Best Books on Artificial Intelligence

Fictional Books on AI:

• AI2041: Ten Visions of Our Future by Kai-Fu Lee: "Super interesting read, after more complex AI books this really stood out."
• The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do: "Helps understand why we are so far from artificial general intelligence."

Non-Fiction Books on AI:

• AI Superpowers by Kai-Fu Lee: "Lots of subjects touched on potential AI uses."
• Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark: "Good but may go off-topic, Tegmark is a quantum physicist."
• Superintelligence: Paths, Dangers, Strategies by Nick Bostrom: "A good read but can be lengthy."

Educational Books on AI:

• AI for Educators by Matt Miller: "A readable guide for educators, providing practical ideas and insights on AI in education."
• I, Robot by Isaac Asimov: "Each chapter is like a little novella about different dilemmas posed by artificial intelligence."
• Artificial Intelligence: A Modern Approach (4th edition) by Stuart J. Russell and Peter Norvig: A foundational textbook on AI.

Other Relevant Recommendations:

• The Little Book of Deep Learning by François Fleuret: A concise guide on deep learning.
• Smart Machines by Mo Gawdat: "A must-read for understanding the nature of AI and its societal impact."
• Consciousness and AI by Nathaniel Sinclair: Explores the intersection of consciousness and artificial intelligence.

Courses and Resources:

• Various online courses on machine learning, deep learning, and AI provided by MIT OCW, Coursera, and others.
• Recommended AI Learning Resources: A selection of AI books that are highly interesting.
• AI-focused podcasts like The End of the World with Josh Clark.

These books cover a range of perspectives on AI, from fictional scenarios to deep dives into the technical and societal implications of artificial intelligence. Whether you're looking for educational insights or speculative fiction, these recommendations provide a well-rounded view of AI literature.