Tag: AI safety

  • Illinois Just Passed the Nation’s Strongest AI Safety Law

    Illinois Just Passed the Nation’s Strongest AI Safety Law

    Illinois signs the nation’s strongest AI safety law, Microsoft finally lets you switch Teams AI off, and the UN convenes its first global AI governance dialogue — all in one week.


    A First-in-the-Nation Audit Requirement for Frontier AI

    On July 6, Governor JB Pritzker signed the AI Safety Measures Act (SB 315) — the strongest state AI safety framework in the country. The law targets the largest AI developers: those with more than $500 million in annual revenue training frontier-scale models.

    Covered developers must publish how their systems could pose “catastrophic risk,” submit to a first-in-the-nation annual independent third-party audit, report critical safety incidents to the state within 72 hours, and protect whistleblowers who raise safety concerns. Penalties run $1 million for a first violation and $3 million after that. The law takes effect January 1, 2028.

    The bigger picture: Illinois now joins California and New York with frontier AI safety laws — and those three states together represent roughly 40% of the U.S. AI market. In the absence of federal legislation, that’s starting to look like a de facto national standard, because no AI company builds a separate product for Illinois.

    Sources: Governor’s Office | Capitol News Illinois | WTTW

    Your organization isn’t the target of this law — the frontier labs are. But it changes what you’re allowed to expect from vendors. Within two years, the biggest AI companies will have published safety documentation and passed independent audits. That paperwork becomes something you can ask for. “Can I see your safety and audit documentation?” is about to become a perfectly normal procurement question — and the vendors worth working with will have an answer ready.


    Microsoft Backpedals — You Can Now Turn Teams AI Off

    After sustained customer pushback on aggressively auto-enabled AI features — most recently the Teams “Facilitator” that monitors meetings — Microsoft is rolling out controls that let meeting organizers switch AI features on or off during live meetings. The rollout started in early July with no changes to licensing or compliance requirements. It’s a notable U-turn from a company that has spent two years defaulting AI into everything.

    Source: Forbes

    This is customers voting with their feedback and winning. If your team meets with clients, students, or community members, “is the AI listening right now?” is a trust question, not a tech question. Now you can actually answer it — and choose. Take five minutes this week to decide what your organization’s default should be, then tell your staff. Consent beats convenience.


    The UN Held Its First Global AI Governance Dialogue

    The UN’s Global Dialogue on AI Governance met in Geneva July 6–7, where member states discussed international approaches to managing AI amid expert warnings of potential “catastrophic harm.” It followed the July 1 release of the first report from the Independent International Scientific Panel on AI — 40 experts drawn from every region of the world, tasked with giving governments a shared, evidence-based picture of AI’s capabilities and risks.

    Source: UN News

    Global bodies move slowly, and nothing binding came out of Geneva. But notice the pattern across all three stories this week: the guardrails conversation has moved from blog posts to statehouses to the UN — in the same seven days. The direction is set. What you can control today is governance at your own scale: knowing what AI tools your org uses and what decisions they touch.


    Run a 30-Minute “AI Defaults Audit”

    Microsoft’s U-turn is your reminder: AI features are being switched on for you. This week, list the three or four platforms your organization lives in — Teams or Zoom, your email suite, your CRM or donor database. For each one, check which AI features are enabled by default (meeting summaries, transcription, smart replies, data analysis). Then make one decision per tool: keep it on, turn it off, or turn it on for some people only. Write the decisions in a shared doc and tell your team. Thirty minutes, and your organization’s AI posture becomes something you chose — not something that shipped in an update.


    109

    AI laws enacted by U.S. states as of July 1, 2026, per TechPolicy.Press

    ~40%

    of the U.S. AI market covered by the Illinois, California & New York safety laws combined

    $3M

    penalty for repeat violations under Illinois’s new AI Safety Measures Act


    If you’re wondering how to get your organization AI-ready without the overwhelm, let’s talk. Book a free 20-minute strategy session with Warren — no pitch, just practical insights for your context.

    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, July 2026

  • The Safety-Locked Frontier — What Anthropic’s Week Means for Your Procurement


    The Safety-Locked Frontier — What Anthropic’s Week Means for Your Procurement

    Stack three Anthropic events and a June executive order, and the question your AI vendors must answer changes from “how smart is your model?” to “which safety architecture does it implement?”


    § The Trend

    The Safety-Locked Frontier Arrives

    This was the week the frontier-AI governance stack stopped being theoretical. June 9: Anthropic shipped Claude Fable 5 with built-in safety locks that refuse high-risk requests and fall back to a smaller model (Anthropic). June 10: CEO Dario Amodei published “Policy on the AI Exponential,” explicitly endorsing binding government authority to block frontier model releases (Anthropic; GovInfoSecurity). June 12: Anthropic pulled Fable 5 and Mythos 5 from Amazon Bedrock to comply with a new US government export-control directive (TIME, June 13).

    Stack those on top of the June 2 Executive Order (covered Edition 028) and what you have is the first complete picture of how frontier AI will actually be governed in the United States: four overlapping safeguard layers — voluntary federal review, model-level capability gating, export controls, and lab Responsible Scaling Policies. Each one is a procurement question. Together, they replace the “which model is smartest?” question with a harder one: which safety architecture matches the risk profile of our work?


    § What It Means for Mission-Driven Orgs

    For nonprofits, schools, and small businesses, the practical impact is not in the headlines — it is in the questionnaires your AI vendors will start sending you, and the ones you should be sending them. A school district subject to FERPA will need to know which capability tier its vendor’s model implements. A nonprofit that operates in multiple countries will need to know whether export-control determinations affect their international subsidiaries’ access. A small business handling customer health data will need to confirm what their vendor’s model refuses to do — because “the model just shouldn’t” is no longer an answer; the safeguard either fires or it doesn’t.

    The pivot is simple but consequential: through 2025, AI procurement was a capability conversation — “can it do this task well enough?” Starting this week, it is a safety-architecture conversation — “does its refusal behavior, its export status, and its scaling policy match our risk profile?” If the people who run your IT or operations function do not yet have a place in their vendor file for those three answers, this is the weekend to make one.


    Strategic Question of the Week

    Which of your current AI vendors can tell you — in one paragraph each — (a) what their model refuses to do, (b) which US export-control determinations apply to it, and (c) what version of their Responsible Scaling Policy is in effect?

    If you cannot answer that for at least your top three AI vendors, you have a homework assignment for July. Start with the one with the most access to your data.


    § Weekend Read

    “Policy on the AI Exponential” by Dario Amodei, CEO of Anthropic — published June 10, 2026. Twenty-five pages. It is the clearest articulation yet of how an industry leader believes frontier AI should be governed: four catastrophic-risk categories (biological, cyber, loss-of-control, automated R&D), quantitative thresholds for binding regulation (>10^25 FLOPs of training compute, >$500M AI revenue, or >$1B AI R&D spending), and explicit government authority to block high-risk releases.

    You don’t have to agree with everything in it to use it as a procurement reference. Bring the four risk categories to your next AI vendor call.


    A note on today’s date: Juneteenth is a federal holiday in the United States — a civic moment for reflection on freedom and what it asks of those in positions to shape institutions. Whatever your work this weekend, may it include some rest.

    If your fall planning needs to take the new safety-architecture procurement standard seriously and you’d like a thinking partner — I’m still running free 20-minute strategy sessions this month for nonprofit, school, and small-business leaders.


    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, June 2026