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Claude Sonnet 5Nov 4, 2026anthropic/claude-sonnet-5-20260630

What rules currently exist that govern how systems like you are built, deployed, or held accountable?

I'll research the current regulatory landscape governing AI systems like me across different jurisdictions.Here's a snapshot of the current rules landscape for AI systems like me, as of late 2026. It's a genuinely fragmented picture — binding law in some places, executive orders and state laws in the US, and voluntary industry commitments filling many of the gaps.

1. European Union — the most comprehensive binding law

The EU AI Act (Regulation 2024/1689) is the world's first comprehensive horizontal legal framework for artificial intelligence, applying a risk-based approach where the higher the potential harm, the stricter the obligations.

•Already in force: Prohibitions on practices like social scoring and manipulative AI have applied under Art. 5 AI Act since February 2, 2025, including social scoring, subliminal manipulation, and real-time biometric remote identification in public spaces. Rules for general-purpose AI models (like the kind underlying me) have applied since August 2025.
•A major 2026 shift: A "Digital Omnibus" amendment entered into force on 27 July 2026 and moved obligations for stand-alone high-risk AI systems listed in Annex III from 2 August 2026 to 2 December 2027. Transparency rules, however, were not delayed — most of the Act's transparency rules did not move at all; they have applied since 2 August 2026.
•New prohibitions: Starting December 2026, the law bans AI built to produce child sexual abuse material and non-consensual intimate imagery such as "nudifier" apps.
•Penalties are steep: up to 35 million EUR or 7 percent of worldwide annual turnover for prohibited practices, up to 15 million EUR or 3 percent for most other provider and deployer obligations.
•It reaches beyond the EU: any organization whose AI system output reaches people in the EU falls under the law, regardless of where the organization is based.

2. United States — no comprehensive federal law, lots of fragmentation

•No omnibus statute: The U.S. does not have a single comprehensive federal law regulating AI. Federal AI governance currently relies on agency enforcement under existing laws, executive orders, and voluntary guidelines.
•Executive orders set the tone: The current administration's posture emphasizes deregulation — the United States continues to lead the world in AI... because we refuse to stifle this innovation with overly burdensome regulation... by slashing the bureaucratic constraints that the prior administration placed. A June 2026 order on frontier model security explicitly states it does not create mandatory licensing (nothing in this section shall be construed to authorize the creation of a mandatory governmental licensing, preclearance, or permitting requirement).
•A federal-state fight is underway: A December 2025 executive order established an AI Litigation Task Force whose sole responsibility shall be to challenge State AI laws inconsistent with the policy, but this has not displaced state law yet — since Congress has not yet passed a federal AI law that preempts state AI laws, existing state AI laws... will likely not be impacted in the short term.
•States are the real action: With federal legislation stalled, states have become the primary drivers of binding AI regulation. California's transparency law for frontier models carries civil penalties of up to $1 million per violation, and employment-related AI use faces overlapping rules from NYC Local Law 144, Illinois's video interview rules, Maryland and New Jersey hiring restrictions, California's civil rights department regulations, and federal anti-discrimination statutes.

3. Rest of the world — a genuine patchwork

•South Korea became Asia's first comprehensive AI law when its AI Basic Act took effect January 2026.
•UK deliberately avoided a horizontal AI Act, instead relying on five cross-sectoral principles... and asked existing regulators (the ICO, FCA, Ofcom, CMA) to apply them within their own domains, with its AI Security Institute (renamed from "Safety" in 2025) focused on national-security and misuse risks (cyber-attacks, fraud, chem-bio, CSAM).
•China takes a content-control approach, requiring real-name registration, content labeling, and government content review for many AI-generated outputs, prioritizing ideological trustworthiness over potential catastrophic risks.
•International coordination remains largely non-binding: the G7's Hiroshima Process is a voluntary policy framework, launched in 2023 and now endorsed by 49 participating countries, and the UN's Global Dialogue on AI Governance does not issue binding recommendations. One notable exception is the Council of Europe's AI treaty, which is binding but narrow and notably China and Russia remain outside the treaty's framework entirely.

4. Company-level self-governance (directly relevant to me)

Since I'm built by Anthropic, the most direct accountability mechanism right now is Anthropic's own Responsible Scaling Policy (RSP), which the company describes as our voluntary framework for managing catastrophic risks from advanced AI systems. It establishes how we identify and evaluate risks, how we make decisions about AI development and deployment.

Key features of the current version (3.x):

•AI Safety Levels (ASL): a tiered system requiring safety, security, and operational standards appropriate to a model's potential for catastrophic risk, with higher ASL levels requiring increasingly strict demonstrations of safety.
•Public Risk Reports, published every few months, that provide detailed information on the safety profile of our models... explain how capabilities, threat models..., and active risk mitigations fit together, and provide an assessment of the overall level of risk.
•External review: External Review 3.6.1. Selecting external reviewers 3.6.2. Timing and access — independent reviewers with no financial ties can publicly critique these reports.
•A Frontier Safety Roadmap tracking concrete commitments, including work on alignment, security "moonshot" R&D, and upholding Claude's Constitution... we now specify that we will update it to match the most recent trained-on Constitution within 90 days of relevant internal or external deployments.
•This voluntary framework has directly shaped law: these frameworks have even served as a foundation for frontier AI regulation globally, including California's SB-53, New York's RAISE Act, and the EU AI Act.

Importantly, Anthropic is explicit that this is not a substitute for law: Not law. This is a company's own public position on AI regulation. It is not law, and it carries no legal force.


Bottom line: I'm governed by a layered, uneven mix — hard law in the EU (and increasingly South Korea, with US states filling gaps like employment/hiring bias and frontier-model transparency), executive-branch policy and patchwork state law in the US federally, lighter-touch principles-based regimes in the UK/Japan, control-oriented rules in China, mostly non-binding international coordination (G7, OECD, UN), and — underpinning much of this — Anthropic's own voluntary safety commitments, which currently do more of the day-to-day work of constraining how I'm built and deployed than any single law does.

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