Books like Deep Medicine

I met Dr. Wachter, at the University of California in San Francisco and we were discussing the applicability of technology in a patient’s hospital room to improve care. 

I was introduced to his book and was mesmorized. It was one of my early conversations from a clinician stressing that we need technology, computers to be invisible not irresistible in healthcare.

He writes compelling stories about medical errors which only by the stroke of luck didn’t cause a fatality. It reminded me of my sister-in-law who was misdiagnosed as being Type 2 diabetes when she was Type 1. 

This misdiagnosis could have proved fatal. The proper use of AI, especially the current wave of generative AI could have made a huge difference.

The opening paragraph of this book is pure poetry in motion, putting me in a trance and craving to read the entire book. 

You wouldn’t know this is a book about neuroscience when reading the opening lines in Chapter 1. Connectome is a thought-provoking exploration of the brain's neural connections and their potential to transform our understanding of ourselves and our place in the world. 

Given that artificial intelligence is inspired by neuroscience it’s a great book to understand how the brain works.

Parag is a clinician who covers the current and future state for using AI in several healthcare specialties like cardiology, pharmacy, orthopedics, radiology, and many more. 

This is a book for generalists who want to understand how AI applies to a variety of medical disciplines. I enjoyed this book because it deepened my knowledge as an AI technologist on how to apply AI in areas of healthcare from the lens of a physician.

I must confess the book title drew me to the book as I sought to understand and learn more about the ethics of the misuse of AI. 

Having worked on committees in the AU and advised various entities in the United States, the subject of ethics is front and center. The expanding use of large language models and rise of generative AI makes the potential for harm stronger than ever.  

AI is poised to change our lives and society in ways we have not imagined much like the iPhone when it first arrived. Understanding its potential is useful but understanding its potential for harm is mandatory. 

I found this book to be enlightening on the ethical components of AI and technology.

Books on AI often go to extremes, either promoting it as the solution to all the world’s problems, or depicting it as an evil that will destroy humanity.

This book is much more practical, and based on experience using AI in actual business applications. It is the result of considerable research, involving investigation of applications not only in silicon-valley, but from various business sectors, such as Airbus, Ping, Progressive Insurance, and Capital One Bank.

Don’t let the title fool you; this book is not simply a promotion of AI, but addresses the practical issues that have to be considered if success is to be achieved. For example, they argue that “the most important aspect in AI success is not machinery, but human leadership, behavior, and change.”

Many writers have discussed the dangers that artificial intelligence and machine learning represent to our livelihoods, and how clever computers and autonomous robots will supplant us all in the workplace. What I like about this book is that it provides an alternative, and very optimistic, view of how these new technologies are being deployed. The authors present a future based on a partnership, in which artificial intelligence-based tools work in tandem with human workers, enhancing what individuals can do in the workplace rather than replacing them.

I love the fact that I had confirmation that what your data is telling you is probably not what it seems.

This book brilliantly explains the buzzword vocabulary of financial “experts” and what the data that goes with those buzzwords actually show. It’s a wonderfully simple explanation of each term with examples of how skewed the bar graph may be and why, and where real value lies and how to find it.

I found new insights on how to better analyse customer behaviour—without the fancy graphs—and suggestions of what to do about it. 

Edwards revealed how the very architecture of early computers owed a debt to the political structures of the Cold War. The innovation of a command/control/information infrastructure set the template for military regimentation, and subsequently for the surveillance society we currently inhabit. The story of how cybernetics—a field that never quite made the grade as pure science—nevertheless conquered the culture, is fascinating.

I loved this book because it completely reframed how I think about AI’s physical and environmental footprint.

While reading, I realized how often discussions about artificial intelligence ignore the material world behind the screens. Crawford’s perspective pushed me to think beyond software and consider labor, extraction, energy, and global inequality. It challenged my own assumptions as a technology scholar and reminded me that every algorithm is embedded in real-world systems.

This book expanded my understanding of AI from a technical issue into a planetary one, which I found both unsettling and essential.

As I write these lines, artificial intelligence (AI) is getting a lot of attention.

This is largely due to ChatGpt recently bursting onto the scene. But even before ChatGpt began making its mark, AI was often in the news. Some have expressed worry that it will take our jobs, others that it will reinforce systemic oppression by making racially or otherwise discriminatory decisions, and some have even voiced concerns that one day a superintelligent AI might pose an existential threat to humanity.

In the midst of all this, what might get lost is what AI is, what it's capable of doing, and what its limitations are. Wenger's book is intended to address all of these questions. It manages to do so in a way which goes into some of the mathematics of AI systems and yet remain accessible to a lay audience.

After laying out the technical aspects of AI,… show more.