The New York University Department of Philosophy will host the sixteenth in its series of conferences on issues in the history of modern philosophy on November 8 and 9, 2019. Each conference in the series examines the development of a central philosophical problem from early modern philosophy to the present, exploring the evolution of formulations of the problem and of approaches to resolving it. By examining the work of philosophers of the past both in historical context and in relation to contemporary philosophical thinking, the conferences allow philosophy’s past and present to illuminate one another.
Friday, November 8
9:00-10:00
Check-in and Continental Breakfast
10:00-12:00
Speaker: Michael Gill (University of Arizona), “Shaftesbury’s Claim That Beauty and Good Are One and the Same”
Commentator: Julia Driver (Washington University)
2:00-4:00
Speaker: Jacqueline Taylor (San Francisco University), “Hume on Humanity: Its Force and Authority”
Commentator: Rachel Cohon (University at Albany, SUNY)
4:00-4:30
Coffee Break
4:30-6:30
Speaker: Marcus Willascheck (Johann Wolfgang Goethe Universität Frankfurt am Main), “The Structure of Normative Space According to Kant“
Commentator: Janum Sethi (University of Michigan, Ann Arbor)
6:30-7:30
Reception
Saturday, November 9
9:00-10:00
Continental Breakfast
10:00-12:00
Speaker: João Constâncio (Universidade Nova de Lisboa / Nova FCSH), “Nietzsche on Normativity: Reason in the Space of Culture and Taste”
Commentator: Ariela Tubert (University of Puget Sound)
2:00-4:00
Speaker: Hannah Ginsborg (University of California, Berkeley), “Rule-Following without Rules: Wittgenstein on Normativity in Social Practice”
Commentator: Gary Ebbs (Indiana University)
4:00-4:30
Coffee Break
4:30-6:30
Speaker: Stephen Darwall, (Yale University), “Normativity in Contemporary (and the History of) Ethics”
Commentator: Nomy Arpaly (Brown University)
6:30-7:30
Reception
- Nomy Arpaly
- Rachel Cohon
- João Constâncio
- Stephen Darwall
- Julia Driver
- Gary Ebbs
- Michael Gill
- Hannah Ginsborg
- Janum Sethi
- Jacqueline Taylor
- Ariela Tubert
- Marcus Willascheck
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
The Arendt Circle meets annually to share and discuss research related to any aspect of Hannah Arendt’s work. This year’s conference will be held in person at New York University (NYU) from April 4th – April 6th with presentations in English.
Deadline for Submission: Friday, December 1st, 2023
Please submit a 750-word abstract prepared for anonymous review as a Word Document or PDF to: thehannaharendtcircle@gmail.com
– 2024 Organizing Committee
Magnus Ferguson (University of Chicago)
Valentina Moro (DePaul University and University of Verona)
Tal Correm (New York University)
Sanjana Rajagopal (Fordham University)
The official Call for Abstracts is posted here.
https://philevents.org/event/show/114362