How can we know what it’s like to be someone else? Classical Indian philosophers found the answer in theater, arguing that it’s not just a form of entertainment, but a source of knowledge of other minds. In this talk, I’ll explore how this theme is developed in Śrī Śaṅkuka (c. 850 CE) and examine the reasons his views were rejected in the later tradition. I’ll argue that those reasons are unsound, and that we can see why by turning to contemporary studies of the relationship between knowledge and luck.
Jonardon Ganeri is the Bimal. K. Matilal Distinguished Professor of Philosophy at the University of Toronto. He is a philosopher whose work draws on a variety of philosophical traditions to construct new positions in the philosophy of mind, metaphysics and epistemology. His books include Attention, Not Self (2017), a study of early Buddhist theories of attention; The Concealed Art of the Soul (2012), an analysis of the idea of a search for one’s true self; Virtual Subjects, Fugitive Selves (2020), an analysis of Fernando Pessoa’s philosophy of self; and Inwardness: An Outsiders’ Guide (2021), a review of the concept of inwardness in literature, film, poetry, and philosophy across cultures. He joined the Fellowship of the British Academy in 2015, and won the Infosys Prize in the Humanities the same year, the only philosopher to do so.
This series is curated and co-presented by Brooklyn Public Philosophers, aka Ian Olasov.
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.
A prominent logician Melvin Fitting has turned 80. This hybrid conference is a special event in his honor.
Melvin Fitting was in the departments of Computer Science, Philosophy, and Mathematics at the CUNY Graduate Center and in the department of Mathematics and Computer Science at Lehman College. He is now Professor Emeritus. He has authored 11 books and over a hundred research papers with staggering citation figures. In 2012, Melvin Fitting was given the Herbrand Award by the Conference on Automated Deduction (CADE) for distinguished contributions to the field. In 2019, Professor Fitting received a Doctor Honoris Causa (an Honorary Doctorate) from the University of Bucharest.
Greetings, congratulations, photos for posting, and ZOOM link requests could be sent to Sergei Artemov by sartemov@gmail.com or sartemov@gc.cuny.edu.
Conference website https://sartemov.ws.gc.cuny.edu/fitting-at-80/
Program (the times are given in the Eastern Day Time zone EST). In-person location: CUNY Graduate Center, rm. 3310-B.
January 28, Saturday
8:00-8:45 am Arnon Avron (Tel Aviv), “Breaking the Tie: Benacerraf’s Identification Argument Revisited”
8:45-9:30 am Junhua Yu (Beijing), “Exploring Operators on Neighborhood Models”
9:30-9:45 am Break
9:45-10:30 am Sara Negri (Genoa), “Faithful Modal Embedding: From Gödel to Labelled Calculi”
10:30-11:15 am Heinrich Wansing (Bochum), “Remarks on Semantic Information and Logic. From Semantic Tetralateralism to the Pentalattice 65536_5”
11:15-11:30 am Break
11:30 am -12:15 pm Roman Kuznets (Vienna), “On Interpolation”
12:15-1:00 pm Walter Carnielli (Campinas), “Combining KX4 and S4: A logic that encompasses factive and non-factive evidence“
1:00-1:15 pm Break
1:15-2:00 pm Eduardo Barrio and Federico Pailos (Buenos Aires), “Meta-classical Non-classical Logics”
2:00-2:45 pm Graham Priest (New York), “Jaśkowski and the Jains: a Fitting Tribute”
2:45-4:00 pm Session of memories and congratulations featuring Sergei Artemov, Anil Nerode, Hiroakira Ono, Melvin Fitting, and others.