Computing & Data
Artificial Intelligence & Machine Learning
Machine learning and AI research, and the fast-moving governance environment around it. Combines reproducibility challenges (compute scale, data provenance, model cards) with an unusually active policy layer — the EU AI Act, model-disclosure requirements, and evolving journal and conference policy on AI-assisted authorship.
12 pages across 1 topic areas
Frontier AI Safety & Governance
- Vietnam’s Law on Artificial Intelligence No. 134/2025/QH15
On 10 December 2025 Vietnam’s National Assembly passed Law No. 134/2025/QH15 on Artificial Intelligence, 429 votes to 5. It took effect on 1 March 202…
- Machine Unlearning and Algorithmic Disgorgement: Ordering a Model Deleted Is Not the Same as Deleting It
Since 2019 the US Federal Trade Commission has, at least six times, ordered an organisation not merely to delete data but to destroy the models built …
- C2PA Content Credentials: How Provenance Actually Works
Content Credentials are often described as a nutrition label for digital media. The metaphor oversells them. C2PA is a signed-assertion format with a …
- Inspect: The Open-Source Evaluation Harness Under Third-Party AI Evals
Almost every argument about third-party AI evaluation is an argument about access, independence and publication rights. Underneath those arguments sit…
- AI Control Evaluations: The Evidentiary Method Redwood Research Built
Most frontier AI evaluations ask what a model can do, or what it tends to do. A control evaluation asks a third question: if the model were actively t…
- Italy’s Law 132/2025: A National AI Statute Inside the EU AI Act
Regulation (EU) 2024/1689 is directly applicable in every member state, so what is left for a national AI law to do? Italy’s Law 23 September 2025 n. …
- California SB 243 (Companion Chatbots): The State’s Second AI Reporting Channel
California already has one AI reporting regime — SB 53, which routes critical safety incidents to the Office of Emergency Services. SB 243, signed a f…
- Is AI Red-Teaming Security Theater? What the Research Says
Carnegie Mellon researchers surveyed the AI red-teaming literature and analyzed six real exercises — Bing Chat, GPT-4, Gopher, two Claude releases, an…
- Incident Type: The Taxonomy No One Has Actually Published
SB 53, the EU GPAI Code, OpenAI, Anthropic, and the Frontier Model Forum each classify AI incidents differently — and only one of them names anything …
- Who Counts as ‘Frontier AI’? Eleven Scope Tests Compared
The EU AI Act never says ‘frontier model.’ SB 53’s ‘catastrophic risk’ isn’t the EU’s ‘systemic risk.’ An 11-organization crosswalk of the if-then tes…
- Capability Thresholds: 14 Labs and Regulators, One Undefined Term
Anthropic, OpenAI, and Google DeepMind all set “capability thresholds.” So do California, the EU, and the Frontier Model Forum. Almost none of them sa…
- What Is AI Safety? A Plain-Language Guide
AI safety is the field working to prevent AI systems from causing harm, whether through misuse, accidents, or loss of control. Here’s the working voca…
