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
Over the last decades, the humanities have come under pressure from the scientific worldview. To many, it seems as if the humanities provide us at best with less-than-objective knowledge claims. Arguably, there are at least two overall reasons for this. On the one hand, the scientific worldview tends to associate objectivity with the kind of knowledge-acquisition, explanation, and justification characteristic of the natural sciences. On the other hand, the humanities themselves have contributed to the impression that they might be less relevant than the natural sciences to epistemic progress due to internal problems having to do with the very concept(s) of knowledge, reality and objectivity.
New Realism is a term for a whole series of current trends in philosophy that has important consequences for our understanding of knowledge in general. In particular, it reshapes our account of the human being qua source and object of knowledge claims. In this context, New Realism draws on a crucial indispensability thesis: we simply cannot eliminate the standpoint from which humans gather information about human and non-human reality alike from our account of reality itself. In light of this thesis, it turns out that the humanities are fully-fledged contributions to objective knowledge about reality – a fact we cannot ignore without succumbing to illusion. Against this background, the talk concludes that the so-called “scientific worldview” is untenable: it is built upon a denial of knowledge we actually possess, and so, by not being scientific enough, it fails to respect its own premises.
About the speaker:
Markus Gabriel holds the chair in epistemology, modern and contemporary philosophy at the University of Bonn. He is the director of the International Center for Philosophy and the multidisciplinary Center for Science and Thought. With Jocelyn Benoist he also directs Bonn-Paris Center for Research on New Realisms. His work focuses on contemporary philosophy, in particular epistemology and ontology, in an attempt to spell out the consequences of various trends in philosophy in a conversation with the humanities. Currently, he is working on a book called Fictions which deals with topics at the intersection of philosophy, literary studies and sociology.
The NYU Department of German and Deutsches Haus at NYU present “Objectivity and the Humanities – Prospects for a New Realism,” a talk by Professor Markus Gabriel.
Attendance information:
Events at Deutsches Haus are free of charge. If you would like to attend this event, please send us an email to deutscheshaus.rsvp@nyu.edu. Space at Deutsches Haus is limited; please arrive ten minutes prior to the event. Thank you!
“Objectivity and the Humanities – Prospects for a New Realism” is a DAAD-supported event.
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
Yejin Choi is Wissner-Slivka Professor and a MacArthur Fellow at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She is also a senior director at AI2 overseeing the project Mosaic and a Distinguished Research Fellow at the Institute for Ethics in AI at the University of Oxford. Her research investigates if (and how) AI systems can learn commonsense knowledge and reasoning, if machines can (and should) learn moral reasoning, and various other problems in NLP, AI, and Vision including neuro-symbolic integration, language grounding with vision and interactions, and AI for social good. She is a co-recipient of 2 Test of Time Awards (at ACL 2021 and ICCV 2021), 7 Best/Outstanding Paper Awards (at ACL 2023, NAACL 2022, ICML 2022, NeurIPS 2021, AAAI 2019, and ICCV 2013), the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016.
Join us for a special live taping of the Clearer Thinking podcast. Host Spencer Greenberg and guest Jeff Sebo will discuss the moral status of insects and AI systems, as well as other thorny questions in global priorities research.
About the speakers
Jeff Sebo is Associate Professor of Environmental Studies, Affiliated Professor of Bioethics, Medical Ethics, Philosophy, and Law, Director of the Animal Studies M.A. Program, Director of the Mind, Ethics, and Policy Program, and Co-Director of the Wild Animal Welfare Program at New York University. He is the author of Saving Animals, Saving Ourselves (2022) and co-author of Chimpanzee Rights (2018) and Food, Animals, and the Environment (2018). He is also an executive committee member at the NYU Center for Environmental and Animal Protection, a board member at Minding Animals International, an advisory board member at the Insect Welfare Research Society, a senior research fellow at the Legal Priorities Project, and a mentor at Sentient Media.
Spencer Greenberg is an entrepreneur and mathematician with a focus on improving human well-being. He’s the founder of ClearerThinking.org, which provides 70 free, digital tools to help people make better decisions and improve their lives, as well as the host of the Clearer Thinking podcast. Spencer is also the founder of Spark Wave, an organization that conducts psychology research and builds psychology-related products designed to help benefit the world. He has a Ph.D. in applied math from New York University, with a specialty in machine learning, and his work has been featured by numerous major media outlets, including The Wall Street Journal, the Independent, the New York Times, Gizmodo, and more.
Thank you to Effective Altruism New York City for their generous support of this event.