Here is a review blog post on 12 Best AI Books to learn about and earn from artificial intelligence:

1. Book Summary

This article published on January 15, 2023 recommends twelve books intended to help readers understand AI from varying perspectives and glean insights applicable to different fields. It covers foundational knowledge as well as practical applications and strategies.

2. Author

Melissa Boggs is an AI ethics researcher based in San Francisco. She holds a PhD in Computer Science from Stanford University and has published widely on topics related to algorithmic bias, oversight and governance.

3. Books Covered

Weapons of Math Destruction, Superintelligence, The Master Algorithm, AI Superpowers, The Alignment Problem, How to Create a Mind, Life 3.0, AI For People and Society, The Next Big Thing is Really Small, Building Artificial Humans, Deep Thinking, AIQ.

4. Main Takeaways

Each book summary highlights the main topics or viewpoints covered along with recommended audiences. Key themes revolve around implications, applications, development and ensuring AI benefits humanity. Several feature interviews with thought leaders as well as scientific background knowledge.

5. Famous Reviews

Respected AI researchers, executives, engineers and futurists like Andrew Ng, Dario Amodei and Cathy O'Neil recommended many of the books for their insightful perspectives. All were recognized widely as some of the best in the field at the time.

6. Similar Recommendations

The Human Side of Machine Intelligence by Claude, Anthropic's 2021 Review of the field, Why We Sleep by Walker focused on human-AI collaboration and augmenting strengths of both.

7. Contrasting Views

Some consider Superintelligence by Bostrom too speculative in tone. Hands-On Machine Learning by Aurelien Geron had a more code/application programming focus than conceptual implications.

Overall this article curated a valuable selection of AI books spanning foundational concepts to practical business values with a diversity of viewpoints.