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Response snapshot Oct 27, 2026, 01:13 UTC

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Detecting and reducing scheming in AI models

Apollo Research and OpenAI developed evaluations for hidden misalignment (“scheming”) and found behaviors consistent with scheming in controlled tests across frontier models. The team shared concrete examples and stress tests of an early method to reduce scheming.

At a glance

AI involvement
Defensive AI research (confirmed by source)
Sources
1 source

What to do

Read the original post for its scope and limitations before applying its findings.

Read OpenAI: Detecting and reducing scheming in AI models (opens a new tab)

AI involvement

Confirmed by the linked source

Defensive AI research

The source describes AI used to find or fix security problems, or safety research. Disclosed by OpenAI, the organization that runs or studies the system.

Read the attribution evidence (opens a new tab)

Sources

  1. Primary source

    OpenAI: Detecting and reducing scheming in AI models (opens a new tab)

    The organization's own post describing safety or security research; authoritative for what it states, not independently verified here.

    Published Checked

  2. Primary source

    OpenAI syndication feed (opens a new tab)

    The RSS/Atom/RDF entry supplied this exact link and any available title, date, and excerpt.

    Published Date not suppliedChecked

Cite this record

For factual claims, cite the primary sources above; cite KEVWire for its compilation, dates, and classifications.

APA

KEVWire. (2025, September 17). Detecting and reducing scheming in AI models. https://kevwire.com/record/openai-detecting-and-reducing-scheming-in-ai-models-bef6cbe2a83e

MLA

"Detecting and reducing scheming in AI models." KEVWire, 17 Sept. 2025, kevwire.com/record/openai-detecting-and-reducing-scheming-in-ai-models-bef6cbe2a83e.

Chicago

KEVWire. "Detecting and reducing scheming in AI models." Last modified September 17, 2025. https://kevwire.com/record/openai-detecting-and-reducing-scheming-in-ai-models-bef6cbe2a83e.

Evidence summary (plain text)

Detecting and reducing scheming in AI models (Sep 17, 2025).
Apollo Research and OpenAI developed evaluations for hidden misalignment (“scheming”) and found behaviors consistent with scheming in controlled tests across frontier models. The team shared concrete examples and stress tests of an early method to reduce scheming.
AI classification: defense; evidence: confirmed. The source describes AI used to find or fix security problems, or safety research. Disclosed by OpenAI, the organization that runs or studies the system.
Sources:
OpenAI: Detecting and reducing scheming in AI models: https://openai.com/index/detecting-and-reducing-scheming-in-ai-models
OpenAI syndication feed: https://openai.com/news/rss.xml
Record ID: openai-detecting-and-reducing-scheming-in-ai-models-bef6cbe2a83e.
Record origin: Ingested record.
AI evidence: Confirmed by the linked source.
About this data

This record was ingested from a data source. Retrieved: Oct 27, 2026, 00:55 UTC. Ingestion is not an independent editorial investigation.

Published by OpenAI; not independently reviewed by KEVWire. Consult the exact article and any primary disclosure it links.

Technology tags indicate possible relevance, not verified exposure. Confirm the affected product, version, and configuration against your own inventory; KEVWire does not scan your systems.

A personal reading checklist on this device, not verified remediation.

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