Search: “Tech Transparency Project”

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DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Vulnerability 33 Policy & legal 29 Malware 16 Threat actor 14 Exploit / PoC 14 Ransomware 12 Data breach 12 Industry 10 Phishing & fraud 9 AI industry 4 Research 4 AI research 3 AI tools & infra 3 Advisory 3

SeverityAll critical 69 high 26 medium 25 low 39 info 12

Elektra Labs and CMU collaborate on privacy and security labels of connected health sensors

Help Net SecurityFeb 8, 00:00 UTC · Feb 8, 2021AI research

Advertisers Don’t Want Sites Like Jezebel to Exist

404 MediaNov 10, 17:09 UTC · Nov 10, 2023AI research

Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing

Import AI covers 23 IFP policy ideas for automated AI R&D risks and MIT/Columbia's game theory of AI racing slowdowns.

Think tank IFP published 23 policy recommendations across seven categories to help policymakers address risks from increasingly automated AI R&D. MIT and Columbia researchers released 'Racing to Ruin,' a game theory model showing that coordinated slowdowns between rival AI firms hinge on trust and transparency. The newsletter also links a short story on interacting with powerful AI systems.

Import AIAug 10, 12:32 UTC · Aug 10, 2026AI research