Human-Centered AI, book review: A roadmap for people-first artificial intelligence
A focus on developing AI that helps people will dissolve much of the fear of lost jobs and machine control, argues Ben Shneiderman.
A focus on developing AI that helps people will dissolve much of the fear of lost jobs and machine control, argues Ben Shneiderman.
AI is about much more than algorithms, argues Kate Crawford in Atlas of AI, which examines the entire supply chain that drives it, and the effects on people and the planet.
In this approachable and insightful book, Janelle Shane examines how AIs work and learn -- and how they can be fooled. The most important question: how do we know when to trust an AI?
Futurist Amy Webb speculates on the development and implementation of artificial intelligence in the coming decades. Will the outcome be benign, chaotic or disastrous?
Meredith Broussard explains how computers, software, and AI and machine learning actually work -- and considers the times they don't.
Half of this book is good and useful. What happened in producing the other half is a genuine mystery.
Mark O'Connell explores the drive to transcend biology using technology, examining ideas like the Singularity, mind uploading, cryonics, whole-brain emulation and cyborgs.
Advances in recent decades have seen artificial intelligence develop apace, and AI now pervades our lives. Yet, as this book explains, true machine intelligence is still a work in progress.
A Columbia professor and a technology writer explore what it takes to create a driverless vehicle, and discuss the battle for supremacy between car manufacturers and software companies.
AI is going to happen whether we like it or not, so it's in our interest to ensure that ethics are included in its development, argues John C. Havens.