The universe plausibly has an infinite future and an infinite past. Given unlimited time, every qualitative state that has ever occurred will occur again, infinitely many times. There will thus exist in the future persons arbitrarily similar to you, in any desired respects. A person sufficiently similar to you in the right respects will qualify as literally another incarnation of you. Some theories about the nature of persons rule this out; however, these theories also imply, given an infinite past, that your present existence is a probability-zero event. Hence, your present existence is evidence against such theories of persons.
Vegan reception to follow.
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 Center for Philosophy of Religion at Rutgers University is pleased to host an in-person, working-papers conference on the Psychology and Epistemology of Religious Experience. We are seeking abstracts (150-350 words) from those interested in participating. The tentative date is 15-16 April 2023. And the deadline for submission is 28 February 2023. Participants with accepted submissions will be given hotel accommodations and a modest honorarium to help defray travel costs.
Theme
The overall theme of the workshop is the Psychology and Epistemology of Religious Experiences. Philosophers of religion frequently assign religious experiences important epistemic roles, such as justifying religious beliefs. But religious experiences of the kind philosophers are interested in are also studied in other fields as well, such as psychology and religious studies. However, the psychology and epistemology of religious experiences are presumably not independent; studying them together is likely to be insightful in various ways. To that end, we are interested in bringing together scholars working on the psychology and epistemology of religious experiences. Potential topics include:
· The nature of religious experiences
· Taxonomies of religious experiences
· Potential psychological mechanisms and accounts of religious experience
· The relation between perception and religious experiences
· The epistemology of religious experience
· The interactions between the psychology and epistemology of religious experience
· The relation of cognitive science of religion to religious experience
Any proposed papers on these topics, or similar ones, are welcome. Papers exploring interdisciplinary approaches are also welcome.
Instructions
Please submit an abstract (150-350 words), long abstract (350-650 words), or full paper to Timothy Perrine at tp654@scarletmail.rutgers.edu. Submission should be prepared for blind review. In a separate document please provide your name, institutional affiliation (if applicable), and contact information. Submission deadline is 28 February; acceptances will be decided by 5 March; and the workshop will be held 15-16 April.
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