People Professionals And Artificial Intelligence Ai

About this package

People Professionals and Artificial Intelligence (AI) examines how AI and automation are used in the workplace, with a focus on human resources and people management. It begins by distinguishing AI from rule-based automation and explaining concepts such as machine learning, generative AI, predictive analytics and natural language processing. Everyday examples, including chatbots, CV screening and automated onboarding, help learners connect these concepts to activities they may encounter in their own organisations.

The package explores applications across recruitment, onboarding, learning and development, performance management, employee relations and HR administration. It considers potential benefits from three perspectives: organisations, people professionals and employees. These include greater efficiency, reduced administration and more personalised experiences. Rather than treating adoption as an automatic improvement, the content encourages learners to weigh benefits against risks and consider where human judgement remains essential.

Ethical, legal and people implications form a substantial part of the learning. Learners examine fairness, transparency, accountability and trust, alongside the potential for algorithmic bias and discriminatory outcomes. Legal coverage includes UK GDPR, automated decision-making rights, equality legislation and employer responsibilities. The package also considers how AI may change jobs, skills and the employee experience, including job redesign, reskilling, workforce transitions and employee concerns. This connects decisions about technology with HR’s responsibilities towards the people affected by it.

The final part focuses on practical, responsible use. Learners explore prompt writing, using AI as a co-pilot and reviewing outputs such as job descriptions, policy drafts and learning materials. They consider hallucinations, poor data quality, bias and privacy risks before moving on to controlled implementation. Governance, data protection, human oversight, pilot testing, training and ongoing monitoring are brought together in an accountable approach to adoption. The emphasis is on using AI to support professional work while retaining responsibility for quality, fairness and decisions that affect employees.

Who it’s for

This package suits HR practitioners and people professionals who need to understand, use or help introduce AI in their work. It is also relevant to learners preparing for people practice roles, as it starts with foundational concepts before addressing practical use and governance.

What’s covered

1. AI and automation in the workplace

   Introduces AI and automation, explains how they differ, and relates key concepts to HR and people management. Covers the capabilities and limitations of AI and its role in supporting, rather than replacing, the human elements of people practice.

2. Common uses of AI in HR

   Explores AI applications across recruitment, onboarding, learning and development, performance management, employee relations and HR administration. Considers why organisations adopt these tools and the benefits and risks associated with their use.

3. Potential benefits for organisations, employees and people professionals

   Examines potential organisational gains, improvements to HR work and changes to employees’ experience of HR services. Emphasises that benefits depend on thoughtful implementation and clear objectives, while acknowledging the risks of overdependence.

4. Ethical considerations in people practice

   Considers fairness, dignity, transparency, accountability and trust when AI influences employment decisions. Explores algorithmic bias, discriminatory outcomes and the need to align AI use with organisational values.

5. Legal and regulatory considerations

   Examines data protection, equality legislation, employment law and employer responsibilities relevant to AI in HR. Includes UK GDPR requirements, automated decision-making rights and their implications for acceptable use and documentation.

6. Impact on jobs, skills and the employee experience

   Explores how AI can affect job design, skills requirements and employees’ perceptions of work and their employer. Considers workforce transitions, reskilling and HR interventions to support change.

7. Using AI tools to support HR work

   Covers prompt writing and practical ways to use AI for routine tasks, initial drafts, information analysis and decision support. Focuses on reviewing and refining AI-generated content while maintaining professional standards and human oversight.

8. Risks and limitations of AI tools

   Examines accuracy problems, including hallucinations, alongside data quality, bias and privacy concerns. Helps learners identify potential failure points and judge when human review or judgement must take precedence.

9. Responsible and controlled implementation

   Brings together governance, risk management, data protection, human oversight, pilot testing and training. Covers ongoing monitoring and audit checks, including accuracy, fairness and employee satisfaction, with remediation or escalation where needed.

Learning outcomes

By completing this package, learners can:

• Define key workplace AI and automation concepts, including machine learning, generative AI, natural language processing, algorithms, models and prompts, and distinguish AI from rule-based automation.
• Explain common AI applications across recruitment, onboarding, learning and development, performance management, employee relations and HR administration, and summarise the main benefits and risks in each area.
• Apply prompt-writing and basic operational techniques to generate, review and refine AI-produced HR outputs, such as job descriptions, policy drafts or learning materials, using appropriate human oversight and quality checks.
• Analyse limitations and technical risks of AI tools in HR, including hallucinations, data quality issues, bias and privacy concerns, and identify potential failure points in real or hypothetical examples.
• Assess ethical implications of AI in people practice, including fairness, transparency, accountability, trust and the potential for algorithmic bias or discriminatory outcomes.
• Explain legal and regulatory considerations relevant to AI in HR, including UK GDPR, automated decision-making rights, equality legislation and employer responsibilities, and interpret their implications for acceptable use and documentation.
• Evaluate the likely impact of AI on jobs, skills and the employee experience, including job redesign, workforce transition, reskilling and employee perceptions, and justify HR interventions to support change.
• Develop a practical, accountable implementation plan for an AI tool in a people function, including governance controls, data protection, human-in-the-loop processes, pilot testing, training and monitoring metrics.
• Formulate criteria and audit checks to monitor AI performance and compliance in HR, measure accuracy, fairness and employee satisfaction, and identify when remediation or escalation is required.

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