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X-WR-CALDESC:Events for AI and Equality
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DTSTART;TZID=Europe/Zurich:20250911T170000
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SUMMARY:AI & Equality Community Monthly Meetups
DESCRIPTION:As our AI & Equality community keeps growing\, monthly meetups are a space to stay connected\, share our work\, and explore the latest in AI\, especially at the intersection of social justice and human rights\, while welcoming broader conversations. \nWhether you’re working on something you’d like to share\, exploring new ideas\, or simply want to listen in and connect\, you’re warmly welcome. \nCome meet fellow community members\, and help co-create this space. \nRegister to join our community on Circle.  \nExplore the AI & Equality Community events calendar 
URL:https://aiequalitytoolbox.com/event/ai-equality-community-monthly-meetups/
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DTSTAMP:20260413T132758
CREATED:20250813T074051Z
LAST-MODIFIED:20250828T091333Z
UID:10000003-1757343600-1757347200@aiequalitytoolbox.com
SUMMARY:The African AI & Equality Toolbox Launch
DESCRIPTION:The African AI & Equality Toolbox is a strategic initiative designed to empower African stakeholders—policymakers\, technologists\, civil society actors\, and communities—to shape Artificial Intelligence (AI) systems that are contextually relevant\, inclusive\, and grounded in human rights. \nDeveloped in collaboration with Women at the Table and the African Centre for Technology Studies (ACTS)\, and adapted from the global <AI & Equality> Human Rights Toolbox Initiative in collaboration with the UN Office of the High Commissioner for Human Rights (OHCHR)\, this African iteration provides practical tools and methodologies to guide equitable AI development across the continent. \nThe Toolbox applies a Human Rights-based AI Lifecycle Framework\, integrating reflective questions and the Human Rights Impact Assessment (HRIA) developed with the Alan Turing Institute. It emphasizes participatory\, multidisciplinary approaches and is rooted in feminist\, decolonial\, and Justice\, Equity\, Diversity\, and Inclusion (JEDI) principles and incorporates lessons from emerging digital rights challenges\, ensuring AI systems are designed with safety and dignity at their core. \n\nThis launch webinar will present the methodology and the process of development of the toolbox featuring the contributors and introduce the webinar series that focus on each stage of the lifecycle with the selected case studies. \n1PM GMT | 3PM SAST | 4PM EAT \nRegister here  \n 
URL:https://aiequalitytoolbox.com/event/the-african-toolbox-launch/
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DTSTART;TZID=Europe/Zurich:20250626T170000
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CREATED:20250610T194111Z
LAST-MODIFIED:20250610T194111Z
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SUMMARY:Savannah Thais | Measurement for Effective and Ethical AI
DESCRIPTION:Details\n\n\n\n\n\n\n\n\nAs AI systems increasingly shape critical aspects of society\, the need for robust\, transparent methods to measure their behavior has never been more urgent. Leveraging my background in particle physics\, I have focused my research on designing rigorous\, domain informed approaches to measuring AI performance and impact. \nIn the first half of this talk I will introduce a few of my recent research projects spanning benchmark development for agentic AI systems\, novel policy impact analysis frameworks\, and technical literacy development. In the second half of the talk I will introduce our exciting new Human Rights Benchmark project which aims to assess language model performance through the lens of internationally recognized human rights. I will outline our methodology\, including prompt development and model evaluation strategies\, and discuss how this work contributes to more accountable and socially aligned AI systems. \nDr. Savannah Thais is an Associate Research Scientist in the Columbia Data Science Institute with a focus on machine learning (ML). She is interested in complex system modeling and in understanding what types of information is measurable or modelable and what impacts designing and performing measurements have on systems and societies. This work is informed by her background in high energy particle physics and incorporates traditional scientific experiment design components such as uncertainty quantification\, experimental blinding\, and decorrelation/de-biasing methods. Her recent work has focused on geometric deep learning\, methods to incorporate physics-based inductive biases into ML models\, regulation of emerging technology\, social determinants of health\, and community education. \n\nDr. Thais is the founder and Research Director of Community Insight and Impact\, an non-profit organization focused on data-driven community needs assessments for vulnerable populations and effective resource allocation. She is passionate about the impacts of science and technology on society and is a strong advocate for improving access to scientific education and literacy\, community centered technology development\, and equitable data practices. She was the ML Knowledge Convener for the CMS Experiment from 2020-2022\, currently serves on the Executive Board of Women in Machine Learning and the Executive Committee of the APS Group on Data Science\, and is a Founding Editor of the Springer AI Ethics journal. \n\nDr. Thais received her PhD in Physics from Yale University in 2019 and was a postdoctoral researcher at Princeton University from 2019-2022.
URL:https://aiequalitytoolbox.com/event/savannah-thais-measurement-for-effective-and-ethical-ai/
LOCATION:AI & Equality Community
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