Here are 100 books that Robethics fans have personally recommended if you like
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I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
This book explores how AI is transforming healthcare and the potential benefits it can bring to patients and doctors.
The author, Eric, is a cardiologist with working knowledge of technology of AI. I love how he describes with clarity, the present and potential to make people healthier with AI First thinking. That is, how AI can make the business of health care human.
I love the premise and basis of Eric’ thinking that we can make healthcare personalized, proactive, anticipatory, helping people live healthier lives and reducing the cost of healthcare.
At the same time he is mindful that AI could be used to dehumanize healthcare and exacerbate existing inequalities.
A visit to a physician these days is cold: physicians spend most of their time typing at computers, making minimal eye contact. Appointments generally last only a few minutes, with scarce time for the doctor to connect to a patient's story, or explain how and why different procedures and treatments might be undertaken. As a result, errors abound: indeed, misdiagnosis is the fourth-leading cause of death in the United States, trailing only heart disease, cancer, and stroke. This is because, despite having access to more resources than ever, doctors are vulnerable not just to the economic demand to see more…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
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 New York Times Science Bestseller from Robert Wachter, Modern Healthcare's #1 Most Influential Physician-Executive in the US
While modern medicine produces miracles, it also delivers care that is too often unsafe, unreliable, unsatisfying, and impossibly expensive. For the past few decades, technology has been touted as the cure for all of healthcare's ills.
But medicine stubbornly resisted computerization - until now. Over the past five years, thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital.
Yet once clinicians started using computers to actually deliver care, it dawned on them that something was deeply wrong.…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
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.
Connectome, by Sebastian Seung is 'One of the most eagerly awaited scientific books of the year ... intellectually exhilarating, beautifully written, exquisitely precise yet still managing to be inspirational' Irish Times
What really makes us who we are? In this groundbreaking book, pioneering neuroscientist Sebastian Seung shows that our identity does not lie in our genes, but in the connections between our brain cells - our own particular wiring, or 'connectomes'.
Everything about us - emotions, thoughts, memories - is encoded in these tangled patterns of neural connections, and now Seung and a dedicated team are mapping them in order…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
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.
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
A fantastic, non-techy read that cuts through the AI fear-mongering in a way that is both hopeful and practical.
The authors work well together to craft a story of how we arrived at this point in time, where our ever-evolving research could lead us, and the practical solutions needed to enable us to move forward in a world governed by the complex and rapidly changing landscape of AI.
The public debut of ChatGPT was a watershed moment. It awakened us to the fact that general artificial intelligence—a technology that had long been a source of fantasy and fiction—was finally here and operating among us. For the first time in history, ordinary citizens could converse directly with an AI chatbot. The thrill of this 'first encounter' with artificial general intelligence, coupled with the astonishing capabilities that AI chatbots displayed, gave rise to concerns about whether AI was sentient or self-aware. Although we have been using AI-assisted applications for years in such forms as facial recognition and language translation, our…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
I have a deep appreciation for Stuart Russell's book because it brilliantly balances theoretical foundations with practical applications in AI. This book is not just a textbook; it’s a comprehensive guide that covers everything from problem-solving and knowledge representation to machine learning and ethics.
Russell's clear explanations and engaging examples make complex concepts accessible, which resonates with my own passion for demystifying AI for readers. I recommend it to anyone interested in understanding AI's potential and challenges, as it equips you with the knowledge to navigate this rapidly evolving field responsibly and thoughtfully.
Tim Harford is the author of nine books, including The Undercover Economist and The Data Detective, and the host of the Cautionary Tales podcast. He presents the BBC Radio programs More or Less, Fifty Things That Made The Modern Economy, and How To Vaccinate The World. Tim is a senior columnist for the Financial Times, a member of Nuffield College, Oxford, and the only journalist to have been made an honorary fellow of the Royal Statistical Society.
This is a clever and highly readable guide to the brave new world of algorithms: what they are, how they work, and their strengths and weaknesses. It’s packed with stories and vivid examples, but Dr Fry is a serious mathematician and when it comes to the crunch she is well able to show it with clear and rigorous analysis.
When it comes to artificial intelligence, we either hear of a paradise on earth or of our imminent extinction. It's time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we'll be discussing these issues long after the last page is turned.
My personal passion behind ethical AI started early in my life. I was raised by someone who had a personality disorder, and grew up being gaslit and manipulated. It was hard for me personally to understand what was reality and what was made up. Being a nerdy kid, I spent most of my time studying computers and math to escape it all. And while I have made my own life writing books on machine learning, and programming for a living, I also care deeply about how what I do affects others. Being thoughtful is deep within me, and I sit with a Zen group and volunteer with the Mankind Project.
Peter Flach’s book on machine learning had a profound impact on me. The book is simple to understand, and highly visual. But beyond that Peter himself is a lovely person who obviously cares about all his students. I believe for getting started in machine learning and wanting to understand the algorithms that power many models, this is a great place to start.
But most importantly it’s a great way to understand the power and gain more intention behind what we are doing.
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role…
As a child of the microcomputer revolution in the late 1970s, I’ve always been fascinated by the concept of a general-purpose machine that I could control. The deep learning revolution of 2010 or so, followed most recently by the advent of large language models like ChatGPT, has completely altered the landscape. It is now difficult to interpret the behavior of these systems in a way that doesn’t argue for intelligence of some kind. I’m passionate about AI because, decades after the initial heady claims made in the 1950s, AI has reached a point where the lofty promise is genuinely beginning to be kept. And we’re just getting started.
Artificial intelligence is, of necessity, an academic pursuit, at least initially. McCorduck’s book is her account of the history and development of AI. She was not a historian coming to events after the fact but a living witness. Her circle of friends included all the key figures, the people those of us who fell into AI later didn’t have the opportunity to know.
This book, personal and human, not technical and heavy, reveals the humanness of the process. Yes, artificial intelligence was the goal, but human intelligence (and frailty) were central to its emergence.
In the autumn of 1960, twenty-year-old humanities student Pamela McCorduck encountered both the fringe science of early artificial intelligence, and C. P. Snow's Two Cultures lecture on the chasm between the sciences and the humanities. Each encounter shaped her life. Decades later her lifelong intuition was realized: AI and the humanities are profoundly connected. During that time, she wrote the first modern history of artificial intelligence, Machines Who Think, and spent much time pulling on the sleeves of public intellectuals, trying in futility to suggest that artificial intelligence could be important. Memoir, social history, group biography of the founding fathers…
Having studied literature at university and been a closet nerd, coding at night in a dank basement room, I've always been intrigued by the interface between human and machine. Then, as a senior executive in a large multinational, I was acutely aware of the value of empathy as a leadership skill. In a world that is increasingly divided and divisive, I’ve become an empathy activist. I believe that the business world can be a force for positive change, but as a society we will need to engage in a much more meaningful and rigorous debate about the ethics involved in the opportunities offered by using artificial intelligence and robots in the workplace.
Telving’s book is ahead of its time in exploring the deep questions of what our humanity is, with perspectives on our future life with AI and intelligent robots. I was particularly intrigued by the ways that the author explores how we evaluate our own consciousness, how we tend to anthropomorphize animals and objects, and the tricky ethical questions around how to legislate a life with robots. Telving deals with one subject that had been far off my radar in the form of the difference between the hard and easy problem of consciousness. It’s a very philosophical question, but in today’s world, where our values, beliefs, and interactions are in mutation, this understanding of consciousness is ever more pertinent.
Humanlike robots and digital humans are both fun and useful in many situations. But the more we interact with technology with human traits, the more we believe it to possess real human characteristics like consciousness and personality. As a new breed of artificial beings enter society on a large scale, many of us will start believing they deserve moral consideration and perhaps even rights. In this entertaining and humorously written book, Thomas Telving argues that even though the above scenario is close to inevitable, we should still do all we can to avoid it. Presenting us with thought-provoking future scenarios,…
