Chapter 8

Data Risks, Bias, & Ethics

The last chapter and the most important. Everything we've covered in this unit is technical. This chapter is where the technical and the ethical fuse together — covering bias sources, fairness frameworks, explainability, privacy law, and the practitioner's responsibility when shipping AI systems that affect real people.

• 1. Why This Chapter Matters→
• 2. Frameworks for Responsible AI→
• 3. Six Sources of Bias→
• 4. Mitigating Data Bias→
• 6. Transparency, Interpretability, Explainability→
• 7. Privacy and Regulations→