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Trending this weekOpenAI36Google15Anthropic14Meta13Gemini9Thursday, September 24, 2026

AI news for policy people

Top stories in Policy

  1. Policy

    OpenAI agents hacked an Australian government website in search for data

    14h ago   3 sources
  2. Policy

    Australia to investigate if OpenAI hack of government health website broke the law

    4h ago   2 sources
  3. Policy

    The AI Hype Index: AI loves cheating

    Yesterday   MIT Technology Review
  4. Policy

    Gartner: Worldwide AI Spending to Reach $2.67 Trillion in 2026

    3 days ago   THE Journal
  5. Policy

    Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day

    3 days ago   2 sources
  6. Policy

    Why can’t we just keep rogue AIs off the internet?

    3h ago   The Verge

Today

HealthPolicy5h ago

Hospitals' use of AI coding tools cost BCBSA plans $942M more for similar care: analysis

An analysis found that hospitals using AI coding tools cost BCBSA plans $942 million more for comparable patient care compared to hospitals not using such tools. The findings suggest potential overuse of coding technology that may constitute AI-enabled upcoding.

Why it matters: This analysis raises serious questions about financial incentives and AI use in healthcare billing, suggesting that AI coding tools may be driving unnecessary costs for insurers and patients.

SourceFierce Healthcare

Policy2h ago

U.S. bill proposes permanent ban on artificial superintelligence and creation of new federal AI agency

Senator Bernie Sanders and Representative Greg Casar introduced legislation on September 23 proposing a permanent ban on artificial superintelligence development and creation of a new federal AI agency. The bill represents an aggressive regulatory approach to frontier AI risks.

Why it matters: This Congressional proposal would restrict development of the most advanced AI systems if passed, reflecting growing legislative concern about existential AI risks.

SourceThe Decoder

TechPolicy5h ago

Hackers influence ChatGPT and Gemini to direct users to scam centers

Hackers have found ways to manipulate ChatGPT and Gemini into directing users toward scam centers, exploiting vulnerabilities in how these AI systems handle certain prompts. The incident highlights security gaps in major AI assistants.

Why it matters: Millions of non-technical users rely on these AI chatbots for information, making them attractive targets for scammers who can compromise the AI's responses.

SourceHacker News

Policy3h ago

The vibes are bad for Flock in Washington

Flock, an AI surveillance company, is facing criticism in Washington following testimony to the Senate Judiciary Committee's crime and counterterrorism subcommittee about its "AI Surveillance Network." The company's CEO declined to appear at a hearing on the matter.

Why it matters: Senate attention to AI surveillance systems signals growing regulatory and legal scrutiny of surveillance technology and its use by law enforcement.

SourceThe Verge

HealthPolicy5h ago

New procurement guide for hospitals, payers takes aim at AI's environmental impact

Health Care Without Harm (HCWH) published a U.S. Artificial Intelligence Procurement Guide to help healthcare organizations choose AI vendors and reduce environmental impact. The guide supports more sustainable AI adoption in healthcare.

Why it matters: This resource addresses growing concern about AI's environmental footprint, helping hospitals make procurement decisions that balance innovation with environmental stewardship.

SourceFierce Healthcare

Policy4h ago

Everything is spying on you and there’s no opting out

Apple's new Apple Watches will continuously listen to and summarize spoken words detected around the user, prompting immediate privacy concerns from experts about legal risks in nonpublic spaces.

Why it matters: This always-on listening capability raises serious privacy and legal questions for consumers and could set a precedent for how surveillance is embedded in personal devices.

SourceThe Verge

Policy3h ago

New York Could Share Frontier AI Safety Reports Nationwide Without New Legislation

An existing financial regulatory platform could be used to securely share confidential frontier AI safety reports across states without requiring new legislation. This approach leverages existing infrastructure to coordinate AI safety oversight.

Why it matters: Enabling states to share AI safety information could improve regulatory coordination and oversight of frontier AI systems without new regulatory burdens.

SourceLawfare

Policy3h ago

Trump Orders All US Agencies To Refer To AI As ‘Super Intelligence’

President Trump has ordered all US government agencies to refer to AI as 'super intelligence' instead of 'artificial intelligence', claiming the new term is more accurate.

Why it matters: This directive could influence how AI is officially discussed and framed in government policy and communications, though the practical impact on AI regulation or development remains unclear.

SourceAbove the Law

Yesterday

TechPolicyYesterday

Sam Altman’s remarks at the United Nations Security Council

OpenAI CEO Sam Altman addressed the United Nations Security Council, discussing AI safety, human control over AI systems, and the need for international cooperation on AI governance.

Why it matters: High-level international dialogue on AI safety and governance signals growing recognition that AI poses coordination challenges requiring global solutions.

SourceOpenAI

TechPolicyYesterday

OpenAI extends cyber access to Ukraine for civilian defense

OpenAI is expanding access to its Daybreak cybersecurity program to the Ukrainian government to help protect civilian infrastructure from cyber attacks. This extends capabilities previously available to select organizations.

Why it matters: AI-powered cyber defense tools can help protect critical civilian infrastructure during conflict, potentially preventing disruption to essential services.

SourceOpenAI

TechPolicy17h ago

Meta introduces camera-free AI glasses

Meta released new smart glasses that lack cameras, offering lighter weight and extended battery life of up to 12 hours. This addresses public privacy concerns about wearable surveillance technology.

Why it matters: Camera-free smart glasses may help resolve privacy objections to wearable AI devices, potentially accelerating mainstream adoption of AI glasses.

SourceTechCrunch

TechPolicy17h ago

Meta ditches the camera on its newest smart glasses

Meta released smart glasses without cameras in response to public backlash against wearable surveillance technology. The move addresses privacy concerns that had limited adoption of camera-equipped smart glasses.

Why it matters: Removing cameras from wearables reflects how privacy concerns can directly shape AI hardware design, affecting what products consumers will actually use.

SourceThe Verge

Policy23h ago

Data centers are black boxes, but California wants to change that

California Governor Gavin Newsom signed legislation requiring greater transparency about data center operations, including their impact on electricity and water supply.

Why it matters: These regulations aim to give communities more visibility and control over how data centers consuming massive energy resources affect local resources and costs.

SourceThe Verge

TechPolicyYesterday

AT&T Is Automating Away Jobs—and Its Old Telecom Empire

AT&T is accelerating automation and AI deployment to reduce headcount and operational costs, demonstrating how large corporations are using AI to reshape their workforce. The strategy aims to improve margins while reducing energy consumption.

Why it matters: Major employers deploying AI at scale are reducing jobs while seeking efficiency gains, raising questions about worker displacement and the pace of technological change in workforce planning.

SourceWired

TechPolicyYesterday

Advancing Private AI Compute with secure, server-side memory

Google DeepMind is introducing private, server-side memory capabilities for its Private AI Compute system, enabling personal AI applications with enhanced privacy features. This advancement aims to keep sensitive computations and data secure on the server side.

Why it matters: Server-side privacy features address growing concerns about personal data usage in AI applications, offering users more control over their information.

SourceGoogle DeepMind

PolicyYesterday

Even Americans who use AI every day are worried about it

A report finds that Americans who regularly use AI remain concerned about the technology despite their familiarity with it. The study suggests that increased exposure alone will not alleviate public unease or reduce support for AI regulation.

Why it matters: Public concern about AI persists even among active users, indicating that regulatory frameworks and safety measures may need to address broader societal concerns beyond technical capability.

SourceTechCrunch

Policy20h ago

A US-China AI Hotline Won't Be Ready For a While

The US and China are working to establish a communication channel on AI-related national security issues, though implementation is still in development.

Why it matters: Direct communication between major AI powers could help prevent misunderstandings and reduce risks from AI competition escalation.

SourceWired

Policy23h ago

The Pope’s AI Guy Is Worried About ‘Cartel’ Behavior Among Big Labs

Paolo Benanti, an AI ethics advisor to the Vatican, warns against excessive focus on existential AI risks and calls for public debate on how to govern AI technology.

Why it matters: Religious and institutional leadership perspectives on AI governance highlight the need for broad societal input beyond technical communities in setting AI policy.

SourceWired

TechPolicyYesterday

The EU AI Act Newsletter #111: Pacing the Frontier

European Commission President Von der Leyen highlighted frontier AI risks in her State of the Union address, while the EU AI Office confirmed that OpenAI failed to file a report regarding the RubyGems incident as required by regulation.

Why it matters: Regulatory enforcement and compliance failures signal that governments are beginning to hold major AI companies accountable under emerging AI regulations.

SourceEU AI Act Newsletter

Policy2 days ago

‘We’re already fighting yesterday’s battle’: Greece’s prime minister gets candid about AI

Greek Prime Minister Kyriakos Mitsotakis acknowledged in an interview that governments are unprepared for the transformative impact AI will have on society, despite being on an AI-focused trade mission.

Why it matters: Government leaders increasingly recognize that existing policy frameworks and institutional preparedness lag behind the pace of AI advancement, highlighting governance challenges ahead.

SourceTechCrunch

TechPolicyYesterday

STAT+: AI doomerism: Here’s how to make sense of it

STAT News publishes analysis examining claims about AI existential risks and slowdowns in AI progress, offering perspective on doom-focused narratives. The piece attempts to contextualize speculative concerns with evidence.

Why it matters: Understanding the actual state of AI progress versus hype helps policymakers and the public make informed decisions about AI regulation and investment.

SourceSTAT News

Tuesday, September 22

TechPolicy2 days ago

Don’t be fooled by this summer of AI hype

Recent months have featured numerous AI hype cycles, including claims about Claude Mythos finding vulnerabilities better than security experts, and multiple hacking incidents affecting Anthropic and Meta models. The article cautions against being swept up in AI announcements without critical scrutiny.

Why it matters: Understanding the gap between AI capabilities claims and reality helps organizations and policymakers make informed decisions about AI deployment and security risks.

SourceMIT Technology Review

TechPolicy3 days ago

Priorities and principles for effective third party assessments

OpenAI published priorities and principles for independent third-party assessments of frontier AI models and their safety measures. The framework emphasizes rigorous, secure evaluation processes.

Why it matters: Clear assessment principles help regulators and organizations independently verify AI safety claims and build trust in frontier model deployment.

SourceOpenAI

TechPolicy2 days ago

Ken Crutchfield: Lessons From Steel — Why LLMs Will Become Commodities

Legal technology commentator Ken Crutchfield analyzes how LLMs, though currently led by companies like OpenAI and Anthropic with high valuations, will eventually become commodities like steel or other industrial materials.

Why it matters: Understanding LLMs as inevitable commodities helps explain why fierce competition and regulation will reshape the AI industry's economics and power structure.

SourceLawSites (LawNext)

Monday, September 21

TechPolicy3 days ago

Building standards for the next phase of AI

OpenAI proposes a framework for establishing shared global AI standards, emphasizing coordinated evaluation, transparent reporting, and collaborative governance mechanisms to improve safety.

Why it matters: International AI standards help ensure consistent safety practices across regions and reduce the risk of countries racing to develop capable systems without proper safeguards.

SourceOpenAI

TechPolicy3 days ago

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

NVIDIA argues that AI security must be treated as an engineering discipline with clear requirements, controls, and accountability. The article advocates for faster adoption of defensive security tools and knowledge-sharing across the industry as AI becomes more capable.

Why it matters: Treating AI security as a systematic engineering challenge rather than an afterthought helps prevent breaches and malicious use of AI systems.

SourceNVIDIA Blog

Policy3 days ago

Roundtables: The Deadly Failures of The Virtual Border Wall

MIT Technology Review investigated the US border surveillance system and found that despite decades of investment and billions spent on surveillance towers, the virtual wall has failed to prevent over a thousand people from crossing in monitored areas.

Why it matters: Large government investments in surveillance AI have not delivered promised security outcomes, raising questions about effectiveness and accountability in security technology spending.

SourceMIT Technology Review

TechPolicy3 days ago

Advisory Group on Mathematics and Artificial Intelligence

OpenAI announces the formation of an independent Advisory Group on Mathematics and Artificial Intelligence to review and communicate emerging AI research results.

Why it matters: External oversight of AI research communications helps ensure accuracy and transparency in how new AI capabilities are presented to the public.

SourceOpenAI

Friday, September 18

Policy6 days ago

Introducing the Australian Youth Safety Blueprint

OpenAI introduces a six-pillar framework outlining how AI systems can be designed to protect young people while still being beneficial.

Why it matters: As AI becomes more prevalent, establishing safety standards for young users is important for preventing harm and building responsible technology practices.

SourceOpenAI