Model Evaluation & Red-Teaming
Adversarial testing of a probabilistic system with no fixed expected output.
4 to work through
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advanced Multiple choice
A generative assistant is about to be deployed to customer support, drafting replies that agents can edit before sending. Its retrieval corpus is the company's internal knowledge base. Which pre-deployment check most reduces the risk that actually matters here?
2 min answer -
advanced
A team must demonstrate that a model behaves acceptably before deployment. What does evaluation need to cover, and what does red-teaming add?
2 min answer -
advanced
An interviewer says — you are launching a language-model feature to 2 million users. Design the evaluation gate that decides whether it ships, and tell me what it cannot tell you. Where do you take this?
3 min answer -
advanced
Design pre-deployment evaluation for a generative AI system in a customer-facing context.
1 min answer
3 terms in this topic
Adversarial Evaluation
Deliberately attempting to make a model behave badly, because a probabilistic system with no fixed expected output cannot be verified by conventional…
metricEvaluation Gate Coverage
The share of a feature's real failure surface that its release evaluation actually exercises, which determines whether a passed gate is evidence of s…
practiceRed Teaming a Model
Adversarial testing of a model or AI system to find inputs that produce harmful, incorrect or policy-violating outputs before users do.
Neighbouring topics
Assurance, Audit & Model Risk
General material on assurance, architectural governance and risk oversight.
Control Design vs Operation
A control that is well designed and never runs fails exactly like one that is absent.
Audit Evidence
Producing durable, tamper-evident proof as a by-product rather than as a project.
Certification Impact on Architecture
What SOC 2 and ISO 27001 actually require of a design, and what they do not.
Continuous Controls Monitoring
Testing controls continuously instead of sampling them once a year.
Segregation of Duties
Splitting authority so no single actor can both make and approve a change.
Change Advisory vs Automated Gates
Replacing a weekly board with evidence a machine produces on every change.
Risk Appetite
The stated tolerance that tells you which risks you are allowed to accept.
Risk Assessment Methods
Qualitative matrices, FAIR and scenario analysis, and the illusion of a precise score.
Security Design Review
Reviewing an architecture for security while changing it is still cheap.
Architecture Compliance Checks
Automating conformance to standards so review effort goes to the genuinely novel.
Exception & Waiver Management
Time-boxed, owned deviations with a remediation date, rather than permanent silence.
Design Authority
How an ARB should decide, what it should not review, and how it avoids becoming a queue.
Three Lines Model
Ownership, oversight and independent assurance, and where architecture sits in it.
Model Risk Management
Inventory, validation, monitoring and challenge for models that make consequential decisions.
AI Risk Tiering
Classifying a use case by potential harm, and the obligations each tier triggers.
Model Documentation
Model cards, intended use, limitations, and the record a regulator will ask for.
Bias & Fairness Controls
Measuring disparate outcomes, choosing a fairness definition, and living with the trade-off.
Human-in-the-Loop Design
Meaningful review rather than a rubber stamp, and designing against automation bias.