Join Open Mic and ICCR on February 12th at 11am eastern for a conversation on the impact of digital technology on low-wage workers. This discussion builds on findings from the September 2024 report, Dehumanization, Discrimination, and Deskilling: The Impact of Digital Tech on Low-Wage Workers.

Speakers will discuss how narratives about technology replacing workers overlook the complex and active ways in which workers are responding to these changes, from developing new skills to finding ways to counteract or circumvent the challenges posed by AI.

This Zoom conversation organized by Data & Society, set for March 21, 2024, will feature a discussion on trust within and outside institutions.

Moderated by D&S Principal Researcher Sareeta Amrute, panelists Chelsea Peterson-Salahuddin, Irene Solaiman, and Jason D’Cruz will explore the complexities of trust, influenced by racism, dehumanization, and opacity, particularly in data-centric environments.

This segment addresses the risks that generative AI may diminish the value of workers' contributions, particularly in creative fields.

This event delves into how generative AI might transform work and create new opportunities while simultaneously affecting different groups unequally due to societal biases and existing hierarchies.

With the upcoming meeting of the Council of Europe Committee on AI, the Center for AI and Digital Policy will host an event on "The Impact of Generative AI on Trust, Democracy, and Elections."

Join the Data & Society Research Institute on November 7th at 11 a.m. ET for a special LinkedIn Live event. This event promises a deep dive into the contents of the AI executive order, featuring a distinguished panel of experts.

Lauren M. E. Goodlad is a distinguished Professor of English at Rutgers University. She is the chair of a new interdisciplinary initiative on Critical Artificial Intelligence and as Editor-in-Chief and Co-founder of the new interdisciplinary journal Critical AI. Rita Raley is Professor of English at UC Santa Barbara and part of working group on Critical Machine Learning Studies and have recently co-edited a special issue on ‘Critical AI: A Field in Formation’.