SuitabookWhat Is Artificial Intelligence?
Kathryn Hulick
- Reading
- Read it as a concept-building overview: pause at unfamiliar terms, use the glossary, and compare the examples of translation, games, image recognition and robots with real-world questions about data and decision-making.
- Themes
- How artificial intelligence works: The book introduces systems based on if-then rules, learning algorithms, neural networks and deep learning, alongside examples of computer and robotic tasks. The structure presents these as concepts to understand and compare, rather than as a single uniform technology.
- AI’s history and future: The book moves from Alan Turing and early artificial intelligence to evolving robots, increasingly capable machines and the possibility of superintelligence. The sequence indicates historical and forward-looking coverage, but does not establish whether future possibilities are presented cautiously, enthusiastically or critically.
- Worth knowing
- The technical vocabulary is substantial but supported by a glossary and visual explanations. The book also reaches towards ideas such as smarter machines and superintelligence, whose treatment and level of caution are unclear.