Calendar – Blog of Noah Greenstein

Philosophy and Anarchy: Anatomy of a Disavowal. Catherine Malabou @ La Maison Française

Feb 10 @ 7:00 pm – 8:30 pm

“The issue of anarchy is at once metaphysical and political. Nevertheless, (French) philosophy and politics have always turned their backs on each other when defining it. One of the fundamental motivations of my lectures is to understand the reason of such a non-dialogue.

Different, sometimes contradictory, signs are making manifest the necessity of a new interrogation on anarchy in the current global political situation, far beyond the idea of a violent strategy against the State. How are we to understand and interpret those signs?”

– Catherine Malabou

Catherine Malabou is a Professor in the Philosophy Department at the Centre for Research in Modern European Philosophy (CRMEP) at Kingston University, at the European Graduate School, and in the department of Comparative Literature at the University of California Irvine, a position formerly held by Jacques Derrida.

Her last books include Morphing Intelligence, From IQ To IA, CUP (2018), Before Tomorrow: Epigenesis and Rationality (Cambridge: Polity Press, 2016, trans. Carolyn Shread), Self and Emotional Life: Merging Philosophy, Psychoanalysis, and Neuroscience (with Adrian Johnston; New York: Columbia University Press, 2013); with Judith Butler, You Be My Body For Me, For, Corporeity, Plasticity in Hegel’s Phenomenology of Spirit (London: Blackwell, 2012).

In English

Sponsored by Department of French Literature, Thought, and Culture

About

The conference will explore current issues in AI research from a philosophical perspective, with particular attention to recent work on deep artificial neural networks. The goal is to bring together philosophers and scientists who are thinking about these systems in order to gain a better understanding of their capacities, their limitations, and their relationship to human cognition.

The conference will focus especially on topics in the philosophy of cognitive science (rather than on topics in AI ethics and safety). It will explore questions such as:

What cognitive capacities, if any, do current deep learning systems possess?
What cognitive capacities might future deep learning systems possess?
What kind of representations can we ascribe to artificial neural networks?
Could a large language model genuinely understand language?
What do deep learning systems tell us about human cognition, and vice versa?
How can we develop a theoretical understanding of deep learning systems?
How do deep learning systems bear on philosophical debates such as rationalism vs empiricism and classical vs. nonclassical views of cognition.
What are the key obstacles on the path from current deep learning systems to human-level cognition?

A pre-conference debate on Friday, March 24th will tackle the question “Do large language models need sensory grounding for meaning and understanding ?”. Speakers include Jacob Browning (New York University), David Chalmers (New York University), Yann LeCun (New York University), and Ellie Pavlick (Brown University / Google AI).

Conference speakers

Cameron Buckner (University of Houston)
Rosa Cao (Stanford University)
Ishita Dasgupta (DeepMind)
Nikolaus Kriegeskorte (Columbia University)
Brenden Lake (New York University / Meta AI)
Grace Lindsay (New York University)
Tal Linzen (New York University / Google AI)
Raphaël Millière (Columbia University)
Nicholas Shea (Institute of Philosophy, University of London)

Call for abstracts

We invite abstract submissions for a few short talks and poster presentations related to the topic of the conference. Submissions from graduate students and early career researchers are particularly encouraged. Please send a title and abstract (500-750 words) to phildeeplearning@gmail.com by January 22nd, 2023 (11.59pm EST).

https://philevents.org/event/show/106406