Finkel Library: Bias and Discrimination in Algorithms and Artificial Intelligence

Video: Brief Explanation of how the training data used to build an algorithm can influence the accuracy and possible bias in the algorithm.

Video: Explains some ways that Algorithmic Bias can occur and how it can result in discrimination.

News story: Explains how algorithms impact what you see on social media.

TED Talk: Joy Buolamwini shares information from here research at MIT on facial recognition software. She also explains ways this information could unintentionally (or maybe intentionally) discriminate against certain groups of people.

Video: Explains some ways that Algorithmic Bias can occur and how it can result in discrimination. Focus on the segment at 4:28-6:02.

Article: Describes real world instances of bias and discrimination that have occurred as a result of algorithms. Check out #2 and #4 specifically for this topic.

Video: Explains some ways that Algorithmic Bias can occur and how it can result in discrimination. Focus on the segment at 7:10-8:50.

Article: Describes several examples of discrimination or bias as a result of algorithms. Check out #1 specifically for this topic.

Article: Describes ways that using algorithms and artificial intelligence can cause discrimination when people apply for loans to buy a house.

Article and Short Video: Explains ways that algorithms don't necessarily remove the possibility of discrimination in the financial industry.

Article: Explains ways that algorithms that are intended to reduce bias in the financial industry, can still perpetuate discrimination. This article includes some complex ideas. Feel free to skim or check in if you need more context to understand any sections.