Akedemia Publications

Monograph · 2026
The Future of AI
Dr. Ananya Sharma
Akedemia
Series
Quantum Computing
Arjun Rao
Akedemia
Series
Data Science
Karan Mehta
Akedemia
Series
Attention
C. Newport-Rao
Akedemia
Series
The Mindful Scientist
M. Iyer
Akedemia

Volume 22 in Akedemia Advances in Computing.

Lead title, Spring 2026

The Future of AI

How artificial intelligence is changing everything — and which of those changes will still matter in ten years.

★★★★★
4.8 · 356 reviews
In stock

Paperback edition

₹499

Ebook ₹299 · Audiobook ₹349

Free delivery on institutional orders. Inspection copies available to lecturers on request.

About the book

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.

Contents

Who this book is for

Reader rating

4.8
★★★★★
356 verified reviews

“I assigned chapter four to a class of ninety and, for the first time, nobody asked me what the words meant.”

KM
Karan Mehta
Statistics, Mumbai

“Careful where it needs to be careful and blunt where bluntness is warranted. The governance chapter is the best short treatment I have read.”

JS
Dr. Jay Shetty
Public policy, Bengaluru

About the author

AS
Dr. Ananya Sharma

Editorial director, computing · Bengaluru

Author of three titles with Akedemia and commissioning editor for our computing list. Her research covers machine learning evaluation and the governance of automated decisions.

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