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Policy & Regulation

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Policy, courts, legislation, standards, enforcement, and governance. Reader coverage is updated continuously; Google Search eligibility is decided separately.

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7.4
ai-chips
Jul 15, 20263 sources
United States Eases UAE Export Controls for Advanced AI Chips
The United States has eased export controls for the United Arab Emirates, making the UAE government and approved companies eligible to receive advanced computing items, including AI chips and servers, without individual licenses. The Commerce Department tied the change to the UAE's major defense partnership, support for American national security interests during Operation Epic Fury, and commitments under the bilateral AI cooperation framework. The policy also covers selected commercial satellites, military equipment, and dual-use goods. The practical effect is broader access for approved Emirati buyers, not unrestricted access for every company. Commerce said sensitive technology remains subject to anti-diversion commitments, while the UAE reaffirmed matching investment obligations for American AI infrastructure.
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7.2
ai-governance
Jul 15, 20263 sources
DeepMind Researcher Resigns Over Google's Pentagon AI Deal
Google DeepMind research scientist Alex Turner says he resigned after Google entered an agreement that lets the Pentagon deploy its AI on classified networks. Turner's first-person account says the deal was the decisive factor after months of internal advocacy, while Business Insider independently confirmed that he stepped down in June after more than two years in AI safety. The official Defense Department release confirms Google was among the companies covered by agreements for lawful operational use. For AI practitioners, the case shows how contract language, deployment controls, and internal escalation paths can become employment-level governance issues. The immediate open question is whether providers will publish binding limits and oversight mechanisms for classified deployments.
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5.8
ai-law
Jul 15, 20262 sources
Belagavi Anthropic Firm Uses Hague Process in Name Dispute
The Hindu reports that Belagavi-based Anthropic Software Technology Company used the Hague Convention service mechanism to deliver notice to US-based Anthropic PBC in an Indian trademark dispute. The local company says it used the Anthropic name earlier and alleges marketplace confusion and reputational harm. Separate Times of India reporting confirms that Anthropic PBC has formally appeared in the Belagavi proceedings and that claims and defenses remain unresolved. The service step does not decide trademark ownership, infringement, or entitlement to an injunction. The case is an operational warning for global AI companies: naming, trademark clearance, local entity structure, and service-of-process readiness can become material market-entry risks even when the underlying product is unrelated to the earlier business.
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5.8
ai-policy
Jul 15, 20263 sources
San Francisco March Calls for a Coordinated AI Training Pause
Stop The AI Race organized a July 11 march from OpenAI to Anthropic and Google DeepMind in San Francisco. The official event listing asked the companies' leaders to commit to stopping development of more powerful AI if other major labs made the same commitment. Independent reports placed attendance between more than 100 and about 200 people, showing crowd estimates differed by outlet. Organizers connected the request to AI safety, jobs, energy use, housing, and the influence of large technology companies. The march demonstrates growing public pressure, but not a settled policy design. LDS explains the operational questions any pause proposal must answer: which training runs are covered, who verifies compliance, what safety work remains allowed, how international coordination works, and what conditions end the pause.
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7.6
ai-policy
Jul 15, 20263 sources
FT Report Raises Affiliate-Screening Questions for Frontier Model Access
Financial Times reporting carried by Financial Post says OpenAI and Google provided advanced model services to Singapore subsidiaries of Alibaba, Baidu, and Tencent. The parent companies appear on the U.S. Defense Department's Section 1260H list. Company responses in the report emphasize supported jurisdictions, safety controls, and restrictions on model distillation; OpenAI also said it suspended access for Alibaba-linked users after suspected distillation. The reporting describes a policy and customer-screening gap, not an independently established violation of a blanket cloud-service ban. LDS recommends that frontier-model providers map ultimate ownership, screen affiliates, monitor usage patterns, detect distillation, and preserve review records across every jurisdiction where a customer can obtain access.
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7.4
ai-governance
Jul 15, 20264 sources
Economists and AI Researchers Call for Early Economic Guardrails
Hundreds of economists and AI researchers have signed a brief statement urging institutions to prepare for artificial intelligence's potential economic disruption and job displacement. The statement argues that advanced AI could transform the economy faster than past industrial change and calls for incentives, guardrails, and institutions that complement people. Associated Press reporting independently confirmed the release and described a coalition spanning economics, computer science, and technology organizations. The document is a shared warning, not a settled forecast or detailed policy package. LDS recommends that organizations establish task-level workforce baselines, measure productivity and distributional effects, document scaled replacement decisions, and preserve human accountability before widespread deployment makes the consequences harder to observe or reverse.
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6.5
ai-policy
Jul 15, 20263 sources
South Korea Opens Formal Debate on Sharing AI Chip Windfalls
South Korea's Ministry of Employment and Labor has opened a formal social dialogue over how gains from the AI semiconductor boom should be defined, reinvested, and shared. The first government-hosted forum brought together labor, business, academic, and political participants, but it did not create a tax, dividend, bonus rule, or binding profit-sharing framework. Officials instead announced a green-paper process and broader consultations. Independent reporting shows the central dispute is not only redistribution versus reinvestment; policymakers still lack a common definition of excess profit, a defensible recipient boundary, and a method that accounts for the chip cycle. For AI infrastructure teams, the immediate signal is policy uncertainty rather than an enacted cost change. LDS recommends tracking the process as an emerging governance risk across capital spending, labor incentives, supplier relationships, and public revenue.
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6.0
ai-hardware
Jul 15, 20263 sources
OpenAI Rejects Apple's Trade-Secret Allegations in New Response
OpenAI has responded to Apple's trade-secret lawsuit by saying it is not aware of evidence supporting the complaint's allegations. Apple alleges that former employees carried confidential hardware information to OpenAI; OpenAI disputes the merits. No court has determined that either account is correct, and the docket remains the authoritative record for future filings. For LDS, the operational issue is evidence preservation when AI hardware teams recruit across competitors. Companies should retain access logs, repository permissions, device transfers, data exports, onboarding attestations, invention assignments, and documented clean-room boundaries so later claims can be tested against records instead of competing narratives. The response is a litigation development, not an adjudication.
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7.5
ai-infrastructure
Jul 15, 20267 sources
New York Pauses Key Permits for New Hyperscale Data Centers
New York Governor Kathy Hochul has ordered a temporary pause on specified discretionary environmental permits for new hyperscale data centers while state agencies study energy, water, emissions, affordability, and community impacts and develop standards. The action is narrower than a blanket construction ban: it does not shut existing facilities or stop every data-center activity. The scope matters because projects can still face delays when a required state permit is paused, even if other approvals continue. LDS recommends that AI-infrastructure planners model permit dependency, power interconnection, water demand, emissions controls, local-rate exposure, and schedule risk before selecting a site, and distinguish the executive order from separate legislative proposals.
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6.0
ai-licensing
Jul 15, 20262 sources
Next Net and Sundial Launch SAIL for Rights-Managed AI Content
Next Net and Sundial Media & Technology Group have launched SAIL, an initiative intended to track how AI systems access, attribute, combine, and compensate publisher content. Sundial, whose brands include Essence, Refinery29, and Afropunk, is the inaugural media partner. AdExchanger reports that the design aims to create usage records and connect publisher-controlled systems with third-party AI tools. SAIL is an early framework, not an adopted industry standard, and its payment, enforcement, interoperability, and output-control claims remain unproven. LDS recommends evaluating it with immutable content identifiers, license scope, per-use receipts, provenance across derived outputs, dispute handling, revocation, independent audits, and tests showing whether policy survives caching, retrieval, fine-tuning, and multi-source synthesis.
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5.0
agent-governance
Jul 15, 20261 source
TrustX ARC Proposes Risk Tiers for Enterprise AI Agents
Researchers from the Responsible AI Institute introduced TrustX ARC, a working-paper framework for classifying internally built AI agents and mapping them to governance controls. It combines agent type, agency properties, autonomy, a twelve-dimension risk rubric, and critical-dimension logic so one severe risk is not averaged away. A coding-assistant extension addresses executable output and system access. The paper offers an interactive instrument and illustrative examples but no empirical validation that its tiers predict incidents or improve outcomes. LDS recommends using ARC as a structured intake checklist while separately testing assessor agreement, evidence requirements, control effectiveness, change detection, exception handling, and whether the same agent receives a stable tier across teams and deployments.
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7.0
agentic-ai
Jul 15, 20262 sources
AI AGENT Act Draft Would Open Large Platforms to User-Chosen Agents
Senator Mark Warner released a discussion draft of the AI AGENT Act, a proposed federal framework for consumer-authorized agents that interact with large online platforms. The draft would direct qualifying platforms to provide secure, nondiscriminatory interfaces, create a Federal Trade Commission registration process, require revocable authorization and action records, and impose user-interest and data-protection duties on agent providers. PYMNTS independently analyzed the proposal and its unresolved auditability questions. This is a discussion draft seeking feedback, not introduced or enacted law. LDS maps the implementation burden: interoperable identity, narrow delegated authority, durable receipts, revocation propagation, rate limits, incident handling, and proof that a platform is not quietly favoring its own agent.
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8.0
ai-policy
Jul 15, 20263 sources
South Korea Plans Record 2027 Budget With AI and Chip Projects Prioritized
South Korea plans more than 800 trillion won in 2027 spending; the full budget bill has not yet been enacted. Officials said the plan would combine stronger tax receipts with roughly 50 trillion won of expenditure restructuring. Chips, AI data centers, and physical AI were identified as priority megaprojects for fiscal support and coordination. The announcement connects a semiconductor-led revenue windfall to long-term technology investment, but it also creates concentration risk if the memory cycle weakens. LDS separates the headline budget, the proposed future-response fund, and private investment plans so readers do not mistake one figure for another or treat a fiscal proposal as completed spending.
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6.7
ai-lending
Jul 15, 20264 sources
Fed Supervision Chief Says AI May Widen Credit Access With Risk-Calibrated Oversight
Federal Reserve Vice Chair for Supervision Michelle Bowman said AI could help financial institutions expand credit access, improve risk assessment, and lower service costs, while emphasizing compliance, model risk, consumer protection, and bias concerns. The remarks are Bowman's views in a policy speech, not a Federal Reserve rule, Board decision, or finding that AI systems already improve inclusion. LDS translates the opportunity into a lending-control framework: alternative-data provenance, fair-lending tests, adverse-action explanations, calibration by borrower cohort, monitored drift, human override, and a clear boundary between experimentation and decisions that affect credit access. Innovation should be supported in proportion to risk, but expanded model use needs evidence that benefits and errors are distributed fairly.
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5.9
ai-governance
Jul 15, 20264 sources
BRICS Union Forum Puts Worker-Centric AI Governance on Its Agenda
Trade-union delegates at a BRICS forum in Hyderabad called for AI adoption that improves productivity without treating job displacement as an acceptable default. India's labour ministry listed human-centric technology, responsible AI, skills, social protection, and women's participation among the meeting's priorities. ANI separately reported delegates emphasizing worker education and social dialogue. The statements are agenda-setting positions, not binding rules, technical standards, or an adopted cross-country enforcement mechanism. LDS examines what worker-centric AI would require in practice: notice before deployment, role-level impact assessment, worker participation, monitored productivity and safety outcomes, retraining commitments, contestable automated decisions, and disclosure of the data and models used in employment workflows.
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7.2
ai-governance
Jul 15, 20269 sources
Meta Employees Allege AI-Assisted Layoff Process Penalized Protected Leave
Twenty-six Meta employees have sued the company, alleging that its July layoff process used AI-assisted rankings and activity data in ways that disadvantaged workers on medical, disability, and parental leave. The complaint describes internal tools and dashboards as inputs to selection, but the allegations have not been proven and the exact weight of any model in individual decisions is not publicly established. Meta says the claims lack merit and that people, not AI, made workforce decisions. Associated Press reported that all 26 plaintiffs remained employed when the case was filed, with separations scheduled for July 22. LDS examines the governance question behind the dispute: an employment decision-support system needs leave-neutral features, documented human overrides, versioned scores, and adverse-impact tests before its outputs influence layoffs.
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7.5
ai-training-data
Jul 15, 20264 sources
Publishers File New Copyright Lawsuit Against Google Over Gemini Training
Hachette Book Group, Cengage Learning, Elsevier, author Scott Turow, and S.C.R.I.B.E. filed a proposed class action against Google in federal court in New York. The complaint, filed on July 10, 2026 in case 26-cv-5870, alleges that Google copied books supplied for limited Google Books and related uses, scraped other works, removed copyright-management information, and used the material to develop Gemini models without permission. The plaintiffs seek damages, an injunction, and destruction of allegedly unauthorized copies. These are allegations, not court findings, and Google had not filed a response when the reviewed reports were published. For AI teams, the case spotlights a concrete governance question: whether access obtained for search, snippets, sales, or another service also grants rights for model training.
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7.4
ai-assurance
Jul 15, 20262 sources
UK Backs AI-Assisted Criminal Disclosure, With Rollout Conditional on Pilots
The UK government has accepted reforms that would clarify how police and prosecutors may use technology to identify, organise, and summarise digital evidence. PoliceAI will pilot AI-generated summaries and disclosure support, but this is not a nationwide deployment or an autonomous evidence decision system. Officers and prosecutors retain legal responsibility, and wider use depends on testing, human oversight, auditable records, and changes to the criminal-disclosure framework. The central technical risk is recall: a system that saves review time but misses material that weakens the prosecution or assists the defence can undermine a fair trial. LDS analysis finds that deployment should be gated by omission testing, claim-to-source traceability, versioned configurations, and independent challenge before efficiency projections are treated as outcomes.
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7.4
agi
Jul 15, 20267 sources
Demis Hassabis Proposes Pre-Release Reviews Under Frontier AI Standards Body
Demis Hassabis proposed a federally overseen United States frontier AI standards body in a signed essay published on July 14, 2026. The DeepMind chief wants a public-private organization, loosely modeled on FINRA, to define changing frontier thresholds and test high-risk capabilities before release. Labs would initially submit qualifying models voluntarily up to 30 days before launch; deployment approval could become mandatory only after the evaluation system proved reliable. Hassabis also forecast that AGI may be only a few years away and compared its potential significance with the discovery of electricity or fire. Those are his predictions, not established timelines. A separate Axios interview reported that he wants the body operating before year-end and believes more dangerous open-model capabilities could appear within 18 months.
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7.0
agentic-ai
Jul 15, 20262 sources
UK Publishes Financial Services AI Adoption Plan
The UK government has published a financial-services AI adoption plan built around recommendations for government, regulators, and industry. The plan identifies regulatory clarity, the boundary between regulated advice and general-purpose AI, assurance, skills, and agentic-payment readiness as the main areas for coordinated action. For financial institutions, the practical signal is coordination rather than a new standalone AI rulebook: regulators are asked to make existing support easier to navigate while policymakers examine gaps around advice, accountability, and automated payments. Independent Reuters reporting confirms the recommendations were released as part of the government plan and highlights concerns about access to advanced models and domestic AI capability.
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5.9
ai-governance
Jul 14, 20263 sources
Warsh Defends Fed's Limited Role in AI During House Hearing
Federal Reserve Chair Kevin Warsh told lawmakers on July 14, 2026 that the Fed is monitoring artificial-intelligence investment for inflation and labor-market effects, while resisting Representative Stephen Lynch's call for a more interventionist role. Economic Times video coverage says Lynch questioned whether the United States is winning the AI race; Warsh responded that directing AI investment or industrial policy is not the central bank's job. The exchange matters because AI assumptions are moving into monetary-policy analysis: data-center construction and equipment spending can lift near-term demand, while later productivity gains could reshape prices and employment. For data and ML practitioners, the key signal is not a new AI regulation but a widening policy debate over how measured productivity, hiring, and investment evidence should influence economic forecasts.
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6.1
ai-governance
Jul 14, 20262 sources
Bjorn Ulvaeus Urges Collective Licensing for AI Training
Bjorn Ulvaeus used a July 8, 2026 keynote at the AI for Good Global Summit in Geneva to urge policymakers to compensate creators for works used in artificial intelligence training. The ABBA co-founder and CISAC president argued that payment should attach to training inputs rather than be calculated from individual model outputs, proposing collective licensing funded by a share of AI subscription revenue. Billboard independently reported the speech and its call to keep artists and rights holders inside AI policy decisions. For AI and data teams, the practical signal is that training-data provenance, consent, and compensation are moving from copyright disputes into mainstream model-governance debates. Ulvaeus framed AI as a useful creative tool, but argued that its legitimacy depends on creators sharing in the value their work helps produce.
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6.0
ai-energy
Jul 12, 20266 sources
AI Boom Spurs Gas Plants, Renewables Push Back in US States
The AI data-center boom is accelerating planned natural-gas generation while renewable-energy advocates press states to preserve climate targets. Associated Press reporting describes utilities, lawmakers, and environmental groups debating how large computing loads should be supplied and who should bear the cost of new power infrastructure. New York legislation would set future renewable benchmarks for large data centers, while other states are considering different procurement and emissions approaches. The central issue is timing: data centers seek firm power quickly, but generation, transmission, and clean-energy projects have different construction schedules. For operators, energy sourcing is becoming a deployment constraint, a cost exposure, and a permitting risk rather than a background sustainability metric.
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5.0
ai-hallucination
Jul 12, 20262 sources
Court Reprimands Lawyer for AI Hallucinations in Briefs
The Eleventh Circuit affirmed dismissal of a workplace-policy case and reprimanded attorney Anthony Sabatini for appellate briefs containing fabricated case citations produced with AI. The court's published opinion says the filings included nonexistent authorities and that an attempted correction introduced additional false citations. The decision reinforces a simple professional rule: lawyers remain responsible for every authority submitted under their names, regardless of which tool drafted or researched the text. For legal and AI teams, the failure was not only model hallucination; it was the absence of source verification before filing. Citation-grounding systems, human review, and direct checks against official case databases are necessary controls when generative tools enter legal research or drafting.
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6.8
ai-policy
Jul 10, 20262 sources
Markey Unveils AI Accountability Agenda For Federal Oversight
Senator Ed Markey unveiled a July 10, 2026 AI accountability agenda that ties nearly a dozen bills to federal oversight of data centers, workplace automation, child safety, healthcare AI, and algorithmic bias. The Guardian reported that the newest proposal would require FCC certification before AI data centers are built, while official Markey releases corroborate related bills on environmental reporting and civil-rights offices for agencies using AI. For AI governance teams, the agenda is not enforceable law yet, but it maps the compliance evidence likely to matter if federal oversight advances: human override, bias audits, energy and water disclosure, worker protections, child safeguards, and deployment-specific accountability. The practical takeaway is to document controls by use case, not just model capability.
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7.2
openai
Jul 10, 20265 sources
OpenAI and Google Sell Models to Blacklisted China Groups
On July 10, 2026, the Financial Times reported that OpenAI and Google supplied advanced AI model access to Singapore subsidiaries of Alibaba, Baidu, and Tencent, while those Chinese parent companies are on the U.S. Section 1260H military-company list. FT says the sales are legal under current rules, but OpenAI suspended some Alibaba-affiliated API users after distillation concerns and Google said geographic restrictions alone are not enough against sophisticated circumvention. For AI teams, the practical lesson is that model access control now depends on entity ownership checks, subsidiary mapping, account-behavior monitoring, and clear escalation paths when API use looks like model extraction rather than ordinary deployment.
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6.8
federal-reserve
Jul 9, 202614 sources
Fed Names Leaders for AI-Focused Productivity Task Force
The Federal Reserve on July 9, 2026 named Marc Andreessen, Stanford economist Charles I. Jones, and Microsoft Xbox CEO Asha Sharma to co-lead a Productivity and Jobs task force that will assess how general-purpose technologies, including AI, affect the economy. According to the Fed, the group is one of five external task forces meant to examine monetary-policy communication, balance-sheet policy, data sources, productivity and jobs, and inflation frameworks. For AI and data teams, the practical signal is not a new model or rule, but a central-bank review of how AI-driven productivity gains could enter labor, demand, and inflation assumptions used in forecasting, valuation, and scenario planning.
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7.0
ai-governance
Jul 9, 20265 sources
China Expands Influence over Global AI Governance
The United Nations held the first Global Dialogue on AI Governance in Geneva on July 6-7, 2026, and reporting from the Christian Science Monitor and Nikkei frames China as highly visible in the diplomacy around global AI rules. For AI teams, the practical point is that nonbinding multilateral language can later surface in procurement rules, safety standards, model-evaluation expectations, and national regulation. The UN says the dialogue was created under the Global Digital Compact as an inclusive forum for governments and stakeholders. GenevaSolutions reported more than 4,000 participants at related Geneva events, while TechPolicy argued the process should anchor AI governance in freedom-of-expression and human-rights norms.
Read story+2
5.6
voice-cloning
Jul 9, 20264 sources
Harry Shearer Discusses Protecting His Voice From AI
Variety reported on July 7, 2026 that Harry Shearer has sought legal advice on protecting his The Simpsons voice and likeness from AI-generated use after death. The practical AI issue is consent and licensing: voice-cloning systems can imitate recognizable performers, but rights holders still need enforceable rules for training data, synthetic reuse, provenance, and posthumous permissions. AV Club separately quoted Shearer calling current AI mimicry a sophisticated form of mimicry and criticizing hype around the technology. For audio-model teams, the signal is not a new statute; it is growing pressure to build licensed voice pipelines, watermarking, consent records, and takedown workflows before celebrity or estate disputes reach production systems.
Read story+1
6.4
ai-jobs
Jul 9, 20264 sources
Silicon Valley Frames AI Layoff Preparedness Effort
The Atlantic reported on July 9, 2026 that U.S. AI-workforce preparation now spans a one-week Labor Department text-message course, Bernie Sanders' proposed 50% public stake in large AI companies, and Silicon Valley-backed transition efforts. The story matters for AI and data teams because workforce policy can shape training budgets, reskilling products, and demand for measurement tools before layoffs are clearly quantified. Official sources corroborate pieces of the picture: DOL announced Make America AI-Ready in March, Sanders introduced the American AI Sovereign Wealth Fund Act in June, and RAISE US launched in late June. The safest takeaway is policy uncertainty, not a confirmed layoff forecast.
Read story+1

Policy & Regulation

Latest coverage

United States Eases UAE Export Controls for Advanced AI Chips

DeepMind Researcher Resigns Over Google's Pentagon AI Deal

Belagavi Anthropic Firm Uses Hague Process in Name Dispute

San Francisco March Calls for a Coordinated AI Training Pause

FT Report Raises Affiliate-Screening Questions for Frontier Model Access

Economists and AI Researchers Call for Early Economic Guardrails

South Korea Opens Formal Debate on Sharing AI Chip Windfalls

OpenAI Rejects Apple's Trade-Secret Allegations in New Response

New York Pauses Key Permits for New Hyperscale Data Centers

Next Net and Sundial Launch SAIL for Rights-Managed AI Content

TrustX ARC Proposes Risk Tiers for Enterprise AI Agents

AI AGENT Act Draft Would Open Large Platforms to User-Chosen Agents

South Korea Plans Record 2027 Budget With AI and Chip Projects Prioritized

Fed Supervision Chief Says AI May Widen Credit Access With Risk-Calibrated Oversight

BRICS Union Forum Puts Worker-Centric AI Governance on Its Agenda

Meta Employees Allege AI-Assisted Layoff Process Penalized Protected Leave

Publishers File New Copyright Lawsuit Against Google Over Gemini Training

UK Backs AI-Assisted Criminal Disclosure, With Rollout Conditional on Pilots

Demis Hassabis Proposes Pre-Release Reviews Under Frontier AI Standards Body

UK Publishes Financial Services AI Adoption Plan

Warsh Defends Fed's Limited Role in AI During House Hearing

Bjorn Ulvaeus Urges Collective Licensing for AI Training

AI Boom Spurs Gas Plants, Renewables Push Back in US States

Court Reprimands Lawyer for AI Hallucinations in Briefs

Markey Unveils AI Accountability Agenda For Federal Oversight

OpenAI and Google Sell Models to Blacklisted China Groups

Fed Names Leaders for AI-Focused Productivity Task Force

China Expands Influence over Global AI Governance

Harry Shearer Discusses Protecting His Voice From AI

Silicon Valley Frames AI Layoff Preparedness Effort

Policy & Regulation

Latest coverage

United States Eases UAE Export Controls for Advanced AI Chips

DeepMind Researcher Resigns Over Google's Pentagon AI Deal

Belagavi Anthropic Firm Uses Hague Process in Name Dispute

San Francisco March Calls for a Coordinated AI Training Pause

FT Report Raises Affiliate-Screening Questions for Frontier Model Access

Economists and AI Researchers Call for Early Economic Guardrails

South Korea Opens Formal Debate on Sharing AI Chip Windfalls

OpenAI Rejects Apple's Trade-Secret Allegations in New Response

New York Pauses Key Permits for New Hyperscale Data Centers

Next Net and Sundial Launch SAIL for Rights-Managed AI Content

TrustX ARC Proposes Risk Tiers for Enterprise AI Agents

AI AGENT Act Draft Would Open Large Platforms to User-Chosen Agents

South Korea Plans Record 2027 Budget With AI and Chip Projects Prioritized

Fed Supervision Chief Says AI May Widen Credit Access With Risk-Calibrated Oversight

BRICS Union Forum Puts Worker-Centric AI Governance on Its Agenda

Meta Employees Allege AI-Assisted Layoff Process Penalized Protected Leave

Publishers File New Copyright Lawsuit Against Google Over Gemini Training

UK Backs AI-Assisted Criminal Disclosure, With Rollout Conditional on Pilots

Demis Hassabis Proposes Pre-Release Reviews Under Frontier AI Standards Body

UK Publishes Financial Services AI Adoption Plan

Warsh Defends Fed's Limited Role in AI During House Hearing

Bjorn Ulvaeus Urges Collective Licensing for AI Training

AI Boom Spurs Gas Plants, Renewables Push Back in US States

Court Reprimands Lawyer for AI Hallucinations in Briefs

Markey Unveils AI Accountability Agenda For Federal Oversight

OpenAI and Google Sell Models to Blacklisted China Groups

Fed Names Leaders for AI-Focused Productivity Task Force

China Expands Influence over Global AI Governance

Harry Shearer Discusses Protecting His Voice From AI

Silicon Valley Frames AI Layoff Preparedness Effort