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1–10 of 28 articles
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Dark Reading
The new White House Accord on so-called "Super Intelligence" calls on companies to implement greater controls and oversight over AI safety.
Dark Reading
As more reports of misalignment incidents underscore AI risks, large AI labs, regular businesses, and even nations are searching for better ways to keep control and be secure.
Dark Reading
Researchers propose focusing on identification of certain cognitive elements in LLMs that indicate when AI systems may take an unwanted action.
The Register
Redmond open sources two tools for building and maintaining safer agents
Dark Reading
Although the veto was a setback, it highlights key debates in the emerging field of AI governance and the potential for California to shape the future of AI regulation.
Dark Reading
Critics viewed the bill as seeking protections against nonrealistic "doomsday" fears, but most stakeholders agree that oversight is needed in the GenAI space.
The Register
'Ignore previous instructions' thwarts Prompt-Guard model if you just add some good ol' ASCII code 32 Meta's machine-learning model for detecting prompt injection attacks – special prompts to make neural networks behave inappropriately – is itself vulnerable to, you guessed it, prompt injection attacks.…
ZDNet Security
Industry players and governments discuss guardrails for AI, but aren't deploying them. Here's what's missing.
ZDNet Security
UK and South Korea are hosting continued AI discussions -- including safeguards, equitable access, and future innovation.
ZDNet Security
The two countries will build 'suites of evaluations' on public and private models to improve their respective governments' understanding of AI and reduce potential risks.