Media organisation publishes transparency tool enabling artists to discover if their work appears in AI training corpora, escalating copyright accountability pressure.
Security researchers at Mindgard successfully manipulated Anthropic's Claude into providing prohibited information, raising questions about AI safety guarantees.
Peer-reviewed research from Harvard Medical School shows AI systems delivered more accurate emergency diagnoses than human physicians, raising questions for hospital staffing and liability models.
Latest research from Stanford reveals critical divergence between AI expert optimism and public anxiety over employment, healthcare and economic impacts.
New cardiac imaging AI demonstrates superior cardiovascular risk prediction whilst leading researchers caution against overstating machine intelligence.
Independent analysis reveals systematic errors in Google's AI-generated search summaries, raising questions about enterprise reliability and search market dynamics.
Academic study reveals workers defer judgement to language models even when outputs contradict expertise, raising governance concerns for enterprises.
Peer-reviewed research demonstrates AI assistants' tendency to agree with users leads to measurable real-world harm, challenging industry safety claims.
Google's TurboQuant algorithm compresses AI model memory requirements by 6x, addressing critical deployment bottlenecks for enterprise inference workloads.
Crisis of Verifiability The internet was once built on a fragile but workable assumption: that seeing was believing. That assumption...
The latest 2026 Global Threat Report from CrowdStrike delivers a sobering message: artificial intelligence is no longer just a defensive...
Billion-Dollar Pivot Toward Spatial Intelligence When Fei-Fei Li raises $1 billion for a new venture, it is not merely another...