text: 446,116,1391353801953746951,1215058162551873537,Elizabeth Bondi-Kelly,"Very excited to share a new paper, entitled ""Envisioning Communities: A Participatory Approach Towards AI for Social Good,"" at @AIESConf / #AIES2021. Thanks to my amazing co-authors @lilyxu0, @dacostanavas, @JacksonAKillian. Preprint posted at <LINK> (1/4) <LINK> In our paper, we present PACT, a framework for including community members as partners throughout an AI for social good project, including to define ""good"" in their context. (2/4) We use the capabilities and participatory approaches as conceptual tools. The capabilities approach focuses on the notion that all human beings should have a set of substantive liberties that allow them to function in society in the ways they choose. (3/4) We also provide guiding questions for AI researchers implementing this framework. We, as AI researchers dedicated to the advancement of social good, must make a PACT with communities to find our way forward together. (4/4)",http://arxiv.org/abs/2105.01774,"Research in artificial intelligence (AI) for social good presupposes some definition of social good, but potential definitions have been seldom suggested and never agreed upon. The normative question of what AI for social good research should be ""for"" is not thoughtfully elaborated, or is frequently addressed with a utilitarian outlook that prioritizes the needs of the majority over those who have been historically marginalized, brushing aside realities of injustice and inequity. We argue that AI for social good ought to be assessed by the communities that the AI system will impact, using as a guide the capabilities approach, a framework to measure the ability of different policies to improve human welfare equity. Furthermore, we lay out how AI research has the potential to catalyze social progress by expanding and equalizing capabilities. We show how the capabilities approach aligns with a participatory approach for the design and implementation of AI for social good research in a framework we introduce called PACT, in which community members affected should be brought in as partners and their input prioritized throughout the project. We conclude by providing an incomplete set of guiding questions for carrying out such participatory AI research in a way that elicits and respects a community's own definition of social good. ","Envisioning Communities: A Participatory Approach Towards AI for Social