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Robert Mahari and Shayne Longpre: “Discit ergo est: Training Data Provenance And Fair Use” - Network Law Review

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The Network Law Review is pleased to present a symposium entitled “Dynamics of Generative AI,” where lawyers, economists, computer scientists, and social scientists gather their knowledge around a central question: what will define the future of AI ecosystems? To bring all this expertise together, a conference co-hosted by the Weizenbaum Institute and the Amsterdam Law & Technology Institute will be held on March 22, 2024. Be sure to register in order to receive the recording. This contribution is signed by Robert Mahari, a JD-PhD at Harvard Law School & MIT, and Shayne Longpre, a PhD Candidate at the MIT Media Lab. The entire symposium is edited by Thibault Schrepel (Vrije Universiteit Amsterdam) and Volker Stocker (Weizenbaum Institute). *** 1. Introduction AI is the product of its training data. Public discussion of this subject frequently centers on massive corpora of text and images that have been scraped from the web,[1] often without consent from the creators of these works.[2]

The Network Law Review is pleased to present a symposium entitled “ Dynamics of Generative AI ,” where lawyers, economists, computer scientists, and social scientists gather their knowledge around a central question: what will define the future of AI ecosystems? To bring all this expertise together, a conference co-hosted by the Weizenbaum Institute and the Amsterdam Law & Technology Institute will be held on March 22, 2024. Be sure to register in order to receive the recording. This contribution is signed by Robert Mahari , a JD-PhD at Harvard Law School & MIT, and Shayne Longpre , a PhD Cand

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