AI basics and data bias risks
1.2.10 Understand at a high level how AI works and recognise that the data, on which AI depends, may include biases and therefore information is reproduced with biases
Topics:
AI generated content
Summary
Microcredential
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What you'll learn
In this video, we explore how AI algorithms process data to shape online content, often inheriting biases from their training datasets. Learn how AI in search engines, social media, and decision-making tools like hiring or policing can reinforce societal biases, creating filter bubbles and unfair outcomes. Discover how biased data affects recommendations, facial recognition, and automated decisions, and explore solutions like diverse datasets, human oversight, and fact-checking to reduce bias and promote fairness in AI-driven systems.
Learning outcome
1.2.10 Understand at a high level how AI works and recognise that the data, on which AI depends, may include biases and therefore information is reproduced with biases
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