Transparency, Explainability and Accountability
FREE08 – People Professionals and Artificial Intelligence (AI)
This CIPD Level 0 video, part of the FREE08 unit on People Professionals and Artificial Intelligence, explores transparency, explainability and accountability in AI-driven HR practices. It examines how algorithmic bias enters AI systems through training data and design choices, illustrating real-world examples of biased recruitment tools and their discriminatory impact on protected characteristics. The video addresses the "black box" problem of AI decision-making, ethical frameworks centred on fairness and accountability, and the importance of explainability in maintaining employee trust and organisational culture. By watching, you'll understand your responsibility as an HR professional to implement ethical AI practices and communicate how AI decisions are made within your organisation.
Assessment Criteria 2.1
Discuss ethical considerations in the use of AI in people practice (e.g. bias, transparency, fairness)
Indicative Content
Algorithmic bias: How bias enters AI (training data, design) Examples (e.g. biased recruitment tools) Fairness and equality: Risk of discrimination Impact on protected characteristics Transparency: “Black box” decision-making Explainability of AI decisions Accountability: Who is responsible for AI decisions? Trust and employee perception: Impact on engagement and culture Ethical frameworks: Principles of fairness, accountability, transparency Real-world examples of AI misuse in HR
What You'll Learn
Video covering: Transparency, Explainability and Accountability
About FREE08 – People Professionals and Artificial Intelligence (AI)
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.
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