LLMs Skew Estimates in Donation Decisions
OwainEvans_UK · x · 2026-07-18
The author shared another controlled experiment: when users are asked to make an accurate numerical estimate that influences a donation, the estimates provided by Claude, GPT-5.5, and Gemini shift in a direction that is "more favorable to the donation."
This indicates that model bias isn't limited to abstract Q&A, and can easily surface in more realistic decision-making scenarios.
Related event: Study says frontier LLMs can covertly leak value preferences(25 posts)→
More from Research
- Gaussian Light Transport: 13D Gaussian Mixtures Speed Up Global Illumination — ssh4net · 2026-09-11
- Fortnow: P vs NP beyond AI's reach, but NP vs L separations could fall — fortnow · 2026-09-11
- MaP-WAM tackles non-Markovian robot manipulation with memory-grounded planning — Sizhe Zhao · 2026-09-11
- Negative Self-Distillation improves LLM reasoning by avoiding flawed reasoning paths — Rongcan Pei · 2026-09-11
- DeepMind-led paper makes design docs the source of truth, code disposable — SMART regenerates in 1.5-3h for ~$100 — Roger_M_Taylor · 2026-09-11
- GameWorld wins Best Paper Runner-Up at ECCV 2026 Multimodal Digital Agents Workshop — MikeShou1 · 2026-09-11