A Blueprint for Keeping Humans in Control of AI
September 10, 2026 | by Katie Gilbert In Brief Stanford GSB researchers are building frameworks that keep AI under human control even as they become more autonomous. In a cooperative game, an AI agent learns when to check in with a person and when to act alone. Another framework sets up effective oversight of an untrusted model by pools of human or AI supervisors.
- ▪September 10, 2026 | by Katie Gilbert In Brief Stanford GSB researchers are building frameworks that keep AI under human control even as they become more autonomous.
- ▪In a cooperative game, an AI agent learns when to check in with a person and when to act alone.
- ▪Another framework sets up effective oversight of an untrusted model by pools of human or AI supervisors.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,939 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Stanford Graduate School of Business |
| Canonical URL | https://www.gsb.stanford.edu/insights/blueprint-keeping-humans-control-ai |
| Publication time | Tue, 15 Sep 2026 07:08:38 +0000 |
| Retrieval time | 2026-09-15T07:21:52.102Z |
| Last seen | 2026-09-15T07:21:52.102Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | EUGl3X_bAZ3B · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
September 10, 2026 | by Katie Gilbert In Brief Stanford GSB researchers are building frameworks that keep AI under human control even as they become more autonomous. In a cooperative game, an AI agent learns when to check in with a person and when to act alone. Another framework sets up effective oversight of an untrusted model by pools of human or AI supervisors. William Overman began his PhD program at Stanford Graduate School of Business in an auspicious moment: just two months before ChatGPT publicly launched in November 2022, exploding the widely held understandings of what machines are capable of. Even as Overman began enlisting AI for his research, he grew wary of where the technology was headed.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Stanford Graduate School of Business.
Discussion
0 commentsMore from Stanford Graduate School of Business
