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AI Safety

AI Safety news and analysis on Web Pulse: 9296 curated articles tracking the latest AI Safety developments, tools, and research, updated continuously from vetted sources.

9296 articles page 168 of 465 0 sources 30 min sync cycle updated 2026-06-29

// latest articles 9296 indexed

04:00
2026-06-29
helpnetsecurity.com
artificial-intelligence · 1m read · neu

Most teams accept higher risk for faster AI database work

Database professionals are increasingly using AI for tasks like writing queries and reviewing code, with adoption tripling from 15% to 44% of organizations in a year, according to Redgate's 2026 State of the Database Lan…

04:00
2026-06-29
arxiv.org
large-language-models · 1m read · neu

Position: The Term "Machine Unlearning" Is Overused in LLMs

A new position paper argues that the term 'machine unlearning' is overused in large language model research and should be reserved for dataset-defined deletion. The authors contend that many tasks labeled as unlearning, …

04:00
2026-06-29
arxiv.org
large-language-models · 1m read · neu

Mitigating LLM-based p-Hacking by Preregistering for the Next LLM

Researchers propose a protocol to mitigate p-hacking in LLM-based research by preregistering experiments and running them on the first eligible model released after registration. Across 20 models and 11 configurations, t…

04:00
2026-06-29
arxiv.org
large-language-models · 1m read · neu

Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning

Researchers at arXiv introduced a persona-driven rewriting pipeline that conditions user turns on low agreeableness to reduce jailbreak susceptibility and harmful output rates in LLMs fine-tuned for social warmth, preser…

03:26
2026-06-29
letsdatascience.com
artificial-intelligence · 3m read · neu

KPMG Reports 92% View AI Management as Vital

KPMG's Global Tech Report 2026 found that 88% of organizations are embedding agentic AI, but only 24% achieve ROI at scale, and 53% lack the talent to execute transformation plans. Ninety-two percent of executives expect…

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