Algorithms in the Age of Capitalism
Chapter Written by Robyn Caplan, Joan Donovan, Lauren Hanson, and Jeanna Matthews[1]
Learning Objectives
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Explain the concept of algorithmic accountability and its importance in societal decision-making.
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Understand the various ways in which algorithms can introduce or perpetuate bias, including through training data and design choices.
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Explain the challenges and complexities involved in auditing algorithms for fairness, transparency, and accountability.
- 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. ↵
