AINewsnow

Researchers propose automating red-teaming for subtle emergent misalignment

Alignment researchers including Oscar Balcells Obeso, Richard Qi, Monte MacDiarmid, and Evan Hubinger describe an effort to automate red-teaming to detect subtle emergent misalignment as human testing struggles to keep pace with improving models.

Read the full story at Alignment Forum ↗

Timeline · 1 report

  1. 2026-11-03 18:27 · Alignment Forum
    Automating subtle emergent misalignment research

More stories

  1. Postman's silent self-install into Claude Code and Codex sparks security concerns — Runway Research
  2. Democrats' midterm wins cloud outlook for AI data center boom — DigiTimes Asia
  3. Google to cut off search access for schools that ban AI, drawing political backlash — Forbes AI
  4. UK cyber agency warns AI-powered malware likely to hit critical infrastructure by 2028 — The Guardian AI
  5. OpenAI weighs rebranding data centers as 'AI compute campuses' amid growing public backlash — Techmeme
  6. Anthropic reports 1,100% revenue surge and $895B compute commitments ahead of IPO — Reuters AI
  7. AI inference startup Fal raises $1.3B at $16B valuation in Bessemer-led round — Bloomberg AI
  8. OpenAI hires Uber President Jill Hazelbaker as chief corporate affairs officer — OpenAI News

Get the daily brief of stories like this at 6:30 every morning →