SCARY SMART

Artificial intelligence is already smarter than humans. It can process information more quickly and stay focused on specific tasks without being distracted. It examines and predicts out- comes, uses sensors and compiled information to see round physical and virtual corners. So why does AI so frequently get it so wrong?

The answer is us. Humans design the algorithms that define the way that AI works, the processed information reflects an imperfect world. So, how can we change that? Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than 30 years' experience working at the cutting-edge of technology and his former role as chief business officer of Google X (the 'moonshot' innovation arm of Google), no one is better placed to explain how the AI of the future works. Time is running out, by 2029 machine intelligence will surpass human general, rather than specific task-oriented, intelligence. By 2049 AI will be a billion times more intelligent than humans. Scary Smart explains how to program our lives to fix the trajectory now, to make sure that the AI of the future are super heroes, not super villains. "There has never been a time when the risk of technology ruining our humanity has been bigger. This book is not for the engineers that write the code, the policy makers who claim they can regulate it or the experts that keep creating the buzz around it. They all know what I'm about to tell you. This is a book for you. Because, believe it or not, you are the only one that can fix it." Mo Gawdat Mo Gawdat is the former Chief Business Officer for Google [X], a serial entrepreneur, author of Solve for Happy, and founder of #onebillionhappy. Through his twelve-year research on the topic of happiness, he created an algorithm and a repeatable engineered model to reach a state of uninterrupted happiness, regardless of circumstance in life. Mo's happiness model proved highly effective and, in 2014, was put to the ultimate test when Mo lost his son Ali to preventa- ble medical error during a simple surgical procedure. This led Mo to write Solve For Happy which sold abroad in 26 countries. Mo left Google X in 2018 to dedicate the rest of his life to #onebillionhappy.