How to Use AI for HR and Talent Decisions: A Guide for CHROs and People Directors

AI is widely used in recruitment for CV screening, job description optimisation, interview scheduling, and candidate communications. For high-volume recruitment, AI screening tools can process large numbers of applications and surface candidates who meet defined criteria faster than human reviewers.

The governance risk is well-documented: AI screening models trained on historical hiring data can encode and amplify historical biases. If your historical hiring data reflects a pattern of hiring certain demographic groups over others, an AI trained on that data will perpetuate and potentially amplify that pattern. The UK Equality Act 2010 and ICO guidance on automated decision-making create legal obligations around fairness in AI-assisted recruitment.

Practical approach: use AI for initial screening with explicit, documented criteria rather than training on historical decisions. Apply human review to all screened-out candidates in protected groups. Audit screening outcomes regularly for demographic disparities. Do not use AI as the sole decision-maker for any individual screening or rejection decision.

For CHROs with engagement survey data, AI can analyse free-text responses at scale to identify themes, sentiment, and specific concerns that statistical scoring does not capture.

Ask Claude or ChatGPT: 'Analyse these employee survey open-text responses [paste anonymised data]. What are the three to five most frequently mentioned themes? What is the overall sentiment? Are there any specific concerns that appear repeatedly that the quantitative scores may not be capturing?'

This analysis, which might take a team several days to complete manually, can be completed in minutes. The output is a structured synthesis that focuses subsequent action planning on the themes that matter most.

Governance consideration: ensure survey responses are fully anonymised before passing to AI tools. Individual employees who provided free-text responses did so on the understanding that their responses were confidential. Maintain that confidentiality rigorously.

For workforce planning, AI can rapidly model scenarios: 'Given the headcount reductions we are planning in [function], what skills gaps are we likely to create and what are the retraining or backfill options for each?' This scenario modelling is faster with AI assistance and allows CHROs to present boards with better-analysed options.

For HR communications, AI assists with drafting: policies, manager guidance documents, communications about organisational changes, and HR letters. These drafts require careful review, particularly for legal accuracy, but AI significantly accelerates the drafting process.

Ask Copilot or Claude: 'Draft a manager communication about the upcoming annual appraisal process, including the timeline, the process steps, and the key principles we want managers to apply. Tone: clear, supportive, practical.'

For sensitive HR communications (redundancy notifications, performance improvement communications), use AI for structural drafting but have every communication reviewed by HR and legal before issue. The legal precision and appropriate tone of sensitive HR communications requires professional review that AI cannot substitute.

HR applications of AI carry specific governance requirements that people directors must ensure are in place.

Transparency: individuals affected by AI-assisted HR decisions have a right to know that AI was used and, in many cases, a right to an explanation of the AI's contribution to the decision. Document where AI is used in HR processes and ensure you can provide required explanations.

Human oversight: all AI-assisted HR decisions affecting individuals should have a defined human review stage. AI can inform and accelerate; it should not be the final decision-maker for individual employment decisions.

Bias monitoring: any AI system used in HR processes should be subject to regular bias monitoring: do outcomes differ systematically by gender, ethnicity, age, or disability status in ways that are not justified by legitimate criteria? If so, investigate and act.

Data governance: HR data is typically special category data under UK GDPR (where it relates to protected characteristics) and is subject to heightened obligations. AI tools used in HR must be governed under appropriate data protection frameworks.