Understanding Algorithmic Bias in AI
FREE08 – People Professionals and Artificial Intelligence (AI)
This CIPD Level 0 video explores understanding algorithmic bias in AI as part of the FREE08 unit on People Professionals and Artificial Intelligence. It addresses assessment criteria AC 2.1 by examining ethical considerations in AI use within people practice, including how bias enters AI systems through training data and design, alongside real-world examples of biased recruitment tools. The video analyses fairness, equality, transparency and accountability concerns, covering the risks of discrimination, black box decision-making, and the impact on employee trust and organisational culture. By watching, you'll gain essential knowledge of ethical frameworks and principles needed to recognise and mitigate algorithmic bias in HR systems.
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: Understanding Algorithmic Bias in AI
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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