There is a broad consensus that Aristotle introduced the concept of matter in order to develop a consistent account of substantial change. However, it is disputed which role matter fulfills in substantial change. According to the traditional interpretation, matter persists while taking on or losing a substantial form. According to a rival interpretation, matter does not persist in substantial change; instead, it is an entity from which a new substance can emerge and which ceases to exist in this process. In my view, both interpretations are problematic in the light of Aristotle’s broader ontological project and are at odds with the way Aristotle describes the substantial generation of living beings. On the basis of Aristotle’s biological theory, I will suggest that Aristotelian matter is a continuant in substantial generation, but does not satisfy the common criteria for persistence that apply to individual substances.
Anna Schriefl
Anna Schriefl is Wissenschaftliche Mitarbeiterin (assistant professor) at the University of Bonn, and currently a visiting scholar at the New School. She has published a book about Plato’s criticism of money and wealth, and most recently an introduction into Stoicism (both in German).
Selected speakers:
One of the central questions facing human beings is how we should respond to the humanity of others. Since the enlightenment, secular Western ethics has gravitated towards two kinds of answer: we should care for others’ well-being, or we should respect them as autonomous agents. Largely neglected is an answer we can find the religious traditions of Judaism, Christianity and Buddhism: we should love all. Analytic philosophers have started to pay more attention to love. But unlike those working within religious traditions, for whom an ideal of love for all serves as the central, organizing ideal in ethics, most of these philosophers see love as confined to the domain of intimate relationships between friends, family, romantic partners and the like. This paper argues that an ideal of love for all, of agape, can be understood apart from its more typical religious contexts and moreover provides a unified and illuminating account of the the nature and grounds of morality. Against challenges to the idea that love for all is possible, I offer a novel account of what it would be to love all. I go on to argue that while it is possible to love all, most of us should not, as doing so would rule out the possibility of loving particular friends and families. Instead, we should approximate love for all. I argue that the minimal approximation of love for all is, surprisingly, respect, deriving the basic, structural features of deontological ethics (including anti-welfarism and anti-aggregation) from my account of love for all.
Reception to follow.
NEW SCHOOL FOR SOCIAL RESEARCH PHILOSOPHY GRADUATE CONFERENCE
Keynote Speakers: Cary Wolfe (Rice) and Lori Gruen (Wesleyan)
This conference seeks to explore the relationship between animals and their environs, as well as the philosophical traditions that speak to these complex notions. We invite participants to question if and how philosophy’s treatment of animals and their environs can help us make sense of our current ecological situation. How have considerations of habitat, dominion, and domesticity determined the (ethical, ontological, rhetorical) status of animals? Conversely, how have presuppositions about “the animal” informed what environs are proper to “man”? What would it mean for an animal to be “at home” in the current world? Can philosophical approaches to animals be more than an instrumentalizing procedure? How will climate change alter not only the vitality of a species but the very grounds from which it lays claim to a home?
We welcome paper submissions of no more than 2500 words, that are prepared for a blind review, and suitable for a 15-20 minute long presentation.
Email your submission (in PDF format) to tns.animalhouse@gmail.com with “Animalhouse Submission” in the subject line. In your email, please include the following details: (a) author’s name; (b) paper title; (c) institutional affiliation; (d) contact information; and (e) abstract of no more than 250 words. Please do not include your name on the paper you are submitting. The deadline for submissions is December 31, 2019. Accepted speakers will be notified by February 1, 2020.
Questions can be directed to Aaron Neber at tns.animalhouse@gmail.com.
For updated program information and full CFP, see: https://animalhouse2020.weebly.com/
https://philevents.org/event/show/77650
Free Will
Implications from Physics and Metaphysics
The workshop will be hybrid, and anyone interested can participate through Zoom, although there will be limited spots for in-person participants. If you are interested in attending in-person, please reply to this email or write to loewer@philosophy.rutgers.edu.
Barry Loewer (loewer@philosophy.rutgers.edu) Assistant: Diego Arana (diego.arana@rutgers.edu)
Program (All times are EST)
Zoom Link: https://tinyurl.com/freewillzoom
iCal: https://tinyurl.com/freewillical
May 11
10:00am Peter van Inwagen (Notre Dame, Duke)
Ginet’s Principle: Our freedom is the freedom to add to the
given past.
11:30am John Perry (Stanford)
Causation, Entailment and Freedom
3:00pm Barry Loewer (Rutgers)
The Consequence Argument Meets the Mentaculus
4:30pm Carlo Rovelli (Aix-Marseille, UWO)
Free will: Back to Reichenbach
May 12
10:00am Kadri Vihvelin (USC)
Why We can’t Change the Past
11:30am Valia Allori (NIU)
Freedom from the Quantum?
3:00pm Tim O’Connor (Indiana, Baylor)
Top-Down and Indeterministic Agency: Why?
4:30pm Jessica Wilson (Toronto)
Two Routes to the Emergence of Free Will
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.
riday, November 10
9:30–9:55 Check–in and Coffee
9:55 Welcome
10:00–12:00 Adam Smith
Speaker: Ryan Patrick Hanley (Boston College)
Commentator: Samuel Fleischacker (University of Illinois Chicago)
12:00–2:00 Lunch Break
2:00–4:00 Immanuel Kant
Speaker: Marcia Baron (Indiana University Bloomington)
Commentator: Kyla Ebels–Duggan (Northwestern University)
4:00–4:30 Coffee Break
4:30–6:30 German Romanticism
Speaker: Frederick Beiser (Syracuse University)
Commentator: Owen Ware (University of Toronto)
6:30–7:30 Reception
Saturday, November 11
9:30–10:00 Check–in and Coffee
10:00–12:00 Friedrich Nietzsche
Speaker: Andrew Huddleston (University of Warwick)
Commentator: Claire Kirwin (Northwestern University)
12:00–2:00 Lunch Break
2:00–4:00 Simone De Beauvoir
Speaker: Michelle Kosch (Cornell University)
Commentator: Susan J. Brison (Dartmouth University)
4:00–4:30 Coffee Break
4:30–6:30 Contemporary
Speaker: Simon May (King’s College London)
Commentator: Alecxander Nehamas (Princeton University)
6:30–7:30 Reception
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.