Books like Robethics

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… show more.

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.… show more.

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… show more.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess… show more.

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… show more.

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.

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… show more.

We were fighting on the wrong side, of a war we couldn't win. And that was the good news. The Ruhar hit us on Columbus Day. There we were, innocently drifting along the cosmos on our little blue marble, like the native Americans in 1492. Over the horizon come ships of a technologically advanced, aggressive culture, and BAM! There go the good old days, when humans only got killed by each other. So, Columbus Day. It fits. When the morning sky twinkled again, this time with Kristang starships jumping in to hammer the Ruhar, we thought we were saved. The… show more.

In the first hour of her new job in Melbourne, Josie is chased, shot at, and almost blown up, and all before breakfast.Why are people trying to kill her?What is so important about the package?And who are the rival organisations stopping at nothing to get what they want?Drawn into the invisible world of agents against startups and A.I.s, Josie soon discovers that things are not always what they seem. Not only is Melbourne in trouble, but the entire planet might be in danger.And she has no idea how she is going to save it.---The ESL Fiction series has been developed… show more.