Artificial Intelligence and Inequality: An Intersectional Approach
Annual Meeting of the Academy of Management (AOM 2024)
Session Number: 42 (17593)
PDW (workshop) - Friday, August 9, 2024 at 8am in Marriott: Watertower
Please register to attend: https://cdmcd.co/QGdJRB
Organizers:
Ram Mahalingam
University of Michigan, Ann Arbor, USA
Akhil S G
Case Western Reserve University, USA
Elisabeth K. Kelan
University of Essex, United Kingdom
Pratyush Bharati
University of Massachusetts, Boston, USA
Mika Omori
Ochanomizu University, Japan
In this PDW, we explore whether our community or discipline is prepared to analyze the negative impacts and repercussions caused by AI and initiate a public discussion on the matter. And if we are doing so, how do we problematize the AI harms by challenging the very assumptions of our current theoretical positioning? The challenges posed by AI systems need to be addressed beyond questions of gender, race, and class by treating these inequality regimes intersectional to compose new research agendas when the prominent discourse in AI centers around the paradoxical notion of augmentation and automation. We need to ask what kinds of jobs and who among us will be subjected to this disruption and, if so, how that impact will be felt across different strata of society. The PDW will engage in these topics and share where the topics are and the possibilities of moving forward.
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Pratyush Bharati
Professor
University of Massachusetts
Boston MA
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