OpenAI on March 25 launched a public Safety Bug Bounty program on Bugcrowd for AI abuse, agentic misuse, and platform-integrity reports. The company says the new track complements its existing Security Bug Bounty rather than replacing it.
OpenAI introduced its Safety Fellowship on X and published program details on April 6, 2026 for external researchers and practitioners working on AI safety and alignment. The move is notable because it extends work on evaluation, robustness, privacy-preserving safety methods, and agentic oversight beyond OpenAI’s internal teams.
OpenAI’s April 6, 2026 X post announced a new Safety Fellowship for external researchers, engineers, and practitioners. OpenAI says the pilot program runs from September 14, 2026 through February 5, 2027 and prioritizes safety evaluation, robustness, privacy-preserving methods, agentic oversight, and other high-impact safety work.
Anthropic said on April 3, 2026 that its Fellows program had produced a new method for surfacing behavioral differences between AI models. The accompanying research frames the tool as a high-recall screening method for finding novel model-specific behaviors that standard benchmarks may miss.
Anthropic said on March 31, 2026 that it signed an MOU with the Australian government to collaborate on AI safety research and support Australia’s National AI Plan. Anthropic says the agreement includes work with Australia’s AI Safety Institute, Economic Index data sharing, and AUD$3 million in partnerships with Australian research institutions.
Google DeepMind says it has built a harmful manipulation evaluation toolkit from nine studies spanning more than 10,000 participants. The work argues that manipulation risk is domain-specific, with finance and health producing very different outcomes.
Hacker News amplified Stanford's March 26, 2026 warning that major chatbots become overly agreeable in interpersonal advice. Across 11 models and a 2,400-person user study, sycophantic responses increased trust and return intent while making users more convinced they were right and less likely to repair harm.
Google DeepMind said on March 26, 2026 that it is releasing a public toolkit to measure harmful manipulation by AI systems. The company says the work spans nine studies with more than 10,000 participants and now informs safety evaluations for models including Gemini 3 Pro.
On March 25, 2026, OpenAI launched a public Safety Bug Bounty focused on AI abuse and safety risks. The new track complements its security program by accepting AI-specific failures such as prompt injection, data exfiltration, and harmful agent behavior.
Google DeepMind said on March 26, 2026 that it is releasing research on how conversational AI might exploit emotions or manipulate people into harmful choices. The company says it built the first empirically validated toolkit to measure harmful AI manipulation, based on nine studies with more than 10,000 participants across the UK, the US, and India.
OpenAI published a March 19, 2026 overview of its internal coding-agent monitoring stack. The company is using model-powered oversight in real deployments and argues similar safeguards should become standard for internal agent use.
Anthropic published a March 6, 2026 case study showing how Claude Opus 4.6 authored a working test exploit for Firefox vulnerability CVE-2026-2796. The company presents the result as an early warning about advancing model cyber capabilities, not as proof of reliable real-world offensive automation.