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f<a+i>r Prototypes: The Feminist AI Research Network Great Reveal
22/03/2023 , Autonomy & Governance
Idioma: English (mozilla)

Meet, discuss, try, question, contribute to the three f<a+i>r Feminist AI Research Network Prototypes developed from papers in 2022 and now built and delivered in February 2023. Meet the incredible activist teams and their practical, applied, and potentially world changing feminist creations. Help us improve, spread the word, iterate, replicate and share!

  • Data Género’s AymurAI Automation Tools towards a Feminist Judiciary Reform in Argentina and Mexico
  • Via Libre’s tool to overcome and democratize technical barriers for bias assessment
    in human language technologies
  • Derechos Digitales’ Feminist framework for AI development: from principles to practice
Ver también : Recording

Caitlin Kraft-Buchman is CEO/Founder of Women at the Table, and Co-Founder of the <A+> Alliance for Inclusive Algorithms. Women at the Table,is a growing, global gender equality & democracy CSO based in Geneva, Switzerland focused on advancing feminist systems change by exercising leverage points in technology, the economy, sustainability & democratic governance by using the prism of technology, innovation & AI. The < A+ > Alliance, is a global coalition of technologists, activists and academics who champion Inclusive AI & Affirmative Action for Algorithms so that we come closer to creating gender and racial equality in a world where machine learning does not wire an already biased system into our future. The <A+> Alliance was an official selection of the Paris Peace Forum 2021, a 2020 Fast Company World Changing Idea in AI & Data, and leaders of the Generation Equality Forum Action Coalition for Technology & Innovation for Gender Equality.

Associate Professor in Computer Engineering at Centro Académico de Alajuela, Instituto Tecnológico de Costa Rica. Co-Leader, A+ Alliance for Inclusive Algorithms. Interested in how free geospatial software support vulnerable communities to produce and manage open data for decision making.