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AI Tips and Traps

Autor Patrick Barry
en Limba Engleză Paperback – sep 2026
Based on a series of popular courses and workshops that Professor Patrick Barry has created for students, professionals, and anyone else interested in taking a skills-based approach to artificial intelligence, this book gives you a chance to engage with important AI concepts, experiment with exploratory AI exercises, and then ultimately develop your own customized list of AI traps to try as well as AI traps to avoid.
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Specificații

ISBN-13: 9781607859291
ISBN-10: 1607859297
Pagini: 100
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: Michigan Publishing Services
Colecția Maize Books

Notă biografică

Patrick Barry is a clinical assistant professor and the director of digital academic initiatives at the University of Michigan Law School, as well as a visiting lecturer at the University of Chicago Law School and the UCLA School of Law. An All-American soccer player in college, Patrick is the author of twelve books, and he has also created several online series for the educational platform Coursera, including Good with Words: Writing and Editing and AI for Lawyers and Other Advocates. Among his teaching awards are the Wayne Booth Prize for Excellence in Teaching, the Provost’s Innovation in Teaching Prize, and the Outstanding Research Mentor Award. 

Cuprins

Chapter 1. Conspicuously Good
Chapter 2. Unprepared for What Has Already Happened
Chapter 3. Mechanical Sympathy
Chapter 4. AI Interns
Chapter 5. Lawyers Still Roam the Earth
Part 1. Communication and Creativity
Chapter 6. Help or Hype?
Chapter 7. Draftors→Editors
Chapter 8. Drafting Dangers
Chapter 9. Path Dependence
Chapter 10. Intellectual Autopilot
Chapter 11. Two-Question Minimum
Chapter 12. Finding Your Voice
Part 2. Time and Tasks
Chapter 13. Quality Control
Chapter 14. Time-Savers
Chapter 15. Meeting Magic
Chapter 16. Low-Hanging AI Fruit
Chapter 17. A New World
Chapter 18. Delegation Remorse
Chapter 19. Automating Inequality
Chapter 20. Four Thousand Weeks
Part 3. Learning and Leading
Chapter 21. Producing More, Understanding Less
Chapter 22. Feedback Machines
Chapter 23. F**k the Algorithm
Chapter 24. God Bless the Algorithm
Chapter 25. Feedback vs. Advice
Chapter 26. Work, Responsibility, and Play
Photo Credits
Notes