How To Stay Smart In A Smart World
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How to Stay Smart in a Smart World
How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.” Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all seem to agree: machines will soon do everything better than humans. In How to Stay Smart in a Smart World, Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror, considers the privacy paradox (people want privacy but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either.
How to Stay Smart in a Smart World
'Enlightening, impassioned, powerful' The Times From dating apps and self-driving cars to facial recognition and the justice system, the increasing presence of AI has been widely championed - but there are limitations and risks too. In this book Gigerenzer shows how humans are often the greatest source of uncertainty and when people are involved, unwavering trust in complex algorithms can become a recipe for disaster. We need, now more than ever, to arm ourselves with knowledge that will help us make better decisions in a digital age. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the world in which we want to live. 'Masterful ... an essential read' Gary Klein, author of Sources of Power 'One of the world's most eminent psychologists' Spectator
Making Wise Decisions In A Smart World: Responsible Leadership In An Era Of Artificial Intelligence (Student Edition)
Good and smart decisions should be distinguished from wise decision-making — especially in the age of artificial intelligence (AI) where algorithms are increasingly used to automate business processes or to augment the accuracy and speed of decisions. This book argues why specific forms of intelligence as well as consciousness and enhanced conscience are crucial to make wise decisions — with consciousness to be clearly distinguished from intelligence. It also addresses why machine learning and smart computers (AI) are plausibly able to make 'smart' (and thus to a certain extent 'intelligent') decisions but definitely unable to help us to become wiser. In essence, optimizing a desired output in a business context will require a balanced approach with cognitive awareness and ethical reflection — synthesizing intuitive and algorithmic thinking — encompassing short-term profit and longer-term envisioning, and aiming to optimize created and captured value for shareholders while taking the concerns of those who have a real stake in the organization seriously. If business is about creating and sharing value in a future that is both 'digital' and 'relational', then innovative technologies like AI will play an increasingly important role. Consequently, mindful executives and their responsible boards therefore need to acknowledge the limitations of AI in business — especially when the uncertain future is estimated to be rather volatile or ambiguous than stable.