New York University’s Liberal Studies, in Collaboration with Nietzsche Circle, Presents:
Nietzsche and the Disadvantage of History: The rise of Western Oikophobia
More Info & RSVP:
If you like to attend, Please RSVP by sending email to Luke Trusso at luke.trusso@gmail.com
Abstract. The Noble Lie proposed by Plato for the Just City in Republic III has been much misunderstood. Its agenda is twofold: to get the citizens of the City to see their society as a natural entity, with themselves as all ‘family’ and akin; and to get the Guardians in particular to make class mobility, on which the justice of the City depends, a top priority. Since the second is taken to depend on the first, the Lie passage amounts to an argument (1) that the survival of a just community depends on the existence of social solidarity between elite and mass, which allows for full class mobility and genuine meritocracy; (2) that this solidarity in turn depends on an ideology of natural unity; and (3) that such ideologies are always false. So the Lie really is a lie, but a necessary one; as such it poses an awkward ethical problem for Plato and, if he is right, for our own societies as well.
Presented by SWIP-NYC
A two-day conference on the philosophy of deep learning, organized by Ned Block (New York University), David Chalmers (New York University) and Raphaël Millière (Columbia University), and jointly sponsored by the Presidential Scholars in Society and Neuroscience program at Columbia University and the Center for Mind, Brain, and Consciousness at New York University.
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