The advent of artificial intelligence has ushered in a fourth revolution in human cognitive abilities. However, despite the enormous potential, AI systems can exhibit algorithmic biases that can lead to unfair competition, algorithmic discrimination, and abuse. These biases come from different sources, including subjective factors and cognitive biases of algorithm designers, data bias, and the opacity of the algorithm. In addition, AI algorithms are not value-neutral; they reflect the values of their creators. To address algorithmic bias, while going through the technical aspects of optimizing algorithms, we must also hold AI algorithm designers and users accountable for their actions, ensure the accuracy of data mining, and improve the transparency and interpretability of algorithms.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Li, Sizhe

Subject

• Learning
• Security
• Industry
• Inclusion
• Culture
• Innovation

Publisher

• Worcester Polytechnic Institute

Identifier

• 103371
• E-project-041423-095922

Advisor

• Smith, Therese Mary
• Shue, Craig A.

Year

• 2023

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure
• 10 - Reducing Inequality

Date created

• 2023-04-14

Resource type

• Interactive Qualifying Project

Source

• E-project-041423-095922

Rights statement

• In Copyright

Última modificação

• 2023-06-23