This text provides a guide for students to develop their evaluation abilities and to consider their beliefs in a mature and intelligent way. It includes examples and exercises which strengthen critical and expository abilities.

The first book to use the unexpected discoveries of neuroscience to help us make the best decisions Since Plato, philosophers have described the decision-making process as either rational or emotional: we carefully deliberate, or we “blink” and go with our gut. But as scientists break open the mind’s black box with the latest tools of neuroscience, they’re discovering that this is not how the mind works. Our best decisions are a finely tuned blend of both feeling and reason—and the precise mix depends on the situation. When buying a house, for example, it’s best to let our unconscious mull over the many variables. But when we’re picking a stock, intuition often leads us astray. The trick is to determine when to use the different parts of the brain, and to do this, we need to think harder (and smarter) about how we think. Jonah Lehrer arms us with the tools we need, drawing on cutting-edge research as well as the real-world experiences of a wide range of “deciders”—from airplane pilots and hedge fund investors to serial killers and poker players. Lehrer shows how people are taking advantage of the new science to make better television shows, win more football games, and improve military intelligence. His goal is to answer two questions that are of interest to just about anyone, from CEOs to firefighters: How does the human mind make decisions? And how can we make those decisions better?

Mele develops a view of paradigmatically free actions--including decisions--as indeterministically caused by their proximal causes. He mounts a masterful defense of this thesis that includes solutions to problems about luck and control widely discussed in the literature on free will and moral responsibility.

A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

This comprehensive study offers a balanced assessment of libertarian accounts of free will. Bringing to bear recent work on action, causation, and causal explanation, Clarke defends a type of event-causal view from popular objections concerning rationality and diminished control. He subtly explores the extent to which event-causal accounts can secure the things for the sake of which we value free will, judging their success here to be limited. Clarke then sets out a highly original agent-causal account, one that integrates agent causation and nondeterministic event causation. He defends this view from a number of objections but argues that we should find the substance causation required by any agent-causal account to be impossible. Clarke concludes that if a broad thesis of incompatibilism is correct--one on which both free will and moral responsibility are incompatible with determinism--then no libertarian account is entirely adequate.

A collection of new essays on the interplay between intentions and practical reasons in law and practical agency.