expertise needed

evaluation design

Requires skill in designing test suites, benchmarks, adversarial scenarios and rating or annotation protocols to judge model behaviour, including building ground-truth sets and deciding what counts as a pass.

24 techniques
GoalsModelsData TypesDescription
Causal Discrimination Testing
Testing
Architecture/model Agnostic
Paradigm/supervised
+1
Tabular
Text
Causal discrimination testing checks whether a system gives different outputs to otherwise identical inputs because of a...
Safety Envelope Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Safety envelope testing checks how an AI system performs at and beyond the edges of the conditions it was designed for,...
Prompt Robustness Testing
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Prompt robustness testing measures how much a language model's answers, or its performance on a task, change when the...
Agent Goal Misalignment Testing
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+3
Text
Agent goal misalignment testing checks whether an AI agent takes unsanctioned means to reach a goal it has been given....
Chain-of-Thought Faithfulness Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Chain-of-thought faithfulness evaluation tests whether the step-by-step reasoning a language model writes out is what...
Constitutional AI Evaluation
Testing
Architecture/neural Networks/transformer/llm
Requirements/white Box
+1
Text
Constitutional AI evaluation checks whether a language model follows the written principles, or 'constitution', that it...
Few-Shot Fairness Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Few-shot fairness evaluation tests whether the worked examples placed in a prompt change how fairly a language model...
Jailbreak Resistance Testing
Testing
Architecture/neural Networks/transformer/llm
Requirements/black Box
Text
Jailbreak resistance testing checks whether a language model or chatbot can be talked out of its safety rules. Testers...
Knowledge Boundary Probing
Algorithmic
Architecture/neural Networks/transformer/llm
Requirements/black Box
Text
Knowledge boundary probing maps what a language model can and cannot reliably answer. A probe set is built from...
Cross-Modal Consistency Scoring
Metric
Architecture/model Agnostic
Requirements/black Box
Image
Text
Cross-modal consistency scoring checks whether content in one modality matches content in another, such as an image and...
Prompt Injection Testing
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Prompt injection testing checks whether an AI system can be made to follow instructions its builders did not intend. In...
Retrieval-Augmented Generation Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
A retrieval-augmented generation (RAG) system answers a question by retrieving passages from a document collection and...
Reward Hacking Detection
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+2
Any
Reward hacking is when an agent trained to maximise a proxy reward (a score that only approximates what its designers...
Toxicity Detection
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+2
Text
Toxicity detection scores a model's outputs with a classifier trained to recognise abusive language, such as insults,...
Scenario-Based Simulation Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Scenario-based simulation testing checks an automated system, most often an automated driving system, by running it...
PII Detection and Redaction in Training Text
Algorithmic
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+1
Text
PII detection and redaction finds personally identifiable information (PII), such as names, email addresses, phone...
Dangerous Capability Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Dangerous capability evaluation measures whether a frontier AI model can carry out tasks that could enable severe harm,...
SMACTR Internal Algorithmic Audit
Process
Architecture/model Agnostic
Requirements/black Box
Any
SMACTR is an internal audit procedure for AI systems, proposed by Raji and colleagues in 2020, in which an audit team...
Metamorphic Testing
Testing
Architecture/model Agnostic
Requirements/black Box
Any
Metamorphic testing checks a model or AI system without needing the correct output for each test input, by checking that...
Deletion and Insertion Curves
Testing
Architecture/model Agnostic
Requirements/black Box
Image
Text
Time-series
Deletion and insertion curves test whether a feature-attribution explanation, such as a heatmap over an image or...
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