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Home Specialist skills Bias and Fairness in Data and AI

Bias and Fairness in Data and AI

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    Develop skill to ensure that algorithms that process data are “fair”
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    Develop your understanding of bias in data and algorithms and actively identify instances of bias in real-world datasets
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    Uncover the impact and consequences of bias in data and artificial intelligence

Overview

Off the shelf (OTS)

In Bias and Fairness in Data and AI, you explore the fundamental concept of bias and its implications in data collection, analysis, and AI applications. You will develop the skills to detect bias at various stages of the data lifecycle, understanding the deceptive power of numbers, and statistical techniques to uncover hidden truths. Whether you're a data scientist, a machine learning engineer, a policymaker, or simply curious about the impact of data and AI on society, this course is tailored to provide valuable insights and practical strategies.

Delivery method
Virtual icon

Virtual

Course duration
Duration icon

3 hours

Competency level
Working icon

Working

Pink building representing strand 4 of the campus map
Delivery method
  • Virtual icon

    Virtual

Course duration
Duration icon

3 hours

Competency level
  • Working icon

    Working

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