CIPD FREE08 Videos – People Professionals and Artificial Intelligence (AI)
27 learning videos across 3 learning outcomes, one for each assessment criteria in FREE08.
To develop learners’ understanding of how artificial intelligence is used in people practice, the opportunities and risks it presents, and how HR professionals can use AI responsibly to improve decision-making, efficiency and employee experience.
Learning Outcome 1
Introduction to AI and Automation - Core Definitions
AC 1.1 – Explain what is meant by artificial intelligence and automation in a workplace context
Types of AI in People Practice
AC 1.1 – Explain what is meant by artificial intelligence and automation in a workplace context
Limitations of AI and Key Terminology
AC 1.1 – Explain what is meant by artificial intelligence and automation in a workplace context
AI in Recruitment and Onboarding
AC 1.2 – Discuss common uses of AI in HR (e.g. recruitment, onboarding, learning, performance management)
AI in Learning, Development and Performance Management
AC 1.2 – Discuss common uses of AI in HR (e.g. recruitment, onboarding, learning, performance management)
AI in Employee Relations, Administration and Balancing Benefits with Risks
AC 1.2 – Discuss common uses of AI in HR (e.g. recruitment, onboarding, learning, performance management)
Organisational benefits of AI in people practice
AC 1.3 – Explain the potential benefits of AI for organisations, employees and people professionals
Benefits of AI for people professionals
AC 1.3 – Explain the potential benefits of AI for organisations, employees and people professionals
Benefits of AI for employees and balancing the risks
AC 1.3 – Explain the potential benefits of AI for organisations, employees and people professionals
Learning Outcome 2
Understanding Algorithmic Bias in AI
AC 2.1 – Discuss ethical considerations in the use of AI in people practice (e.g. bias, transparency, fairness)
Transparency, Explainability and Accountability
AC 2.1 – Discuss ethical considerations in the use of AI in people practice (e.g. bias, transparency, fairness)
Trust, Employee Perception and Ethical Governance
AC 2.1 – Discuss ethical considerations in the use of AI in people practice (e.g. bias, transparency, fairness)
Data Protection and UK GDPR Foundations
AC 2.2 – Explain legal and regulatory considerations relevant to AI use in HR
Automated Decision-Making and Equality Law
AC 2.2 – Explain legal and regulatory considerations relevant to AI use in HR
Employment Law and Emerging Regulation
AC 2.2 – Explain legal and regulatory considerations relevant to AI use in HR
Job Redesign in the AI Era
AC 2.3 – Discuss the potential impact of AI on jobs, skills and the employee experience
Skills for Working with AI
AC 2.3 – Discuss the potential impact of AI on jobs, skills and the employee experience
Employee Experience and Managing Change
AC 2.3 – Discuss the potential impact of AI on jobs, skills and the employee experience
Learning Outcome 3
Introduction to AI in HR and practical use cases
AC 3.1 – Explain how HR practitioners can use AI tools to support their work (e.g. content creation, data analysis, communication)
Writing effective prompts for AI tools
AC 3.1 – Explain how HR practitioners can use AI tools to support their work (e.g. content creation, data analysis, communication)
Reviewing AI outputs and maintaining professional judgement
AC 3.1 – Explain how HR practitioners can use AI tools to support their work (e.g. content creation, data analysis, communication)
Accuracy Issues and AI Hallucinations
AC 3.2 – Discuss risks and limitations of AI tools in people practice
Bias, Privacy and Data Protection Risks
AC 3.2 – Discuss risks and limitations of AI tools in people practice
Over-reliance, Human Oversight and Maintaining Professional Judgement
AC 3.2 – Discuss risks and limitations of AI tools in people practice
AI Governance and Acceptable Use Policies
AC 3.3 – Evaluate how organisations can implement AI in people practice in a responsible and controlled way
Risk Management and Human Oversight in AI
AC 3.3 – Evaluate how organisations can implement AI in people practice in a responsible and controlled way
Training and Ongoing Monitoring
AC 3.3 – Evaluate how organisations can implement AI in people practice in a responsible and controlled way