... Protection for Generative Models .” Windows on Theory , February 21 . https://windowsontheory.org/2023/02/21/provable-copyright-protection-for-generative-models/ . Benabou, Valérie-Laure , and Séverine Dusollier . 2007 . “ Draw Me a Public Domain .” In Copyright Law: A Handbook...

... general intelligence has provoked wide-ranging debates in the public, politics, and the corporate world involving technologists and ethicists from a range of academic disciplines. This thinkpiece proposes a metaperspective to reflect critically and constructively upon the current state of the field of AI...

..., notice, guidance, and appeal structures for students. [email protected] Copyright © 2024 Kathryn Conrad 2024 privacy data surveillance ethics educators Generative AI 1 fully came to the attention of the public in 2022, first through the coverage of the improvement in large image...

... share the understanding of interdisciplinary research as a powerful tool for building accountable technology in the public interest. Critical AI studies aims to shape and activate conversations in academia, industry, policymaking, media, and the public at large. The long and ongoing history of “AI...

... is this school of thought that you can control people's activities in the built environment and reduce so-called criminality by making public space inhospitable to certain types of people and bodies, typically Black, brown, queer, and/or disabled bodies. They're saying we shouldn't participate in that. You can...

... transdisciplinary research public humanities machine learning large language models expertise Rapidly developing large language models (LLMs) have prompted fears ranging from plagiarism to a takeover of the planet by sentient technologies. Responding to the furor, President Biden held several high-profile...

... investments in Big Tech. As Sarah Pink compellingly argues in her “Extractivism Ethics,” such economies of virtue expand the extractivism of digital capitalism to the domain of public trust and moral values and in so doing sustain “the anticipatory visions of capitalism” and its hold on everyday life (43...

...” (Naughton 2023 ; Doctorow 2024 ), and leave educators to struggle to preserve student learning (Goodlad and Conrad 2024). “Unicorn” start-ups in trendy domains such as “voice cloning,” a mode of DL associated with deepfakes and fraud (Confino 2024 ), raise the question of how much malfeasance the public...

...James Smithies [email protected] Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition . By Wendy Hui Kyong Chun . Cambridge, MA : MIT Press , 2021 . 344 pp. Copyright © 2023 Duke University Press 2023 Public discourse over AI has...

... preclearance regulatory analogy comes from the domain of pharmaceutical products. Commentators such as Andrew Tutt ( 2016 ) have urged that technology developers should submit their AI models and data sets for rigorous and compulsory evaluation. Just as drugs undergo extensive clinical trials to assess...

... for) a seamless and inevitable journey from data to monetizable domain knowledge and useful services. Perhaps the classic application of that critical data-studies framework is Marion Fourcade and Kevin Healy's influential 2017 essay, “Seeing Like a Market,” which advances a comprehensive account of how value...

... as responsible to and engaged with a broader public. [email protected] [email protected] [email protected] Copyright © 2024 Matthew Stone, Lauren M. E. Goodlad, and Mark Sammons 2024 17. The grammatical basis for linguistic similarity is clear from the partially...

... a practical need for accurate data that many machine learning (ML) researchers in our own time also express. It is all the more striking then that data —the substrate for ML's predictive patterns—seldom comes up in the public-facing discourse of the most influential players in “AI.” Consider Stanford...

... objectives or suppressed and distorted if not. This article focuses on a sixth problem with AI, which is that the term intelligence misstates the actual status and effects of the technologies in question. To help fill the gap in rigorous uses of “intelligence” in public discussion, it analyzes Brian Cantwell...

... 2015 ). Offering a celebratory public account of the experimental development of machine vision, Li's talk centers on her creation of the object recognition dataset ImageNet, which became a pivotal benchmark and breakthrough in the shift toward data-driven machine learning. To emphasize the scale...