Algorithmic Bias Playbook
This playbook will teach you how to define, measure, and mitigate racial bias in live algorithms. By working through concrete examples—cautionary tales—you’ll learn what bias looks like. You’ll also see reasons for optimism—success stories—that demonstrate how bias can be mitigated, transforming flawed algorithms into tools that fight injustice.
- C-suite leaders: This playbook will help you think strategically about how algorithms can go wrong, and help you lay out oversight structures to prevent bias.
- Technical teams: The difference between biased and unbiased algorithms is often a matter of subtle technical choices. This playbook will help you make those choices better, whether you're a developer or consumer.
- Regulators: This playbook’s practical approach to bias can be used to craft prospective guidance for industry, or to guide retrospective civil investigations.