Human-Centred AI Learning
Practical learning for better human-AI decisions.
ThoughtLab creates evidence-based learning that helps organisations use AI more effectively without weakening judgement, fairness, trust or professional expertise.
Designed for real workplace decisions, not generic AI awareness.
Organisational licences
Featured module
Smarter Recruitment in the Age of AI
Use AI to improve recruitment without undermining decision quality.
AI can make recruitment faster. It can also make poor decisions faster. This module helps recruitment and HR professionals decide where AI adds value, where human judgement still matters, and how to build recruitment processes that are more efficient without sacrificing validity, fairness or candidate experience.
Approx. 60 minutes
Organisational licences
From £50/learner*
*£50 per learner for 50–99 licences. Individual licences are £75 + VAT.
Why this module exists
Organisations are already using AI across recruitment, often without a clear framework for deciding where it should and should not be used.
Subjective Criteria
AI-generated criteria that are not genuinely job relevant
Poor Prompting
Weak interview questions generated from generic prompts
What participants will learn
Decide where AI belongs
Identify where AI can support recruitment and where greater human oversight is needed.
Protect professional judgement
Recognise automation bias, cognitive offloading and over-reliance on AI outputs.
Respond to candidate AI use
Think more clearly about how candidate use of generative AI affects assessment design and interpretation.
Automation Bias
Automation bias and over-reliance on AI outputs
Candidate AI Use
Uncertainty around candidate use of AI
Inconsistency
Inconsistent use of AI across hiring teams
Defensibility Risks
Reduced transparency and defensibility
Start with the job, not the AI
Use job analysis and job-relevant evidence as the foundation for AI-assisted recruitment.
Build stronger selection processes
Use AI in ways that support validity, consistency and fairness.
Evaluate the whole process
Balance efficiency with decision quality, fairness and candidate experience.
Weak Screening
Poorly designed AI-assisted screening
Efficiency Trap
Faster recruitment processes without better decisions