The promise of artificial intelligence lies in automated decision-making at scale, which also means automating risk. Are you ready for that risk? Many companies have faced significant issues when their algorithms resulted in discriminatory, privacy-invading, or even fatal outcomes. Self-driving cars have struck pedestrians, HR algorithms have excluded women from job searches, and mortgage systems have denied loans to qualified minorities. Often, the companies deploying AI cannot explain the decisions made by these "black boxes." In this context, AI ethics becomes a vital business necessity rather than an academic curiosity. The author provides essential insights into understanding AI ethics as a risk management challenge, guiding you to build, procure, and deploy AI ethically and safely at scale. The writing is clear and accessible, making complex ethical concepts easy to grasp without heavy philosophical deliberation. The author addresses key ethical risks—bias, explainability, and privacy—offering actionable strategies to mitigate them. From crafting a strong statement of AI ethics principles to forming teams that effectively assess ethical risks, this guide equips you to ensure your AI is unbiased, transparent, and respectful.
