Artificial intelligence (AI) is revolutionizing work, including what it means for cooperative work to be supported by computers. The increased use of AI in Computer-Supported Cooperative Work (CSCW) can lead to many advantages, including increased productivity and efficiency, but it can also include several potential ethical trade-offs, such as invasions of privacy, loss of autonomy, and job displacement. This workshop will explore the ethical dimensions of AI in CSCW, building on Good Systems, a UT Grand Challenge. Specifically, the workshop will focus on the need to design AI to work for all users and to avoid bias through the use of universal design as well as the need for AI and CSCW researchers to interact with policy and legal experts to work together to ensure that AI will be developed in an ethical manner with sufficient consideration of its societal implications, and also that AI will be regulated and legislated in ways that will maximize its benefits to all people.
Good Systems: Ethical AI for CSCW
Austin, TX Sunday, November 10, 2019
To Participate: Please submit a 1-page position paper (PDF) on the future of AI (what it will and/or should be) via e-mail to GoodSystemsCSCW@austin.utexas.edu by August 30 (early bird) or September 30 (late breaking). Workshop registration is also required.
Ken Fleischmann, School of Information, The University of Texas at Austin
Sherri Greenberg, LBJ School of Public Affairs, The University of Texas at Austin
Danna Gurari, School of Information, The University of Texas at Austin
Abby Stangl, School of Information, The University of Texas at Austin
Nitin Verma, School of Information, The University of Texas at Austin
Jaxsen Day, School of Information, The University of Texas at Austin
Rachel Simons, School of Library & Information Studies, Texas Woman’s University
Tom Yeh, Department of Computer Science, University of Colorado Boulder