text: 302,55,1205147135802560512,1232021550,Karen Levy,"I am *really* excited about our new paper, Roles for Computing in Social Change, on its way to @fatconference: <LINK> This paper comes from *years* of thinking and talking among ourselves (me + @red_abebe @s010n @manish_raghavan @dgrobinson Jon Kleinberg) ... @fatconference @red_abebe @s010n @manish_raghavan @dgrobinson We wanted to think about ways computing research can support, not supplant, other forms of action toward a more just society -- taking advantage of computing's unique capabilities, while also recognizing what it can't do. @fatconference @red_abebe @s010n @manish_raghavan @dgrobinson We describe 4 ways computing researchers can position their work in the service of broad change: to diagnose and measure problems; to explicitly specify general policy goals; to clarify the limits of what technology can do; and to foreground long-standing social problems anew. @fatconference @red_abebe @s010n @manish_raghavan @dgrobinson In working on the paper, we thought hard about what we like so much about some of our favorite work, by folks like @latanyasweeney @PopTechWorks @jovialjoy @timnitGebru @annaeveryday @niftyc @mmitchell_ai @aylin_cim @random_walker @j2bryson and many others. @fatconference @red_abebe @s010n @manish_raghavan @dgrobinson @LatanyaSweeney @PopTechWorks @jovialjoy @timnitGebru @annaeveryday @niftyc @mmitchell_ai @aylin_cim @random_walker @j2bryson I learned so much from my co-authors in the course of writing this, and I'm really happy to have it out in the world! <LINK>",https://arxiv.org/abs/1912.04883,"A recent normative turn in computer science has brought concerns about fairness, bias, and accountability to the core of the field. Yet recent scholarship has warned that much of this technical work treats problematic features of the status quo as fixed, and fails to address deeper patterns of injustice and inequality. While acknowledging these critiques, we posit that computational research has valuable roles to play in addressing social problems -- roles whose value can be recognized even from a perspective that aspires toward fundamental social change. In this paper, we articulate four such roles, through an analysis that considers the opportunities as well as the significant risks inherent in such work. Computing research can serve as a diagnostic, helping us to understand and measure social problems with precision and clarity. As a formalizer, computing shapes how social problems are explicitly defined --- changing how those problems, and possible responses to them, are understood. Computing serves as rebuttal when it illuminates the boundaries of what is possible through technical means. And computing acts as synecdoche when it makes long-standing social problems newly salient in the public eye. We offer these paths forward as modalities that leverage the particular strengths of computational work in the service of social change, without overclaiming computing's capacity to solve social problems on its own. ",Roles for Computing in Social Change,5,"['I am *really* excited about our new paper, Roles for Computing in Social Change, on its way to @fatconference: <LINK>\nThis paper comes from *years* of thinking and talking among ourselves (me + @red_abebe @s010n @manish_raghavan @dgrobinson Jon Kleinberg) ...', ""@fatconference @red_abebe @s010n @manish_raghavan @dgrobinson We wanted to think about ways computing research can support, not supplant, other forms of action toward a more just society -- taking advantage of computing's unique capabilities, while also recognizing what it can't do."", '@fatconference @red_abebe @s010n @manish_raghavan @dgrobinson We describe 4 ways computing researchers can position their work in the service of broad change:\nto diagnose and measure problems;\nto explicitly specify general policy goals;\nto clarify the limits of what technology can do;\nand to foreground long-standing social problems anew.', '@fatconference @red_abebe @s010n @manish_raghavan @dgrobinson In working on the paper, we thought hard about what we like so much about some of our favorite work, by folks like @latanyasweeney @PopTechWorks @jovialjoy @timnitGebru @annaeveryday @niftyc @mmitchell_ai @aylin_cim @random_walker @j2bryson and many others.', ""@fatconference @red_abebe @s010n @manish_raghavan @dgrobinson @LatanyaSweeney @PopTechWorks @jovialjoy @timnitGebru @annaeveryday @niftyc @mmitchell_ai @aylin_cim @random_walker @j2bryson I learned so much from my co-authors in the course of writing this, and I'm really happy to have it out in the world! https://t.co/UgGLBleipL""]",19,12,1516