AI personality traits, skills, drives?

Does AI have personality traits, skills, drives?

Artificial intelligence is already shaping hiring, assessment, and talent decisions. But a critical question is still being overlooked by many organisations:

If AI is making judgments about people, shouldn’t we understand its psychological profile?

This is the core idea behind a major 2024 research paper that has gained strong traction among psychometricians and AI researchers on LinkedIn. The study applies established psychological inventories to large language models (LLMs), treating AI not just as a tool, but as a measurable decision-making agent.

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Why This Research Matters to HR

Most HR conversations about AI focus on speed, automation, and cost reduction. Very few focus on measurement validity, bias, or construct drift.

This research flips the conversation. Instead of asking “What can AI do?”, it asks:

  • What traits does AI consistently display?
  • How stable are those traits across prompts and contexts?
  • What risks emerge when we deploy psychologically opaque systems in people decisions?

For HR leaders responsible for governance, fairness, and defensibility, these questions are no longer optional.

Applying Psychometrics to AI Systems

The researchers used well-established psychometric personality frameworks and applied them directly to large language models. Instead of human respondents, the AI system itself “answered” standardised psychological items.

The results were striking:

  • AI systems displayed stable trait-like patterns
  • Different models showed different psychological profiles
  • Trait expression varied systematically by prompt structure

In psychometric terms, this suggests AI models exhibit something akin to latent psychological constructs – even though they were never designed with this in mind.

The Hidden Risk in AI-Based Assessment

If an AI tool is screening CVs, scoring video interviews, or ranking candidates, then its latent traits matter.

An AI system high on “risk aversion”, for example, may consistently penalise unconventional career paths. One that mirrors high “conscientiousness” may favour traditional credentials over potential.

Without measurement, these patterns remain invisible – and therefore ungoverned.

Why HR Needs Psychometric Oversight of AI

HR leaders are increasingly being asked to sign off on AI-driven decisions. That creates legal, ethical, and reputational exposure.

This research reinforces a simple truth:

You cannot responsibly deploy AI in people decisions without understanding its behavioural profile.

The same standards we apply to human assessments – reliability, validity, bias analysis – must now apply to AI systems.

Commercial Implications for Organisations

Organisations that understand the psychometric properties of their AI tools gain:

  • Greater decision consistency
  • Reduced bias risk
  • Stronger legal defensibility
  • Higher stakeholder confidence

This is not about slowing innovation. It is about making AI fit for purpose in high-stakes human contexts.

What This Means for Senior HR Leaders

AI governance is rapidly becoming a board-level issue. This research gives HR leaders a language they already understand: measurement quality.

The future of AI in HR will belong to organisations that treat AI not as a black box, but as a system that can – and must – be measured.

AI has a personality. The only question is whether you are measuring it.

(Based on: Pellert et al., 2024 – AI psychometrics applied to LLMs)

For more AI assessment resources

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

and

psychometrics.

2026 Rob Williams Assessment. This article is educational and not legal advice. Always align to your local jurisdiction, counsel, and internal governance requirements.