100 Books Like The Girl from Wudang

This book surpasses others in its genre in portraying technological advancements' unintended consequences: disruption of social order and diminished human value. 

A major focus is how humans will co-exist with AI in this brave new world. This theme continues in Lee's co-authored book AI 2041: Ten Visions for Our Future (2021). This book presents short stories of life in different corners of the world in the age of AI, each followed by a scientific analysis.

Mustafa Suleyman and Kai-fu Lee are leaders in the global pack of scientists behind the technological tsunami. They have roots in rivaling camps and operate in different camps. They are the best testimony to the reality that "nations may be building walls, but the people creating mankind’s next chapter are already operating without walls."

Technology is always moving on. And so it should be forgiven the author that many of the concrete examples in this book are now somewhat dated. They provide some interesting insight into the history of computing and media technology, but the real value of Roszak’s argument lies in his analysis of how—thanks to computer technology—society has become obsessed with “information”. It’s almost a cult. But information is not knowledge, data does not in itself provide understanding. In fact, in a peculiarly paradoxical way, the more information we have, the less we actually know. Thirty years later, as we swim daily in the disinformation of the murky waters of social media and disappear down Youtube rabbit holes, Roszak’s point seems more pertinent than ever.

I can appreciate an author who can inject humor into a story that is not traditionally a comedy. In Mind Bullet, we follow the life of an assassin who has the ability to kill with his mind and his artificial intelligence sidekick Bubbles (who frequently asks for a name change throughout the book). Make no mistake, there is plenty of fast-paced, action-packed scenes as Jonas tries to stay one step ahead of the ninjas (yes ninjas!) in between the funny appearances of Bubbles. The mixture of danger and humor is all-consuming as you go along for the ride. This story had me laughing while sitting on the edge of my seat. 

Set in a future of climate change where the UN (Run by a Super Intelligent AI)–this story has so much heart and punch that it hasn’t left me all these years later. Greta, our protagonist, grows so much during this harrowing ride–but it is believable every step of the way.

Stuart Russell is one of the best communicators of our time, and this collaboration with Peter Norvig is the bible of AI. In its fourth edition, this book covers everything you need to know about classic AI, also known as predictive or discriminative AI.

If you want to use AI to optimize business processes, inventory levels, pricing, risk profiles, segment markets, build recommendation engines, or do any of the hard work of running a business, this is the book for you. Perhaps the fifth edition will include generative AI, but this book is still great without that.

I loved this book with its mix of AI, murder, and mystery. It's about 'accidents' that seem to happen to anyone going against the creator of a predictive AI that they say will be able to anticipate human behaviour.

I liked the fact lots of things happen behind the scenes. An ex-staff member and former coder aims to get to the bottom of it. It looks at the 'what ifs' and throws up the corruption that can happen if there is no strict monitoring in the development of AI. 

Again, I feel it brings up the concerns we humans have of the people who will design, build, and operate Artificial Intelligence, and for me, I would want to know who is checking what these companies are actually creating? And who checks the checker...?

This is a beautiful science memoir, that tells the story of fellow Stanford professor Fei-Fei’s Li’s life.

It gives deep insights into the challenges of life in the United States, growing up as an immigrant from a loving but low-income home, and her rise to becoming one of the most important and influential AI leaders of our time. The interweaving of the story of the genesis of AI as a field and Fei-Fei as a scientist is fascinating and educative. 

Fei-Fei’s excitement for science and knowledge, combined with her commitment to family and relationships, makes for a delightful and inspirational read.

We found this book to be an eye-opening exploration of the revolutionary merging of artificial intelligence and biotechnology. Brian Hilbush expertly guided us through the cutting-edge advancements that are transforming drug discovery and therapeutics without being too technical or scientific in his use of language.

We found Hilbush’s story to be a fascinating breakdown of how AI and deep learning are revolutionizing medicine, with some great insights into the rise of data science in healthcare, groundbreaking biotech innovations, and the exciting startup landscape shaping the industry's future.

I think computers don’t think, and this book taught me how to think about that. I admire it in part because it showed me, a professor of philosophy, how to do scientifically informed philosophy. Unlike so many books on the history of thinking about thinking, just the first chapter of this book is clear, accurate, insightful, and exciting. Equally so is Haugeland’s explanation of what a computer is, making an intellectual adventure of theoretical computer science.

Haugeland uses this to make a compelling case for thinking that computers could genuinely reason. And then he does something that we philosophers tend to love; he launches a provocative critique of that claim, contending that computers can’t think because they don’t “give a damn.” Although it’s now three decades old, this is the book to read if you’re curious about artificial intelligence. 

Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.

I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.