The Impacts of Big Data and AI on the Arts, Our Culture and Society

What are the implications of AI and algorithmic governance on culture and creative industries? To answer these and other questions, the Arts Management and Technology Laboratory gathered a panel of experts on campus at Carnegie Mellon University. Working across arts, media, data, and technology, panelists discuss frameworks for understanding how power flows within and between these industries.

This episode of the Tech in the Arts podcast is a recording from the program, held in April. The discussion is moderated by Lead Researcher Ian Hawthorne, and features

• Eleanor Mattern, Director of the Sara Fine Institute and a teaching assistant professor at the University of Pittsburgh's School of Computing and Information. Her teaching and research interests include archives and digital curation, community-centered information work, civic engagement, and information policy and ethics.
• Emma Slayton, Data Education Librarian at the Carnegie Mellon University Libraries. Emma is an expert in data and AI literacies, GIS, and data visualization, she helps researchers and students develop their own data stories for publication and sharing. As a social scientist, she focuses on using computer modelling to analyze big data.
• Samantha Shorey, Visiting Assistant Professor at the University of Pittsburgh. Samantha is a design researcher who studies automated technologies — such as AI and robots — in the workplace. In her research, she seeks to highlight the labor and innovation of people who are often overlooked in media narratives about new technologies.

See more at amt-lab.org