IGF 2020 WS #359 Building a Feminist AI Research Network

FEMINIST RESEARCH METHODOLOGY: What would feminist research methodologies look like in AI? How can feminist methodologies result in different approaches to AI in developing countries? What questions would emerge, who would now be included, how would they be engaged, with what epistemologies? How could this methodology influence the knowledge that was developed? DATA COLLECTION: Where does traditional data collection go wrong? From a feminist point of view, what would inclusive data collection look like Before, During, After data is gathered? What would be a methodology to create this? How could governments (and other actors) ensure / facilitate ? SOCIAL PROTECTIONS: How do social protections work in the developing world? And which ones specifically affect women and girls? How is bias mitigated or amplified by underlying social protection assumptions, or development aid assumptions and in AI / Automated Decision-Making systems? What would an ADM social protection system look like if designed with a feminist perspective ? What are private sector uses of ADM in developing country contexts that are discriminatory/biased? CULTURAL NORMS: What are the combinations of norms, history, and procedure that perpetuate ways of working and that have led to amplification of existing inequalities? How do these norms constrain or promote patterns of behaviour in communities/organizations generally, and AI / tech organizations specifically? What are the forces and environments necessary for norm change for AI sector outcomes, and the AI sector itself? How can the dynamics of norm change be incorporated into a feminist agenda for AI?