Listing 1 - 3 of 3 |
Sort by
|
Choose an application
Cognitive psychology --- Physiology of nerves and sense organs --- Psycholinguistics
Choose an application
The book explores the role of leisure in modern life. It was written in the belief that leisure sets us apart as a species, that what is "useless" by commercial standards is probably the best thing we have going for us, and that leisure is under attack, in high danger of being lost, and has been for some time (since at least the end of the Second World War). The source of the problem is the ascendancy of the economic imperative, the subordination of the science of means (philosophy) by the s...
Leisure --- Hours of labor --- Economic aspects. --- Social aspects.
Choose an application
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 homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in fields ranging from computer science and law to philosophy and cognitive science, 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 such as transparency, bias, liability, privacy, and regulation.Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target.
Listing 1 - 3 of 3 |
Sort by
|