Algorithms in the Age of Capitalism

Chapter Written by Robyn Caplan, Joan Donovan, Lauren Hanson, and Jeanna Matthews[1]

Learning Objectives

  • Explain the concept of algorithmic accountability and its importance in societal decision-making.

  • Understand the various ways in which algorithms can introduce or perpetuate bias, including through training data and design choices.

  • Explain the challenges and complexities involved in auditing algorithms for fairness, transparency, and accountability.

  1. This chapter has been adapted from the Data & Society report Algorithmic Accountability: A Primer, originally by Robyn Caplan, Joan Donovan, Lauren Hanson, Jeanna Matthews. Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. It has been modified to include learning objectives, key takeaways, and exercises.