17. Applications and Broader Impact: Optimization

Draft chapter

This chapter collects the broader-impact discussion and readings that accompanied Part IV in AM207 (Harvard, Fall 2021). It will be expanded into a full chapter.

17.1. Readings

Applications and Broader Impact

• FTC Declares Racially Biased Algorithms in Artificial Intelligence Unfair and Deceptive, Prohibited by Law

• Legal requirements on explainability in machine learning

• Blind Justice: Fairness with Encrypted Sensitive Attributes

• Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination

• Equal Protection Under the Algorithm: A Legal-Inspired Framework for Identifying Discrimination in Machine Learning

• The Problematic Nature of Racial and Ethnic Categories in Higher Education

• Gender (mis)measurement: Guidelines for respecting gender diversity in psychological research