1. Neurobiology and artificial intelligence: a brief history 2. The neurobiology of intelligence 3. Foundations of artificial intelligence 4. Machine learning and artificial neural networks 5. Visualizing the brain and its functioning 6. The “black box” 7. Different types of biological intelligence 8. Learning 9. Network medicine and artificial intelligence 10. The coding of evolutionary processes, learning, and intelligence 11. The neurobiology of addiction and artificial intelligence dependency 12. The impact of artificial intelligence on human memory and intelligence 13. Artificial intelligence and creativity: catalyst or constraint? 14. Artificial intelligence and human relationships 15. The inflation of scientific cycles 16. The human–machine interface and neuroprosthetics 17. The simulation of the human brain and artificial consciousness? 18. Staying alive 19. Toward a shared future: hybrid artificial intelligence 20. Superintelligence and singularity: what rules? 21. The concept of “humanity” 22. Science and ethics: reflections on the future of humanity

Offers clear explanations of scientific and technical concepts Emphasizes the societal and moral challenges posed by advancements in AI and neuroscience Explores how neurobiology and AI influence each other and their broader impact on medicine, creativity, and human cognition