Awkward intelligence : where AI goes wrong, why it matters, and what we can do about it
- 2022 MIT Press, London :
- xiii, 268 p. ; ill., (B & W), 24 cm
Includes bibliographical references and index.
If you want to know what artificial intelligence can do and what it cannot do, in this book you will find all the information that you need in an entertaining fashion. The book covers mysterious terms like algorithm and machine learning, in an approachable manner. It enables you to join the discussions on good and bad AI: Do we want machines to judge your face? Is image recognition by the computer really better than by humans? And why should you learn about the misfortune of a self-driving robo vacuum cleaner? Read the book and find out.
9780262047463
Artificial intelligence Artificial intelligence Philosophy Accuracy Big data Black box methods Church-Turing machine Conspiracy theories Data mining Decision trees Economic issues Facial recognition False positives Heuristics Image recognition Intuition Knuth,Donald E. Machine learning OMA principle Prediction ReCAPTCHA Risk Yoda-Roberts algorithm Natural Sciences Neural network