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SUMMARY:CSW70 | When Algorithms Discriminate: Gender Bias in Justice Systems
DESCRIPTION:Wednesday\, 11 March 2026 \n4:30 – 6:00 PM ET \nNGO CSW  \n10th Floor\, Church Center of the United Nations \n777 United Nations Plaza\, New York \n  \nAn In Depth Discussion: What happens when courts replace judges with computer algorithms? We are told these systems are “objective” and “fair”  but the evidence tells a different story. From bail decisions to sentencing\, algorithms are making life-changing choices about women based on biased data and male-centered assumptions. A woman seeking justice after assault may find her credibility automatically questioned. A mother may be flagged as “high risk” simply because of where she lives or her employment history. Meanwhile\, these same systems treat men’s violence as more predictable and less dangerous. \nThis is not science fiction\,  it is happening right now in courts worldwide. Join us to uncover how technology is creating new barriers to justice for women and girls\, and what policy solutions can effectively address it. \n  \nLaura Nyirinkindi | UN Special Procedures Member\, Working Group on discrimination against women and girls\nAfrica Regional Vice President of the International Federation of Women Lawyers (Federación Internacional de Abogadas) \nFernanda K. Martins | Fundacion multitudes\, Director of Strategy and Advocacy \nCaitlin Kraft–Buchman | Women At The Table; CEO \n 
URL:https://aiequalitytoolbox.com/event/csw70-when-algorithms-discriminate-gender-bias-in-justice-systems/
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DTSTART;TZID=Europe/London:20260409T150000
DTEND;TZID=Europe/London:20260409T160000
DTSTAMP:20260413T221152
CREATED:20260218T102957Z
LAST-MODIFIED:20260218T104930Z
UID:10000026-1775746800-1775750400@aiequalitytoolbox.com
SUMMARY:What People in Rural Villages in Togo Can Teach Us About ML/AI and Privacy with Zoe Kahn | AI & Equality Pub-Talk
DESCRIPTION:🔗 Access paper: https://dl.acm.org/doi/abs/10.1145/3710968 \nHow do people living in rural villages in Togo feel about the use of emerging technologies in humanitarian aid? This work reports on the privacy concerns of people living in rural Togo related to the use of machine learning models trained on phone data to allocate cash assistance to people living in poverty\, highlighting an innovative method — sociotechnical visuals — to explain complex technical concepts so that people living in rural villages with limited literacy\, formal education\, and familiarity with digital tech could provide meaningful input. \nAbout the speaker:\nZoe Kahn is a postdoctoral research at the Research Centre for Trustworthy Data Science and Security. She received her PhD in Information Science from UC Berkeley and her B.A. in Sociology from New York University. Her research lies at the intersection of computer science\, law\, and society. She explores how people can meaningfully participate in the design of sociotechnical systems — especially those shaping public life\, governance\, and digital rights. Dr. Kahn has collaborated with diverse communities across Africa and the United States\, including extended fieldwork in rural Togo. \nHer work combines qualitative research with creative methods such as storytelling and sociotechnical visuals to make complex technical systems more understandable\, opening up dialogue with people with varying levels of literacy\, formal education\, and familiarity with digital tech. Beyond academia\, she has worked at a civil rights law firm\, tech startup\, and Microsoft–where she contributed to responsible AI tooling and governance frameworks. \n\n\nRegister here via our community on Circle
URL:https://aiequalitytoolbox.com/event/ai-equality-pub-talk-what-people-in-rural-villages-in-togo-can-teach-us-about-ml-ai-and-privacy-with-zoe-kahn/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260522
DTEND;VALUE=DATE:20260523
DTSTAMP:20260413T221152
CREATED:20260218T110002Z
LAST-MODIFIED:20260326T130923Z
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SUMMARY:AI & Equality Festival of Ideas
DESCRIPTION:Where the frontlines meet the code.\n\n\n\n\n\n\n\n\nAlgorithms are deciding who gets bail\, who gets a loan\, whose language gets spoken by machines\, whose body gets flagged at the border\, and whose labor gets automated.\n\n\n\n\nThe AI & Equality Festival of Ideas will convene the people working with algorithms; linguists building language models for African languages\, feminist scholars rewriting the benchmarks\, digital rights lawyers fighting surveillance states\, health researchers exposing algorithmic bias in clinical care\, and organizers connecting the dots between AI\, labor\, climate\, and indigenous land rights. \nOn May 22\, leading organisations will be sharing out loud\, across disciplines\, about what they are finding\, what they are fighting to create\, and what it will actually take to get there. \n\n\n\n\n\n\nStay tuned for more updates!  Visit the Festival Page!  \n\n\n\nOn the Agenda: A full day of 90-minute sessions hosted by leading organizations working at the frontlines of AI and society from around the world.\n\n\n\n\nSessions running across all time zones\, from South Asia to the Pacific Coast. Wherever you are\, there’s a session for you covering the questions that matter most: \n\nWhat are visions of society that work for all\, and how do we build it?\nWhose knowledge gets encoded — and whose gets erased?\nWhat would a rights-based\, feminist\, decolonial\, AI actually look like?\nHow do we get from research to real change?\n\n\n\nFull programme drops April 15. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nRegister on our Circle community >> where the festival will be happening! 
URL:https://aiequalitytoolbox.com/event/ai-equality-festival-of-ideas/
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DTSTART;TZID=Europe/London:20260630T150000
DTEND;TZID=Europe/London:20260630T160000
DTSTAMP:20260413T221152
CREATED:20260218T104809Z
LAST-MODIFIED:20260218T104836Z
UID:10000032-1782831600-1782835200@aiequalitytoolbox.com
SUMMARY:Moving Beyond Big Tech: Blueprints for Community-Led Language AI with Claudia Pozo | AI & Equality Pub-Talk
DESCRIPTION:Paper: TBD (available in June) \nThe digital world suffers from a profound linguistic disparity\, particularly in Africa where a lack of local language content and traditional\, Global North-led language technology models fail to meet community needs\, often resulting in data extraction and inequitable solutions. In an 18-month research project\, in collaboration with the Distributed AI Research Institute (DAIR)\, we highlight a powerful alternative: a growing grassroots movement of community-based language technology initiatives across Africa that adopt a bottoms-up approach\, prioritizing local needs and incorporating indigenous philosophies. This approach centers technology as an act of collective creation and community survival\, yet it faces significant challenges\, including a heavy reliance on Global North funding that can conflict with goals for self-determination and critical concerns around data governance and ownership in regions with underdeveloped legal frameworks. Ultimately\, the research advocates for a fundamental shift in technological practice to support these community-centered development models\, providing blueprints for the Global Majority to decolonize AI. \nAbout the speaker:\nClaudia Pozo is Language Justice Co-Lead at Whose Knowledge? She’s a South American brown feminist\, multifaceted activist\, researcher\, social scientist and strategist\, whose work is grounded in knowledge and language justice. She holds an MPhil in Development Studies and a BA in Communications. \n\n\nRegister here via our community on Circle
URL:https://aiequalitytoolbox.com/event/moving-beyond-big-tech-blueprints-for-community-led-language-ai-with-claudia-pozo-ai-equality-pub-talk/
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