Bias and Fairness in Data and AI

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Bias and Fairness in Data and AI

Develop skill to ensure that algorithms that process data are “fair”
Develop your understanding of bias in data and algorithms and actively identify instances of bias in real-world datasets
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.