How the Australian government plans to govern AI safety | 9 News Australia
AI companies must prove their safety systems are consistently up to scratch under proposed new regulation from the federal ...
1387 articles tagged with Safety/Alignment
AI companies must prove their safety systems are consistently up to scratch under proposed new regulation from the federal ...
Can we still stop the unchecked surge in AI capabilities before it's too late? AI safety expert Jeffrey Ladish reveals the terrifying ...
Three former OpenAI employees have raised concerns about the safety of artificial intelligence (AI) systems.
RT @Dinosn: quincunx33/ai-jailbreak: Eine Sammlung von Jailbreak-Prompts und Exploit-Techniken für lokale und frontier KI-Modelle, mit modernen Methoden für Qwen3.5, Gemma 4, Llama...
I maintain Aegis-DevOps, an open-source check that sits between an AI coding agent and the shell....
📄 'Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability' argues the real bottleneck isn't coverage but supervision reliability. 153...
Senate Commerce Committee ranking member Maria Cantwell, D-Wash., released a framework for artificial intelligence regulation Wednesday that includes a major role for the federal g...
PS5 Jailbreaks Are Escalating at an Unprecedented PaceArticle URL: https://www.pushsquare.com/news/2026/10/ps5-jailbreaks-are-escalating-at-an-unprecedented-pace-and-sony-must-be-s...
As AI races ahead, Sen. Maria Cantwell is pushing federal safety standards as industry leaders call for overnight and experts warn Congress is out of time.
Causal influence of localized structures in language models depends on capacity, responsiveness, and alignment.Source: arXiv cs.CLhttps://arxiv.org/abs/2610.06897#MachineLearning
Recent AI alignment work often frames alignment as a pre-deployment optimization problem. Researchers propose SPEAR, five pillars of interactive alignment.Source: arXiv cs.MAhttps:...
Adversa AI handed GitHub Copilot CLI an encrypted instruction, the key, and a polite note asking it to decrypt. The agent's own code runtime did the rest. Static filters read text;...
On-Policy Distillation (OPD) trains a student on its own generations using teacher feedback. With different tokenizers, comparing teacher and student predictions requires alignment...
White House Reveals Voluntary AI Safety Pledge Signed by OpenAI, Nvidia, Alphabet and Meta https://www.yayafa.com/2903561/ #AgenticAi #AI #ArtificialGeneralIntelligence #Artificial...
When Meta agreed to changes to its social media platforms and enhanced safeguards in an $18 billion settlement, it made progress by "getting at what we've known for years" about th...
Artificial intelligence insiders warned New York City’s leaders about the dangers of the emerging technology, calling for greater oversight.
OpenAI is facing mounting legal and regulatory pressure after its AI agents were linked to unauthorised activity across dozens of ...
The European Union has endorsed the Kyoto Vision on AI Safety, a framework promoting international cooperation on risk management, transparency, and responsible innovation for adva...
The lengthy campaigns to protect kids on social media offer some lessons for those looking to protect children using artificial intelligence. Years after
Another #OpenAI Safety Expert Quits and Raises New AI Safety Concernshttps://securityaffairs.com/200372/security/another-openai-safety-expert-quits-and-raises-new-ai-safety-concern...
India should build its own artificial intelligence (AI) safety framework suited to its languages, scale, and application-led AI ecosystem rather than replicate a voluntary pact sig...
What I learnt co-leading an AI Safety bootcamp for legal and governance practitArticle URL: https://www.lesswrong.com/posts/KtAug62dYRgAS8sqJ/what-i-learnt-co-leading-an-ai-safety-...
Real-world users often exhibit highly heterogeneous preferences over multiple objectives for LLM responses. A lightweight aligner can tailor these responses to individual preferenc...
Tabular foundation models perform in-context learning (ICL) by conditioning predictions on labeled training examples provided as context. Unlike traditional models that separate tr...