Most books about artificial intelligence are written either for engineers or for people who want to be frightened. This one is written for the reader in between: the lecturer preparing a course, the policy analyst drafting a brief, the doctoral student who needs to know what the field actually claims before arguing with it.
Dr. Ananya Sharma works through what current systems do, what they demonstrably cannot do, and where the honest uncertainty lies. Each chapter closes with exercises and a short annotated bibliography, and the final section deals squarely with governance — who is accountable when a model is wrong, and what existing law already covers.
The result is a book you can set on a reading list without apology and finish on a long flight without a notepad.