers affiliated with the Computer Science and Artificial Intelligence Laboratory and participated in projects connected to Google DeepMind and collaborators from Harvard University and Stanford University. Her graduate work included fellowships and mentorships involving scholars at Yale University, researchers associated with Microsoft Research, and initiatives connected to the Knight Foundation and Mozilla. Buolamwini later pursued studies at Harvard Kennedy School engaging with programs that included participants from Columbia University, Princeton University, and the University of Cambridge.

Career and research

Buolamwini's research agenda centers on empirical evaluation of machine learning systems developed by companies like IBM, Microsoft, and Amazon, and on proposing mitigation strategies informed by scholarship from Georgetown University, New York University, and the University of Oxford. She has collaborated with interdisciplinary teams that include faculty from Massachusetts Institute of Technology, data scientists from Facebook, engineers from Apple Inc., and ethicists from Harvard University and Yale University. Her work builds on prior studies by researchers at Stanford University and Carnegie Mellon University and dialogues with standards bodies including ISO and regulatory actors such as the Federal Trade Commission. Buolamwini has spoken at venues including TED, the United Nations, the World Economic Forum, South by Southwest, and panels with representatives from ACLU, Electronic Frontier Foundation, and Amnesty International.

Algorithmic bias and the Algorithmic Justice League

Buolamwini founded the Algorithmic Justice League to document discriminatory outcomes in technologies produced by entities like Amazon and Microsoft and to advocate for reforms aligned with recommendations from Human Rights Watch, Privacy International, and the International Covenant on Civil and Political Rights. The Algorithmic Justice League conducts audits drawing on datasets and methods used by teams at Stanford University, Massachusetts Institute of Technology, and Carnegie Mellon University, and seeks partnerships with institutions such as Google, IBM, Apple Inc., and public bodies including the United States Congress and the European Commission. The group works with civil society organizations such as NAACP, Color Of Change, and Black Lives Matter organizers to foreground impacts on communities represented in advocacy work by ACLU and Southern Poverty Law Center. Buolamwini's campaigns prompted engagements with corporate leaders at Amazon, Microsoft, and IBM, and legislative discussions involving members of the United States Senate and the European Parliament.

Major reports, publications, and activism

Buolamwini authored influential reports and scholarly articles that assessed facial analysis systems from firms including Microsoft, IBM, and Amazon. Her publications and public essays appeared alongside research from scholars at Stanford University, policy proposals from Brennan Center for Justice and Georgetown University, and investigative reporting by outlets like The New York Times, The Washington Post, and The Guardian. She contributed to policy briefs for the United Nations Special Rapporteur on privacy and testified or advised panels including sessions convened by the United States Congress, the European Commission, and the World Economic Forum. Buolamwini collaborated with filmmakers, artists, and technologists who have worked with institutions such as MOMA, London Science Museum, and festivals like SXSW to create public-facing exhibits and a documentary film that amplified findings from research labs at MIT and Harvard University.

Awards and recognition

Buolamwini's work has been honored by awards and fellowships from entities including the MacArthur Foundation, the Ford Foundation, and the Schmidt Futures program, and by recognition from publications such as Time (magazine), Forbes, and Wired (magazine). She has received fellowships and prizes associated with MIT Media Lab, the Harvard University community, and civic awards from organizations like EQUAL JUSTICE INITIATIVE and accolades from academic institutions including Yale University and Princeton University. Buolamwini's contributions are cited in policy discussions at the United States Congress, referenced in legislative proposals within the European Parliament, and highlighted in curricula at universities such as Massachusetts Institute of Technology, Stanford University, and Harvard University.

Category:Computer scientists Category:Artificial intelligence ethicists