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.
This essay tries to develop a “black radical Kantianism” – that is, a Kantianism informed by the black experience in modernity. After looking briefly at socialist and feminist appropriations of Kant, I argue that an analogous black radical appropriation should draw on the distinctive social ontology and view of the state associated with the black radical tradition. In ethics, this would mean working with a (color-conscious rather than colorblind) social ontology of white persons and black sub-persons and then asking what respect for oneself and others would require under those circumstances. In political philosophy, it would mean framing the state as a Rassenstaat (a racial state) and then asking what measures of corrective justice would be necessary to bring about the ideal Rechtsstaat.
Response by César Cabezas Gamarra.
Presented by the German Idealism Workshop
Contact Professor Gooding-Williams for more info.
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.
Generative art made with algorithms has existed since the early days of computing in the 1960s. In recent years, a new strand of generative art has emerged: AI-generated art, which leverages the recent progress of artificial intelligence to create artworks. Unlike old-fashioned generative art, AI-generated art is not produced with an explicit set of programming instructions provided by human artists; instead, it involves training an algorithm on a dataset so that it can later produce artworks (images, music, or video clips) using its own internal parameters that have not been explicitly defined by a human. This process raises fascinating questions at the intersection of computer science, art history, and the philosophy of art. At a superficial level of analysis, AI-generated art seems to offload much of the creative impetus of art production to the machine, requiring minimal intervention from the artist. On closer inspection, however, it involves a novel process of curation at two key stages: upstream in the selection of the dataset on which the algorithm is trained, and downstream in the selection of the outputs that should qualify as artworks. Instead of replacing human artists with computers, AI-generated art can be understood as a new kind of collaboration between mind and machine, both of which contribute to the aesthetic value of the final artwork.
This seminar will bring together AI artists and philosophers to explore the significance of this new mode of art production. It will discuss the implications of AI-generated art for the definition of art, the nature of the relationship between artists and tools, the process of digital curation, and whether AI systems can be as creative as humans.
Event Speakers
- Sougwen Chung, artist and researcher
- Helena Sarin, visual artist
- Anne Spalter, digital mixed-media artist
- Katherine Thomson-Jones, Professor of Philosophy at Oberlin College
- Moderated by Raphaël Millière, Presidential Scholar in Society and Neuroscience at Columbia University
Event Information
Free and open to the public. Registration is required via Eventbrite. Registered attendees will receive an event link shortly before the seminar begins.
This event is hosted by the Presidential Scholars in Society and Neuroscience as part of the Seminars in Society and Neuroscience series.
The Center for Science and Society makes every reasonable effort to accommodate individuals with disabilities. If you require disability accommodations to attend a Center for Science and Society event, please contact us at scienceandsociety@columbia.edu or (212) 853-1612 at least 10 days in advance of the event. For more information, please visit the campus accessibility webpage.
Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.
The COVID-19 pandemic is said to be a once-in-a-century incident, and it brought to us a sense of crisis at various levels. What is a crisis, though? Can any unnerving moment or period be called a crisis, or are there different dimensions of a crisis to which we need to be attentive? Is solidarity possible after experiencing a crisis like Covid-19? Can Buddhism make any contribution to facilitating solidarity? This presentation explores the meaning and nature of a crisis and our responses to it by drawing on modern Korean political thinker Pak Ch’iu’s (1909–1949) analysis of crisis and feminist-Buddhist thinker Kim Iryŏp’s (1896–1971) Buddhist philosophy. By doing so, this presentation considers what social, political, existential, and even religious meaning we can draw from our experience of crises, and what questions these insights present to us.
With responses from Karsten Struhl (John Jay College of Criminal Justice, CUNY)
Presented by THE COLUMBIA SOCIETY FOR COMPARATIVE PHILOSOPHY
RSVP is required for dinner. If you would like to participate in our dinner, a $30 fee is required. Please contact Lucilla at lm3335@columbia.edu for further information.
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
A conference hosted by the Motherhood and Technology Working Group at the Center for the Study of Social Difference on the theme of “Conception and Its Discontents.”
Medical technologies have radically transformed the biological and social experience of motherhood. Advances in genomic and reproductive care, the circulation of novel kinship structures, the entrenchment of existing global networks of power and privilege, and the politics of contested bodily sites mark this emerging constellation.
Technological advancements have in particular impacted not just the understanding of conception, but the very process by which a human embryo is created, implanted, and matured. Egg freezing, embryo storage, IVF, and surrogacy afford women new freedoms in choosing when and how to become mothers, while also raising troubling questions about the pressures of capitalism and the extension of worklife, as well as the global inequalities present in the experience of motherhood. In addition, technologies have arisen allowing for unprecedented control over not just who becomes a mother, but what kind of embryo is allowed to be implanted and to grow. Technologies such as CRISPR and NIPT have re-introduced the question of eugenics, radically shifting the very epistemology of motherhood and what it means to be “expecting.” And contemporary abortion debates draw on technology in order to make arguments both for and against access, with imaging technologies being instrumentalized in the building of a sympathetic case for the unborn, and the very notion of a “heartbeat bill” reliant on the misreading of technologies for measuring fetal activity.
While these problems are urgent today, questions of conception and technology are by no means recent developments. The 18th century saw a flourishing of philosophical and scientific theories regarding the start of human life and its formation within the womb. Such theories relied on modern technologies, such as autopsy, to atomize and visualize the body. In the 19th and 20th centuries, eugenic medical science produced theories of reproductive difference between differing racial and social groups, leading to forced sterilization laws in both the US and in Germany. This long history of racializing the rhetoric of fertility and motherhood continues to influence political debates on immigration and demographic changes in the present.
Full conference details and schedule to come.
Please email disability@columbia.edu to request disability accommodations. Advance notice is necessary to arrange for some accessibility needs
How does the brain cope with Complexity? How do we make decisions when confronted with practically infinite streams of information?
The conference showcases cutting edge research on these questions in Neuroscience and Psychology (neural mechanisms of cognitive control, exploration, decision-making, information demand, memory and creativity), Computer Science (artificial intelligence of curiosity and intrinsic motivation) and Economics (decision making and information demand). Alongside formal presentations, the conference will encourage ample interactions among faculty, students and postdocs through informal discussions and poster presentations.
Submissions for poster presentations and travel awards are due February 15, 2023. Please visit the call for submissions for complete requirements.
Event Information
Free and open to the public. Registration is required and will open shortly. All in-person attendees must follow Columbia’s COVID-19 policies. Visitors will be asked to provide proof of COVID-19 vaccination. Online attendees will receive a Zoom link. Please email events@zi.columbia.edu with any questions.