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THE COLUMBIA SOCIETY FOR COMPARATIVE PHILOSOPHY

Welcomes you to an IN-PERSON meeting:

Allison Aitken (Columbia University)

« A Case against Simple-mindedness: Śrīgupta on Mental Mereology »

With responses from Alexander Englert (Princeton University)

ABSTRACT: There’s a common line of reasoning which supposes that the phenomenal unity of conscious experience is grounded in a mind-like simple subject. To the contrary, Mādhyamika Buddhist philosophers beginning with Śrīgupta (seventh-eighth century) argue that any kind of mental simple is incoherent and thus metaphysically impossible. Lacking any unifying principle, the phenomenal unity of conscious experience is instead an ungrounded illusion. In this talk, I will present an analysis of Śrīgupta’s “neither-one-nor-many argument” against mental simples and show how his line of reasoning is driven by a set of implicit questions concerning the nature of and relation between consciousness and its intentional object. These questions not only set the agenda for centuries of intra-Buddhist debate on the topic, but they are also questions to which any defender of unified consciousness or a simple subject of experience arguably owes responses.

Thursday, September 29th, 2022
Christina Van Dyke (Barnard College)
Title “I feel it in my fingers, I feel it in my toes: Imaginative Meditation and Experience of Love in Medieval Contemplative Philosophy”
4:10-6:00 PM
716 Philosophy Hall

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.

Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.

When someone is in a conscious state, must they be aware of that state?  The Buddhist philosopher Dignāga offers a brilliant route to answering this question by leveraging the role awareness might play as a constraint on memory.  I begin by clarifying his strategy and what conclusions it might be used to establish.  Here I examine different candidate directions of explanation between consciousness and inner awareness.  I interpret the metaphor of consciousness as a lamp that lights itself, and use the metaphor to distinguish between his view and contemporary higher-order theories of consciousness.  I then turn to explain why the memory argument fails.  The first main problem is that, contrary to Dignāga’s contemporary defenders, there is no good way to use the argument to reach a conclusion about all conscious states.  The second main problem is that the proposed awareness constraint on memory is highly problematic, in tension both with ancient objections as well as current psychology.

With responses from Lu Teng (NYU Shanghai)