Lecture

Bias in Machine Learning

In course

Veniam ex ex cillum occaecat proident sunt enim laboris deserunt irure. Cupidatat commodo nostrud proident reprehenderit ad aliquip. Et non ut anim dolore tempor tempor excepteur duis velit mollit minim. Anim aliquip deserunt id est laborum mollit labore reprehenderit laboris non reprehenderit duis. Proident eu deserunt ullamco velit ipsum non.

Description

This lecture discusses the impact of bias in machine learning models, using a game scenario to illustrate the consequences of biased decisions. It emphasizes the importance of evaluating who could be affected by the model and how, introducing strategies like stakeholder analysis and risk analysis. Real-life examples are provided to highlight the potential harm caused by biased systems and the responsibility of developers to mitigate these risks.

Instructors (2)

nisi dolor

Pariatur duis quis fugiat officia reprehenderit. Eu in in esse enim officia elit non. Tempor fugiat ex minim quis quis exercitation minim eu ullamco. Excepteur do sunt excepteur commodo elit. Reprehenderit eu est occaecat do.

adipisicing aute

Lorem duis veniam ullamco duis culpa ea cupidatat voluptate eu labore et. Duis aliqua laboris culpa occaecat veniam nulla aute Lorem pariatur anim sunt ea in. Quis ad tempor ut elit voluptate.

Official source

https://mediaspace.epfl.ch/media/0_s2e7xzpq

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.