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AI, Authorship, and the Public Interest Grant Recipients

We’re delighted to announce the five recipients of our AI, Authorship, and the Public Interest grant awards. Chosen from a competitive pool of over 160 proposals, these grantees stood out for their thoughtful, innovative projects that align closely with our research priorities and our mission to serve the public interest.

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Beyond the Exception: Licensing, Access, and the Realities of Text and Data Mining in the US, UK, and Singapore

This is a post by Syn Ong, AI Policy Researcher at Authors Alliance. Authors increasingly rely on text and data mining (TDM) to analyze large corpora across disciplines. Our new working paper, Beyond the Exception: Licensing, Access, and the Realities of Text and Data Mining in the US, UK, and Singapore, finds that formal legal permissions alone do not secure usable access for TDM research. Instead, usable access turns on how statutory rules interact with private licenses, platform architectures, and technological protection measures (TPMs).

Bartz v. Anthropic: A Preliminary Look at What LibGen Books May Be Included in the Class Action

As readers are likely aware, the Bartz v. Anthropic AI lawsuit had a couple of major developments recently. Though the lawsuit was initially brought to address the legality of using copyrighted materials for training AI, the suit has now shifted its focus to Anthropic’s storage—without training use—of copies of books downloaded from LibGen and PiLiMi, two sites that share pirated copies of books and other materials.

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