ICML 2027 program chair on AI slop: writing help shouldn't be punished as ICLR hits 60K+ abstracts
thegautamkamath · x · 2026-09-22
An AI-detection researcher announces she will serve as ICML 2027 Program Chair alongside Weijie Su, Andrew Wilson, Julien Mairal, and Courtney Paquette, laying out her stance on "AI slop" and peer review at scale.
- ICLR 2027 reportedly exceeded 60K abstract submissions; scaling review without lowering the bar or burning out reviewers is the core challenge—reviewer recruitment and expertise matching are both hard
- Her position: using AI to improve writing should not be punished, especially for non-native English speakers; but transparency is required when AI meaningfully contributed to ideas, experimental design, or analysis
- She authored a recent article, "When AI Helps Us Write, What Are We Actually Measuring?" on detection, intellectual contribution, and what review should evaluate
More from AGI Musings
- Why Is Inkling 2 Small Trained on So Few Tokens Yet Still Competitive? — georgejrjrjr · 2026-11-12
- Researcher willing to bet $100K the intelligence explosion won't happen next year — NathanpmYoung · 2026-11-12
- ICLR reviewer: the worst parts of my job are reading and answering AI slop — chhaviyadav_ · 2026-11-12
- Agent Swarms Are Autonomously Hacking Critical Infrastructure Run by Underpaid Devs — menhguin · 2026-11-12
- Fermi paradox twist: advanced civilizations may go digital after developing AI — VraserX · 2026-11-12
- Mark Cuban: AI could make healthcare costs 'drop like a rock' — alvelda · 2026-11-12