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Generative art made with algorithms has existed since the early days of computing in the 1960s. In recent years, a new strand of generative art has emerged: AI-generated art, which leverages the recent progress of artificial intelligence to create artworks. Unlike old-fashioned generative art, AI-generated art is not produced with an explicit set of programming instructions provided by human artists; instead, it involves training an algorithm on a dataset so that it can later produce artworks (images, music, or video clips) using its own internal parameters that have not been explicitly defined by a human. This process raises fascinating questions at the intersection of computer science, art history, and the philosophy of art. At a superficial level of analysis, AI-generated art seems to offload much of the creative impetus of art production to the machine, requiring minimal intervention from the artist. On closer inspection, however, it involves a novel process of curation at two key stages: upstream in the selection of the dataset on which the algorithm is trained, and downstream in the selection of the outputs that should qualify as artworks. Instead of replacing human artists with computers, AI-generated art can be understood as a new kind of collaboration between mind and machine, both of which contribute to the aesthetic value of the final artwork.

This seminar will bring together AI artists and philosophers to explore the significance of this new mode of art production. It will discuss the implications of AI-generated art for the definition of art, the nature of the relationship between artists and tools, the process of digital curation, and whether AI systems can be as creative as humans.

Event Speakers

• Sougwen Chung, artist and researcher
• Helena Sarin, visual artist
• Anne Spalter, digital mixed-media artist
• Katherine Thomson-Jones, Professor of Philosophy at Oberlin College
• Moderated by Raphaël Millière, Presidential Scholar in Society and Neuroscience at Columbia University

Event Information

Free and open to the public. Registration is required via Eventbrite. Registered attendees will receive an event link shortly before the seminar begins.

This event is hosted by the Presidential Scholars in Society and Neuroscience as part of the Seminars in Society and Neuroscience series.

The Center for Science and Society makes every reasonable effort to accommodate individuals with disabilities. If you require disability accommodations to attend a Center for Science and Society event, please contact us at scienceandsociety@columbia.edu or (212) 853-1612 at least 10 days in advance of the event. For more information, please visit the campus accessibility webpage.

Well-being, also known as prudential value, refers to whatever makes a life non-instrumentally good for the person living it. Well-being is the object of immense practical, philosophical, and scientific concern. Assessments of well-being help to guide our decisions in everyday life, from relationships, to health decisions, to education and career choices. Well-being is increasingly the object of governmental and institutional policy, and even policies that are not aimed directly at promoting it can be evaluated in terms of their impacts on well-being. Colleges and universities routinely offer programs designed to help students maintain their well-being in the face of academic and personal stress. However, debates over the nature of well-being have raged since the beginning of philosophical inquiry, leaving us in a bad position when it comes to making headway on addressing those practical and scientific concerns. The goal of this talk is to show how the application of naturalistic methodology can help us to resolve the philosophical stalemate and thus to make progress in our practical and scientific projects relating to well-being. 

• Talk link — Email cruzdavis <at> umass.edu or jrc2266 <at> columbia.edu for the passcode