AI Situational Judgement Tests

AI performance is usually measured using benchmarks, accuracy scores, and technical metrics. But when AI is deployed in human decision-making contexts, those measures fall short.

A recent research paper proposes a solution HR leaders will immediately recognise: situational judgement testing.

The Limits of Technical Benchmarks

Accuracy does not equal judgment.

An AI system can score highly on benchmarks while still making poor decisions in real-world human contexts. This mirrors a long-standing insight in psychometrics: intelligence alone does not predict performance.

How can Rob Williams Assessment help?

AI works best when it is paired with robust psychometrics. That means clear constructs, credible evidence, and defensible decision rules. Rob Williams Assessment supports organisations with:

  • Technical psychometric manual checking or creation: currently working on two of these for clients. We’ve previously created SJT and IRT-based aptitude manuals for the Civil Service, SJT personality and ability tests for the Army, and verbal/numerical reasoning and literacy/numeracy test manuals for IBM Kenexa.
  • Reviewing the potential application of AI within your organisation? A short, evidence-led review can clarify where AI adds insight — and where traditional expert judgement remains essential.
  • Assessment strategy: simulations, SJTs, and psychometric tools that provide stronger evidence than profiles alone
  • Vendor evaluation: independent due diligence on claims, outputs, and fairness
  • Validation and reliability checks, or new research

Contact Rob Williams Assessment Ltd

E: rrussellwilliams@hotmail.co.uk

M: 077915 06395

If you want a broader introduction to AI-enabled assessment design, you may find these helpful:

Why SJTs Work for Humans – and AI

SJTs assess:

  • Judgment under ambiguity
  • Value trade-offs
  • Context-sensitive decision making

The research demonstrates that these same principles can be applied to AI systems.

What This Means for HR Applications

If AI is screening candidates, recommending promotions, or shaping workforce decisions, it must demonstrate appropriate judgment – not just technical competence.

SJT-style evaluation reveals:

  • Hidden biases
  • Ethical blind spots
  • Inconsistent decision logic

Want a sanity-check before you buy?

Rob Williams Assessment Ltd supports organisations with AI vendor selection, and best practice psychometric test design and assessment strategy. If you want a short, practical review of your current approach, build a one-page brief outlining your use case, and we can stress-test it for you.

A New Standard for AI Governance

This research aligns AI evaluation with how HR already evaluates people. That is its greatest strength.

Instead of inventing new metrics, it extends proven assessment science into AI governance.

The Strategic Advantage

Organisations that adopt human-centred AI evaluation gain:

  • Stronger compliance positioning
  • Greater stakeholder trust
  • Better real-world outcomes

AI does not need more benchmarks. It needs better judgment tests.

That is a language HR already speaks.

(Based on: Yost et al., 2025 – SJTs for AI evaluation)


Call Rob Williams at 077915 06395, or email rrussellwilliams@hotmail.co.uk

Using AI in Psychometric Test Design Guides


For general background, see Wikipedia’s introductions to
artificial intelligence

and

psychometrics.

Have a psychometrics question?

Rob Williams

Rob can advise based on his 25 years psychometric test experience.

He has designed tests for leading UK test publishers (TalentQ, Kenexa IBM and CAPPFinity). Plus, most of the leading independent school test publishers: GL Assessment ; Cambridge Assessment ; Hodder Education, and the ISEB.

(c) 2026 Rob Williams Assessment. This article is educational and not legal advice. Always align to your local jurisdiction, counsel, and internal governance requiremFor more AI assessment resources