.png){kind=logo}
Artificial intelligence, commonly known as AI, is evolving rapidly. Knowing about it is necessary. Reading top AI books is one of the best ways to stay updated. Here is a list of the must-read AI books of 2025.
Dan Wardrope presents a practical guide for including AI in business. He makes strategies for running an online business that can use AI to resolve major issues. Wardrobe states that technical expertise is not required to capitalize on the AI revolution. This book is among the top AI books for entrepreneurs who aim to harness the full potential of AI without a proper technical background.
Dr. Fei-Fei Li has shared her journey from being an immigrant to becoming an AI expert. She co-founded a company named ImageNet. Through this book, one can discover the ethical implications of AI technology. She also discussed the challenges she faced as a woman in tech. This is a good book among all must-read AI books that offer guidance for developing computer vision and human-centered AI.
Max Bennett explored the evolution of intelligence through five key breakthroughs. He successfully traced the billion-year history of brain development and debated that understanding this journey is very important for developing human-like AI. This book secures its name in the Best Artificial Intelligence Books 2025 because it breaks down research in neuroscience and AI.
Joy Buolamwini reveals the hidden loops in AI systems. She introduces the complicated concept of the "coded gaze," which reveals how AI can amplify societal assumptions. Buolamwini also shares her journey from a computer science student to an advocate of algorithmic justice. The book explains social implications in some areas, such as hiring and criminal justice.
Yuval Noah Harari discovered how information networks have played a significant role in human history. He determined the relationship between information, truth, and power across all societies and studied how human civilizations have used information to achieve various goals.
Ethan Mollick gave guidance on the benefits of AI in daily life and work. He also introduced the principles for effective human and AI collaboration. The book aims to clarify AI and motivates readers to include it in their work.
Anil Ananthaswamy explores the mathematical foundations of machine learning, explaining concepts like neural networks and support vector machines. He also explores the history of machine learning and highlights key developments.
Ray Kurzweil wrote his predictions about technological enhancement and the singularity. He discussed developments in AI, robotics, and biotechnology. Kurzweil wrote about concepts like the merging of human and machine life extensions. The book addresses the potential benefits and risks of these technologies.
These books offer a variety of knowledge on artificial intelligence and can be considered some of the best AI literature in 2025. They cover practical applications, ethical considerations, and future implications and deserve their name in AI book recommendations. Reading them can provide valuable insights into the evolving field of AI.
