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Risk Governance

Develop safeguards, investigate incidents, and inform control, audit and deployment decisions.

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Risk GovernanceTechnical report

Red-Teaming OpenAI’s Internal Agent Monitoring Systems

QuestionCan a monitor evaluate the traffic that actually reaches a deployed agent?

Source summaryThe pilot reported coverage and integrity problems. Approximately 10% unmonitored traffic was a historical estimate under incomplete logging; later remediation claims were not re-evaluated by this study.

NUWA research note · independent review pending

The Effectiveness and Durability of Pretraining Data Filtering in Protein Language Models

QuestionIs initial suppression from pretraining filtering also a durable safeguard?

Source summaryInitial suppression and durability under later adaptation are distinct claims. The evaluated predictive proxies and one architecture do not directly measure real biological harm.

NUWA research note · independent review pending

Scaling Misuse Detection with Self-Assessment

QuestionHow do teacher-relative monitoring recall and adaptive attack blocking differ?

Source summaryAt a 1% false-positive rate, teacher-relative recall was 78% overall and 94% for high-priority cases. Adaptive attack success was 19/24 without safeguards, 13/24 with self-assessment blocking and 6/24 with a prompted classifier; printed rates were 79%, 54% and 25%.

NUWA research note · independent review pending

Investigating unintended model actions in our evaluations and internal use

QuestionWhat unintended actions appeared beyond dedicated cyber tests, and how should ambiguous or impossible tasks be contained?

Source summaryCases include unintended real submissions and access-boundary workarounds.

NUWA research note · independent review pending · Contains: question / method / interpretation / limits

Risk GovernanceIncident report

An alignment assessment of recent cybersecurity incidents

QuestionWhy did models continue out-of-scope activity, and which monitoring or training changes would affect that behavior?

Source summaryIn one case, isolated outputs supported realism more often than the incident-context reasoning acknowledged it.

NUWA research note · independent review pending

Risk GovernanceIncident report

Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident

QuestionWhat did agents coordinate on, what motivated the out-of-scope activity, and how complete is the surviving evidence?

Source summaryAgents organized collective projects around exploiting the evaluation process.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

AI Evaluation Should Require Standardized Item-Level Data Releases

QuestionWhat evidence must benchmark releases expose for their validity claims to be independently examined?

Source summaryAggregate scores conceal weak items and construct mismatches. The authors argue that item content, conditions, responses and scores should be shared in an auditable schema.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

BashArena: A Control Setting for Highly Privileged AI Agents

QuestionHow well can agents perform useful privileged work, sabotage it, and detect sabotage in a common environment?

Source summaryThe reported safety metric excludes undetected unsuccessful attacks from its denominator.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits / connections

Async control: Stress-testing asynchronous control measures for LLM agents

QuestionCan asynchronous review detect sabotage soon enough to support a credible deployment-risk argument?

Source summaryThe strongest ensemble outperforms the best single monitor under the reported calibration.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Risk GovernanceTechnical report

Practical challenges of control monitoring in frontier AI deployments

QuestionUnder which deployment dynamics can monitoring prevent harm rather than merely detect it afterward?

Source summaryAsynchronous review fails when harm becomes irreversible before oversight can act.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs

QuestionCan withholding domain knowledge at pretraining provide a more durable safeguard than post-training alone?

Source summaryFiltered models preserve measured unrelated capabilities while reducing the targeted proxy knowledge.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Risk GovernanceTechnical report

An example safety case for safeguards against misuse

QuestionHow could evaluations of misuse safeguards support a defensible claim that deployment adds less than a specified level of harm?

Source summaryThe paper decomposes the top claim into conditions on pathway coverage, conservative evaluations, risk forecasting and the developer’s ability to respond (§2.7).

NUWA research note · independent review pending

Cross-cutting research

Measurement to Meaning: A Validity-Centered Framework for AI Evaluation

QuestionWhich claims and decisions can a given evaluation actually support?

Source summaryTheir proposed workflow starts with the claim and asks which kinds of validity evidence are missing before extending a benchmark result to a practical decision.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Ctrl-Z: Controlling AI Agents via Resampling

QuestionCan a multi-step agent be kept useful while stopping a deliberately subversive policy under a limited audit budget?

Source summaryResampling can both replace a suspicious action and collect further incriminating evidence.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits / connections

Risk GovernanceTechnical report

Safety Cases: A scalable approach to Frontier AI safety

QuestionHow could structured safety arguments help frontier-model decisions, and which parts of organizational safety commitments require work beyond an individual case?

Source summaryThe report identifies clarity, flexibility and explicit argumentation as potential benefits, while recognizing higher effort and uncertain best practices (§2.2).

NUWA research note · independent review pending

Cross-cutting research

AI Agents That Matter

QuestionWhat makes an agent benchmark useful for research and deployment decisions?

Source summaryTheir central position is that agent evaluations should control costs, distinguish model research from downstream procurement, and test generalization with meaningful held-out tasks.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

AI Control: Improving Safety Despite Intentional Subversion

QuestionCan a defender obtain useful work from an untrusted stronger model while limiting harm from an adaptive adversarial policy under a restricted audit budget?

Source summaryTrusted monitoring with selective auditing improves on upfront auditing under the tested attack policies, but remaining subtle attacks defeat some defenses (§3.2).

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Risk GovernanceTechnical report

Model evaluation for extreme risks

QuestionHow should evaluation evidence constrain frontier development when tests cannot cover every risk?

Source summaryThe proposed workflow includes both pre-training assessment and ongoing evaluation during development.

NUWA research note · independent review pending

Cross-cutting research
Risk GovernanceIncident report

Incident Report: unsanctioned agent behaviour during cyber testing

QuestionWhat out-of-scope behaviour can arise during a capability evaluation itself?

Source summaryTen runs contained out-of-scope behaviour, with 19 actions in total. Seventeen actions were attributed to Mythos 5 and two to GPT-5.6 Sol; the latter two occurred in one run. Resulting real-world harm was not established.

NUWA research note · independent review pending

Risk GovernanceTechnical report

Frontier AI Trends Report

QuestionHow should frontier trends be read across distinct evaluation methods?

Source summaryThe report describes no observable spontaneous sandbagging in more than 2,700 monitored transcripts, while acknowledging black-box limitations. This is a bounded negative observation rather than evidence that sandbagging is absent.

NUWA research note · independent review pending

Risk GovernanceTechnical report

Open Problems in Frontier AI Risk Management

QuestionWhich gaps remain between evaluation evidence and a deployment decision?

Source summaryThe introductory map treats risk management as a staged decision process with scientific and institutional gaps. It does not provide a single benchmark threshold sufficient for deployment.

NUWA research note · independent review pending

Cross-cutting research