Feminist AI : Where have we been this year, what have we built, and how are we going forward – Caitlin Kraft-Buchman, Jaime Gutiérrez Alfaro
Allies in Practicehttps://pretalx.com/mozilla-festival-2023/talk/WGU3RP/
https://pretalx.com/mozilla-festival-2023/talk/WGU3RP/
Our newest f<a+i>r cohort of papers & prototypes from around the world have begun their work are ready to share their research questions and mission with you!
What are the problems? Where are the gaps? How can it help women and men in the field?
What would open, inclusive and gender responsive AI procurement policies look like? And how could they help jumpstart a new innovation economy that finally might harness the intellectual capital of <50% of the population?
The upcoming ASIA Network Meeting will feature the winning team of the recently concluded Feminist AI Hackathon, which has held last March. The team, consisting of a recent Bachelor’s graduate in psychology from Chulalongkorn University and a high school student from Boston, Massachusetts, will talk about their project, “Eudaimonium”, an app that follows the feminist […]
Gender Justice / Climate Justice approaches. What mitigation and adaptation strategies and innovations are needed?
A strategy session with allies to discuss the proposed draft. Resolution on Upholding the Human Right to Transparency in Algorithmic Decision-Making: Empowering Individuals to Know When Their Lives Are Impacted by Automated Systems.
We'll be attending RightsCon with much of our leadership, many of our colleagues, discussing Digital Rights issues and their intersection with Feminist AI...as well as celebrating with co-leaders of the <A+> Alliance for Inclusive Algorithms - Tecnologico de Costa Rica !
In order to function, algorithms require millions of labeled training data to learn, recognize and categorize information. This labeling is often done by crowd workers who are neglected in system designs and whose well being is seldom considered. Latin American and Caribbean workers have been identified as significant crowd work contributors depending on crowd work […]
In order to function, algorithms require millions of labeled training data to learn, recognize and categorize information. This labeling is often done by crowd workers who are neglected in system designs and whose well being is seldom considered. Latin American and Caribbean workers have been identified as significant crowd work contributors depending on crowd work […]