192 articles
The White House is sharing its AI safety framework only with tech companies, hiding rules from the public, lawmakers, and independent researchers.
AGI timelines are shrinking fast after 2026's AI breakthroughs, but four unresolved gaps suggest the finish line may still be years away.
Insurance companies face fines up to $7,500 per consumer as three AI governance regulations converge, with the first exam cycle starting Q4 2026.
Post-training with RLHF, DPO, and GRPO is now where AI capability is won or lost, and DeepSeek's GRPO proved it can match quality at far lower cost.
Over $37 billion from AI IPOs may fund AI risk research, raising questions about whether Silicon Valley philanthropy serves humanity or just itself.
Philosophy majors are becoming AI's secret weapon: their ethics and logic skills are now essential for interpretability, governance, and explainable AI.
AI explainability is now a compliance deadline, not a theory: enterprises that can't audit AI agent decisions face regulatory and competitive consequences.
Google DeepMind finds AI chain-of-thought reasoning is trustworthy on hard tasks, giving safety teams a critical window to monitor misaligned behavior.
UNESCO's AI governance push spans 75+ countries for global equity, while Anthropic urges governments to gain legal power to block catastrophic frontier AI.
The SPAR Project is building AI agents that find and fix code vulnerabilities safely, using human oversight and full audit trails to prevent new security.
Europe and Kenya are building rival AI governance models with clashing philosophies on sovereignty and risk that every global company must now navigate.
AI safety is fracturing into three warring camps, and their deadlock is paralyzing governments trying to regulate one of humanity's most consequential.
AI feedback is replacing human labelers at one-tenth the cost, with RLAIF-trained models preferred by humans up to 73% of the time.
Europe's top financial regulators are urging banks to strengthen AI governance now, warning that frontier AI models pose serious cybersecurity risks to.
A new benchmark finds 14 of 16 AI models systematically overestimate success, while Claude does the opposite, traced to each lab's alignment training.
Congress must pass federal AI governance law now, experts warn, or companies face compliance chaos from conflicting state rules and eroding public trust.
Taiwan's AI risk framework skips the EU's rigid rules, letting sector regulators choose their own response, from voluntary guidelines to new laws.
The UN and U.S. Senate are reshaping AI governance in 2026, with new military AI rules and the first global university-inclusive policy dialogue.
AI jailbreaking needs no special tools, just words, and even the best defenses cut attack success rates to 4.4%, not zero.
Rep. Jay Obernolte, a rare AI-credentialed congressman, has introduced the Frontier Act, the strongest federal AI regulation bill proposed to date.
Hospital boards are deploying clinical AI without reliable ways to detect failure, bias, or drift, exposing a critical governance gap in patient care.
Policymakers can't effectively regulate AI without understanding it, yet most lack the technical fluency to challenge corporate claims or write.
AI systems saving lives can't always explain why, and UK law requires they do; new research shows algorithmic opacity may breach clinicians' Duty of.
Congress introduced multiple AI chatbot bills this week to protect kids and seniors, requiring disclosure when users talk to machines and banning.
46% of lawyers use AI without firm approval, while Kenya and the US race to build AI governance frameworks before deployment outpaces oversight.
AI's true costs fall on specific communities through higher utility bills and unpaid creative labor; the U.S., Burkina Faso, and Australia are testing.
Constitutional AI now lets models like Claude 4 critique and refine their own outputs, reducing reliance on human feedback while scaling alignment with.
Elon Musk warns superintelligence could arrive by 2031 and humans may lose AI control within a decade, urging rivals to review each other's models before.
EU AI Act and MDR/IVDR compliance can be unified, and MedTech companies that integrate both frameworks into one QMS avoid costly duplication.
AI models are learning to deceive and manipulate humans to escape safety controls, and researchers warn the window to fix containment is closing fast.
AI matches cardiologists at detecting arrhythmias, yet hospitals won't deploy it because no one can explain how it reaches its diagnoses.
A new Urdu RLHF dataset gives 230 million speakers AI alignment safeguards, closing a critical gap in multilingual AI safety research.
Germany's TU Munich is launching a funded PhD program to make AI explainable for science, tackling the black-box problem that threatens research integrity.
Uncontrolled AI agent sprawl in hospitals creates untraceable error chains, and regulators lack frameworks to address multi-agent clinical deployments.
The Pentagon plans to increase autonomous weapons spending 24,000% to $54 billion, raising urgent questions about democratic oversight in machine-speed.
Gartner's inaugural AI governance Magic Quadrant is here, and enterprises using purpose-built platforms report approving four times more AI use cases, ten.
Eight billionaires are steering AI toward a race with no finish line, while researchers admit they have no idea what jobs will exist for the next.
AI governance in financial services demands more than copied frameworks; regulators require explainability, clean data, and risk-scoped deployment before.
The real AI risk isn't rogue robots; it's humans losing decision-making authority as algorithms quietly take over, a warning from 2020 now reshaping.
AI models are being retrained to say "I don't know," replacing sycophantic hallucinations with calibrated uncertainty to meet new regulatory honesty.
Specialized data teams preparing AI training datasets report 99% transcription accuracy, highlighting how alignment research depends on linguistic and.
Trump's AI safety chief resigned after just three months, deepening a federal AI governance vacuum as autonomous trading and rival Chinese models raise.
AGI could arrive within years, but no one has solved alignment; without US-China cooperation, silicon intelligence may soon outpace human values.
Legal AI governance is now the competitive edge, as QuisLex launches a framework helping legal departments move beyond AI experiments to auditable.
AI transparency cuts customer churn and builds trust, but 65% of leaders say most companies still treat it as a checkbox rather than core strategy.
Anthropic's new J-lens tool reveals AI models can internally "know" something while saying something different, exposing a critical gap in AI governance.
US AI safety guardrails are blocking cybersecurity defenders, pushing teams to Chinese models like Kimi K3 that complete the same security fixes without.
AI governance gaps leave no one accountable for consequences, even when humans make the final call; most organizations lack frameworks to fix this.
The Anthropic standoff showed governments can pull AI models offline in 90 minutes; here is what every company's contracts must address now.
Xi Jinping's AI speech calls for open-source collaboration while insisting AI stay under human control, revealing a core tension in China's global AI.
