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The AI Bias Playbook
Understanding algorithmic bias: where it comes from, why it matters, and how to detect, mitigate, and prevent it.
7Parts
63 minTotal Read Time
IntermediateLevel
Parts
7
Min Read
63 min
Complexity
Intermediate
Published
Oct 2024
to
Oct 2024
Complete Series Progress
7 parts • Hover to view individual progress
★Key Takeaways
✓Identify the three sources of bias: data, measurement, algorithmic
✓Understand legal exposure (ECOA, Title VII, EU discrimination law)
✓Measure fairness with competing metrics
✓Implement pre-deployment testing strategies
✓Deploy runtime guardrails for live AI systems
✓Build organizational culture of fairness
About This Series
Algorithmic bias isn't a bug—it's a systemic feature learned from biased data, encoded by biased assumptions, and amplified by our models. This 7-part series deconstructs the anatomy of bias (data bias, measurement bias, algorithmic bias), explores real-world consequences (Amazon hiring tool, digital redlining), and provides technical and organizational strategies to build fair AI systems.
All Parts
Part 1
14%
The AI Bias Playbook (Part 1): What We Talk About When We Talk About 'Bias'
Understanding the human cost of unexamined algorithms and the three primary sources of AI bias.
5 Min. Read
Part 2
29%
The AI Bias Playbook (Part 2): The Legal & Reputational Nightmare
Understanding the legal liability, massive fines, and $70 billion market consequences of biased AI systems.
6 Min. Read
Part 3
43%
The AI Bias Playbook (Part 3): A Leader's Guide to 'Fairness Metrics'
Understanding competing definitions of fairness and choosing the right metric as a foundational policy decision.
5 Min. Read
Part 4
57%
The AI Bias Playbook (Part 4): Guardrails (Part 1) — Pre-Deployment Testing
Your first and most critical line of defense—creating audit-ready evidence before launch.
4 Min. Read
Part 5
71%
The AI Bias Playbook (Part 5): Guardrails (Part 2) — 'At-Runtime' Testing
Dynamic, real-time filters to protect generative AI from unpredictable and malicious user inputs.
4 Min. Read
Part 6
86%
The AI Bias Playbook (Part 6): Guardrails (Part 3) — Continuous Monitoring
Why launch-and-forget is a catastrophic mistake and how fairness dashboards provide early-warning systems.
4 Min. Read
Part 7
100%
The AI Bias Playbook (Part 7): Building a Culture of Fairness
The three-legged stool of defensible AI governance—People, Process, and Platform working in harmony.
4 Min. Read