I have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
I wrote
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
In my experience, most of the books about AI and machine learning are written by people coming from a technical background. The thing I found refreshing about this book is that the authors are economists, not technologists. Therefore, they bring a somewhat different perspective to the subject. In particular, focusing on the fact that the foundation of almost all successful AI-based technologies is providing better ways to predict things of interest. This covers a huge range of applications from object recognition, to fraud prevention to strategic forecasting, and everything in between.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…
As ever more powerful AI-based tools are created, Russell asks the question (and provides some answers) as to how we can ensure that we stay in the control of our creations. In particular, what safeguards are needed to protect us from something that will potentially be more intelligent than ourselves? Some might argue that this is all just science fiction and, even if it’s possible to build machines that are more intelligent than we are, it’s a problem for the distant future. However, there are many areas where AI is already making the key decisions about how we are treated. For example, whether or not to offer you a job or if you should get that loan you applied for. Consequently, I found this book to present a compelling case that controlling AI is something that we need to address as a matter of urgency, sooner rather than later.
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…
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.
AI is radically transforming business. Are you ready?
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show…
Computers can be very clever and make near-perfect decisions in the right circumstances, but they are just machines. They are designed to perform certain tasks and make certain decisions, but they have no moral compass and no conscience. This means that if not designed properly, and without proper human oversight, they can drive unfair and biased decision-making that negatively impacts the lives of those subject to their decisions. This book was one of the first to highlight the “Dark side” of machine-based decision-making and bring it to the public’s attention. Through the use of many examples, it catalogues cases where the reliance on automated decision-making systems has led to poor outcomes, bias, and unfair judgments against certain sections of society.
'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times
'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year
In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric.
We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made…
Artificial Intelligence (AI) and machine learning are proving to be the most transformative technologies of our age. This book cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.
Nature writer Sharman Apt Russell tells stories of her experiences tracking wildlife—mostly mammals, from mountain lions to pocket mice—near her home in New Mexico, with lessons that hold true across North America. She guides readers through the basics of identifying tracks and signs, revealing a landscape filled with the marks left by browsing deer, predatory weasels, and inquisitive bears, skunks, and raccoons. Master tracker Kim A Cabrera provides photos and illustrations.
Winner of the prestigious John Burroughs Medal, Russell also writes about community, a sense of place, and a renewed connection with the nonhuman world. She explores the health of…
What Walks This Way: Discovering the Wildlife Around Us Through Their Tracks and Signs
Did a red fox pass this way? Could that be a bobcat print there in the dirt? Do those tracks belong to a domestic dog or a coyote? Combining lyrical memoir with an introduction to wildlife tracking, What Walks This Way explores the joys of learning to recognize the traces of the creatures with whom we share our world.
The nature writer Sharman Apt Russell tells stories of her experiences tracking wildlife-mostly mammals, from mountain lions to pocket mice-near her home in New Mexico, with lessons that hold true across North America. With wit and compassion, she guides readers through…
