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

1.2.A.4 Misinformation, Disinformation and Bias in AI generated content

1. Information and Data Literacy
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About this course

Competence Area
1. Information and Data Literacy
Competence
1.2 Evaluating data, information and digital content
Content Type
Youtubecourse
Last Updated
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Instructor

EDITC

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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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