Expanded

AI Ethics: Understanding Bias and Fairness in Your Models

This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.
Course info
Level
Intermediate
Updated
Oct 27, 2020
Duration
30m
Table of contents
AI Ethics: Understanding Bias and Fairness in Your Models
Description
Course info
Level
Intermediate
Updated
Oct 27, 2020
Duration
30m
Description

As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? However, just like humans, AI systems are not exempt from making unfair decisions; sometimes this comes with serious consequences. This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.

About the author
About the author

Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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