Neurobiology and Artificial Intelligence: Medical, Social, and Ethical Implications
explores the dynamic intersection of neurobiology and artificial intelligence (AI),
investigating the scientific, philosophical, and ethical implications of these rapidly
evolving fields. By blending cutting-edge research with thought-provoking discussions,
this book aims to make complex topics accessible to an interdisciplinary audience,
from researchers and upper graduate students eager to understand how AI and
neuroscience shape our understanding of intelligence, creativity, learning, and the
human condition.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xi 8. Chapter 1. Neurobiology and artificial intelligence: a brief history - p. 1 9. Chapter 2. The neurobiology of intelligence - p. 15 10. Chapter 3. Foundations of artificial intelligence - p. 29 11. Chapter 4. Machine learning and artificial neural networks - p. 47 12. Chapter 5. Visualizing the brain and its functioning - p. 67 13. Chapter 6. The “black box” - p. 77 14. Chapter 7. Different types of biological intelligence - p. 89 15. Chapter 8. Learning - p. 111 16. Chapter 9. Network medicine and artificial intelligence - p. 129 17. Chapter 10. The coding of evolutionary processes, learning, and intelligence - p. 145 18. Chapter 11. The neurobiology of addiction and artificial intelligence dependency - p. 159 19. Chapter 12. The impact of artificial intelligence on human memory and intelligence - p. 177 20. Chapter 13. Artificial intelligence and creativity: catalyst or constraint? - p. 193 21. Chapter 14. Artificial intelligence and human relationships - p. 203 22. Chapter 15. The inflation of scientific cycles - p. 217 23. Chapter 16. The human–machine interface and neuroprosthetics - p. 229 24. Chapter 17. The simulation of the human brain and artificial consciousness? - p. 241 25. Chapter 18. Staying alive - p. 255 26. Chapter 19. Toward a shared future: hybrid artificial intelligence - p. 263 27. Chapter 20. Superintelligence and singularity: what rules? - p. 277 28. Chapter 21. The concept of “humanity” - p. 289 29. Chapter 22. Science and ethics: reflections on the future of humanity - p. 295 30. Glossary - p. 299 31. Index - p. 311
Neurobiology and Artificial Intelligence: Medical, Social, and Ethical Implications
explores the dynamic intersection of neurobiology and artificial intelligence (AI),
investigating the scientific, philosophical, and ethical implications of these rapidly
evolving fields. By blending cutting-edge research with thought-provoking discussions,
this book aims to make complex topics accessible to an interdisciplinary audience,
from researchers and upper graduate students eager to understand how AI and
neuroscience shape our understanding of intelligence, creativity, learning, and the
human condition.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xi 8. Chapter 1. Neurobiology and artificial intelligence: a brief history - p. 1 9. Chapter 2. The neurobiology of intelligence - p. 15 10. Chapter 3. Foundations of artificial intelligence - p. 29 11. Chapter 4. Machine learning and artificial neural networks - p. 47 12. Chapter 5. Visualizing the brain and its functioning - p. 67 13. Chapter 6. The “black box” - p. 77 14. Chapter 7. Different types of biological intelligence - p. 89 15. Chapter 8. Learning - p. 111 16. Chapter 9. Network medicine and artificial intelligence - p. 129 17. Chapter 10. The coding of evolutionary processes, learning, and intelligence - p. 145 18. Chapter 11. The neurobiology of addiction and artificial intelligence dependency - p. 159 19. Chapter 12. The impact of artificial intelligence on human memory and intelligence - p. 177 20. Chapter 13. Artificial intelligence and creativity: catalyst or constraint? - p. 193 21. Chapter 14. Artificial intelligence and human relationships - p. 203 22. Chapter 15. The inflation of scientific cycles - p. 217 23. Chapter 16. The human–machine interface and neuroprosthetics - p. 229 24. Chapter 17. The simulation of the human brain and artificial consciousness? - p. 241 25. Chapter 18. Staying alive - p. 255 26. Chapter 19. Toward a shared future: hybrid artificial intelligence - p. 263 27. Chapter 20. Superintelligence and singularity: what rules? - p. 277 28. Chapter 21. The concept of “humanity” - p. 289 29. Chapter 22. Science and ethics: reflections on the future of humanity - p. 295 30. Glossary - p. 299 31. Index - p. 311
