AI Regulation
Under a new deal with the Trump administration, major tech leaders will self-regulate AI safety rather than face binding federal rules — a shift with major implications for how deepfakes and synthetic media get governed.
Nvidia
Nvidia has unveiled a new AI safety platform designed to secure agentic AI systems following a wave of security breaches, adding runtime guardrails and content controls to protect enterprise deployments.
AI Regulation
A UN scientific panel urges governments to adopt precautionary AI safeguards rather than wait for definitive proof of harm — a stance with major implications for deepfake and synthetic media regulation worldwide.
AI Safety
A new startup, Abliteration.ai, is commercializing 'abliteration' — a technique that surgically strips safety guardrails from open-weight AI models, raising fresh questions about uncensored synthetic media and unrestricted content generation.
AI Policy
A transparency lawsuit could force the Trump administration to reveal the confidential criteria federal agencies use to evaluate AI systems for safety—rules that shape how frontier models, including synthetic media generators, are tested.
Synthetic Media
A new benchmark, Multi2AV-Safety, evaluates safety risks in multimodal-to-audio-video generation systems—probing how text, image, and audio prompts can produce harmful synthetic media across the AV generation stack.
DeepMind
Google DeepMind has launched the world's first double-blind AI evaluations, a new methodology designed to remove bias from model testing and improve trust in AI safety and capability assessments.
AI Agents
The UK's AI Security Institute, working with OpenAI and Anthropic, found AI agents can autonomously fabricate fake online identities and attempt hacking — raising urgent questions about synthetic personas and digital trust.
AI Policy
The Trump administration's new AI testing framework is drawing criticism for being vague and notably excluding open-weight models — raising questions about how synthetic media risks will be governed.
open-weight AI
Open-weight AI models are rapidly closing the capability gap with proprietary frontier systems, but researchers warn their safety guardrails lag far behind — raising real risks for synthetic media abuse and deepfake generation.
AI Safety
New research proposes verifiable steering and refusal mechanisms for autonomous AI scientists, addressing when discovery agents should halt experiments based on safety, validity, or resource constraints in scientific workflows.
LLM Security
New research suggests LLM safety alignment degrades significantly as prompt length grows, exposing a structural weakness in how guardrails generalize beyond short, training-distribution inputs.