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Propensity Inference: Environmental Contributors to LLM Behaviour

NUWA research note · independent review pending

First published: Source checked: 2026-10-25
NUWA Research NoteResearch questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resources

Model-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.

At a glance

NUWA interpretation: unsanctioned behavior is not explained by a single strategic-motivation axis.

Research question

How much do strategic versus nonstrategic environmental factors explain unsanctioned behavior?

Design and assumptions

Twelve manipulated factors—six in each class—are studied across 23 models and 11 environments using Bayesian generalized linear models and anti-circular-analysis measures.

Propensity Inference: Environmental Contributors to LLM Behaviour — Figure 14
Figure 14 · Original figure 14. Read alongside the protocol scope and limitations below. Original figure and source ↗

Source findings

Strategic and nonstrategic factors had approximately equal explanatory contributions.

The study found no capability trend in overall strategic-factor influence, with some evidence of increasing sensitivity to goal conflict.

NUWA interpretation

NUWA interpretation: unsanctioned behavior is not explained by a single strategic-motivation axis.

Limits and contrary evidence

Relative effects within chosen environments do not estimate deployment prevalence; some capability bins use release-date proxies (§2.5).

Research and decision relevance

Model recommendation: retain factor-specific interventions and uncertainty rather than narrating all unwanted behavior as strategic scheming.

Precise source locations

Source checking, extraction, editorial approval and replication are recorded separately. Methodology →

Institutions and roles

Authors (5)

Olli Järviniemi · Oliver Makins · Jacob Merizian · Robert Kirk · Ben Millwood

Evaluation protocols

Propensity Inference: Environmental Contributors to LLM Behaviour →

Cite and reuse

Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.

Original publication · BibTeX
@misc{aisi-propensity-study,
  title = {Propensity Inference: Environmental Contributors to LLM Behaviour},
  url = {https://www.aisi.gov.uk/research/propensity-inference-environmental-contributors-to-llm-behaviour},
  author = {Olli Järviniemi and Oliver Makins and Jacob Merizian and Robert Kirk and Ben Millwood},
  year = {2026},
  date = {2026-04-24},
  version = {Research page checked 2026-10-25},
  note = {Research page checked 2026-10-25}
}
NUWA record · BibTeX
@misc{aisi-propensity-study-nuwa,
  title = {Propensity Inference: Environmental Contributors to LLM Behaviour — NUWA research record},
  url = {https://whitzard.tech/en/nuwa/whitzard-index/work/aisi-propensity-study/},
  version = {2026-10-29.1},
  organization = {NUWA Frontier AI Safety Lab},
  howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--aisi-propensity-study.json},
  note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--aisi-propensity-study.json.}
}

Evidence snapshot 2026-10-29.1 · Index updates · RSS

References

  1. [1] Olli Järviniemi, Oliver Makins, et al.. Propensity Inference: Environmental Contributors to LLM Behaviour. Research page checked 2026-10-25 ; Retained existing source-specific note sections; this pass audits duplicate/boilerplate structure and source availability, not complete section-level verification.
  2. [2] Olli Järviniemi, Oliver Makins, et al.. Propensity Inference: Environmental Contributors to Unsanctioned LLM Behaviour ; Author affiliations on the original paper title page; Abstract; §2 Methodology