AI & Technical question

A new frontier-model capability creates meaningful user value but also raises the risk of child-safety misuse. How would you define the minimum safeguard package required before launch: the safety evals, intervention mechanisms, rollout plan, and explicit go/no-go criteria?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests defining a minimum viable safety package, including evals and go or no-go criteria, before launching a capability with child-safety risk.

Identify the specific new risk this capability introduces versus existing capabilities, so the package targets that delta.
Define red-team and safety evals specific to the risk, such as adversarial prompts probing the new capability's failure modes.
Define intervention mechanisms: refusal behavior, detection classifiers, and account-level enforcement for repeat violations.
Design a phased rollout, such as a limited beta with heightened monitoring before general availability.
Set explicit go or no-go criteria tied to eval thresholds, such as a maximum tolerated failure rate on the red-team suite.

Scopes the safeguard package to the specific new risk rather than re-deriving safety from scratch.
Names a concrete go or no-go threshold, for example zero tolerance on a defined set of severe failure categories.
Builds in post-launch monitoring for novel misuse patterns, since red-teaming can't catch everything before release.
Plans the rollout to be reversible, with a kill switch if production monitoring flags a problem.

Who has authority to say no-go if evals are borderline?
How would you monitor for novel misuse patterns you didn't anticipate in red-teaming?