Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
2Distinct papers
64Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2275156099
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- J. Foerster (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Decision Quality: 2 papers
- Governance And Regulation: 1 paper
- Ai Safety And Ethics: 1 paper
- Research Productivity: 1 paper
- Market Structure: 1 paper
- Task Completion Time: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Letting an LLM judge which experiments to run makes AI researchers (agents) more efficient: pretrained preference models lift AIRA-dojo’s AIRS-Bench score from 0.684 to 0.711 (inference-only) and 0.729 (agentic), matching 24‑hour unguided performance in about 15 hours and cutting execution budget by roughly one-third.arxiv | J. Foerster provider id |
2026-08-14 | 0 |
| Aligning an AI to its operator’s wishes is not enough: without institutions that embody shared values, even 'perfectly aligned' systems can produce harmful societal outcomes. The authors propose 'full‑stack alignment'—thick, structured models of value embedded in institutions and systems—to enable normatively competent agents, stewardship, win‑win negotiation, meaning‑preserving economic mechanisms, and democratic regulation.openalex | J. Foerster provider id |
2025-12-03 | 10 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 10 cumulative citations. This is a coverage summary, not an author score or h-index.