Queer In AI: A Case Study in Community-Led Participatory AI

We present Queer in AI as a case study for community-led participatory design in AI. We examine how participatory design and intersectional tenets started and shaped this community's programs over the years. We discuss different challenges that emerged in the process, look at ways this organization has fallen short of operationalizing participatory and intersectional principles, and then assess the organization's impact. Queer in AI provides important lessons and insights for practitioners and theorists of participatory methods broadly through its rejection of hierarchy in favor of decentralization, success at building aid and programs by and for the queer community, and effort to change actors and institutions outside of the queer community. Finally, we theorize how communities like Queer in AI contribute to the participatory design in AI more broadly by fostering cultures of participation in AI, welcoming and empowering marginalized participants, critiquing poor or exploitative participatory practices, and bringing participation to institutions outside of individual research projects. Queer in AI's work serves as a case study of grassroots activism and participatory methods within AI, demonstrating the potential of community-led participatory methods and intersectional praxis, while also providing challenges, case studies, and nuanced insights to researchers developing and using participatory methods.

READ FULL TEXT

page 30

page 31

page 32

page 33

research
08/19/2020

Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation

Artificial intelligence (AI) has become prevalent in our everyday techno...
research
08/30/2021

Coding with Purpose: Learning AI in Rural California

We use an autoethnographic case study of a Latinx high school student fr...
research
03/02/2020

An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems

Healthcare is one of the most promising areas for machine learning model...
research
05/17/2022

Optimists at Heart: Why Do We Research Game AI? (Extended Version)

In this paper we survey the motivations behind contemporary game AI rese...
research
03/05/2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

The volume of open-source biomedical data has been essential to the deve...

Please sign up or login with your details

Forgot password? Click here to reset