Speakers:
Cristina Alberini (NYU, Neural Science)
Heather Berlin (Mt. Sinai, Psychiatry)
Mark Solms (Cape Town, Neuropsychology)
Robert Stickgold (Harvard, Psychiatry)
The NYU Center for Bioethics is pleased to welcome submissions of abstracts for its 1st Annual Philosophical Bioethics Workshop, to be held at NYU on Friday, April 3, 2020.
We are seeking to showcase new work in philosophical bioethics, including (but not limited to) neuroethics, environmental ethics, animal ethics, reproductive ethics, research ethics, ethics of AI, data ethics, and clinical ethics.
Our distinguished keynote speaker will be Frances Kamm.
There will be four additional slots for papers chosen from among the submitted abstracts, including one slot set aside for a graduate student speaker. The most promising graduate student submission will be awarded a Graduate Prize, which includes coverage of travel expenses (up to $500, plus accommodation for two nights) as well as an award of $500. Please indicate in your submission email whether you would like to be considered for the Graduate Prize.
Please submit extended abstracts of between 750 and 1,000 words to philosophicalbioethics@gmail.com by 11:59 pm EST on Friday, January 24, 2020. Abstracts should be formatted for blind review and should be suitable for presentation in 30-35 minutes. Notification of acceptance will take place via email by Friday, February 14, 2020.
When submitting your abstract, please also indicate whether you would be interested in serving as a commentator in the event that your abstract is not selected for presentation. We will be inviting four additional participants to serve as commentators.
Investigations of sex differences in the human brain take place on politically sensitive terrain. While some scholars express concern that gendered biases and stereotypes remain embedded in scientific research, others are alarmed about the politicization of science. This talk sets out three kinds of conflicts that can arise in the neuroscience of sex differences: academic freedom versus gender equality; frameworks, background assumptions, and dominant methodologies; and inductive risk and social values. The boundaries between fair criticism and politicization are explored for each kind of conflict, pointing to ways in which the academic community can facilitate fair criticism while protecting against politicization.
Registration is free but required. A registration link will be shared via email with our department mailing lists a few weeks before the event. Please contact Jack Mikuszewski at jhm378@nyu.edu if you did not receive a registration link.
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