Amid growing concerns about the disparate impacts of AI, many practitioners have recognized the need to incorporate a more diverse set of perspectives into the AI design and development process. Efforts to “include” non-expert voices during AI development, however, can often be extractive, ineffective, limited, and ad hoc.
To address this problem, the Methods of Inclusion Worksteam seeks to identify a broader range of methodologies and practices that can be applied at different stages of the AI development process, drawing on the large body of scholarship that has grappled with the question of how to create inclusive channels of participation in other domains. In the process, this work hopes to better identify both the challenges AI practitioners face when trying to incorporate non-technical feedback and the barriers to participation experienced by users and other affected groups.
Research and Publications
Paving an Intentional Path Towards Inclusion in AI Development
The article introduces PAI’s approach to inclusive research and design – outlining the importance of developing intentional practices in AI/ML development to address exclusion and harm in the industry.