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Echtzeitevolution: ein neuer Blick auf das geheime Leben der Städte Amseln sind größer, dicker und lauter als ihre Artgenossen draußen im Wald und haben jede Scheu vor Menschen, Hunden und Katzen verloren. Regenwürmer kommen bestens zurecht in verdreckter Innenstadterde. Motten fliegen nicht mehr ins Licht. Gras gedeiht prächtig auf zinkdurchsetztem Boden. Und Kojoten warten an Ampeln. Tiere legen ererbte Verhaltensweisen ab. Man kann Evolution in Echtzeit beobachten, und das mitten in der Stadt. Das ist das große Wunder, das in diesem Buch gewürdigt wird.
Human intelligence is a superweapon: an amazing capacity that has single-handedly put humans in a dominant position on Earth. When human intelligence defeats itself and goes off the rails, the fallout therefore tends to be a uniquely big deal. In How to Actually Change Your Mind, decision theorist Eliezer Yudkowsky asks how we can better identify and sort out our biases, integrate new evidence, and achieve lucidity in our daily lives. Because it really seems as though we should be able to do better--and a three-pound all-purpose superweapon is a terrible thing to waste.
When human brains try to do things, they can run into some very strange problems. Self-deception, confirmation bias, magical thinking-it sometimes seems our ingenuity is boundless when it comes to shooting ourselves in the foot.In Map and Territory, decision theorist Eliezer Yudkowsky asks what a "martial art" of rationality would look like, beginning with the basic fighting stance-the orientation toward the world that lets us get the most bang for our cognitive buck, that best positions us to understand and react to brains' strange acts of self-destruction.
When should you think that you may be able to do something unusually well?If you're trying to advance a scientific field - or start the next Facebook - or just get a really good deal buying cheap electronics from Hong Kong - then it's important that you have a sober understanding of your competencies, and the competencies of others. The story only ends there, however, if you're fortunate enough to live in an adequate civilization.Inadequate Equilibria is a sharp and lively guidebook for anyone questioning when and how they can know better, and do better, than the status quo. Freely mixing debates on the foundations of rational decision-making with tips for everyday life, Eliezer Yudkowsky explores the central question of when we can (and can't) expect to spot systemic inefficiencies and opportunities to "beat the market."
Machines and computers are becoming increasingly sophisticated and self-sustaining. As we integrate such technologies into our daily lives, questions concerning moral integrity and best practices arise. A changing world requires renegotiating our current set of standards. Without best practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence is a collection of innovative research that presents holistic and transdisciplinary approaches to the field of machine ethics and morality and offers up-to-date and state-of-the-art perspectives on the advancement of definitions, terms, policies, philosophies, and relevant determinants related to human-machine ethics. The book encompasses theory and practice sections for each topical component of important areas of human-machine ethics both in existence today and prospective for the future. While highlighting a broad range of topics including facial recognition, health and medicine, and privacy and security, this book is ideally designed for ethicists, philosophers, scientists, lawyers, politicians, government lawmakers, researchers, academicians, and students. It is of special interest to decision- and policy-makers concerned with the identification and adoption of human-machine ethics initiatives, leading to needed policy adoption and reform for human-machine entities, their technologies, and their societal and legal obligations.
'A fascinating and delightfully written book about some very smart people who may not, or may, be about to transform humanity forever' JON RONSON 'Beautifully written, and with wonderful humour, this is a thrilling adventure story of our own future' LEWIS DARTNELL, author of THE KNOWLEDGE and ORIGINS Are paperclips going to destroy life as we know it? What can Mickey Mouse teach us about how to programme AI? Could a more rational approach to life be what saves us all? This is a book about about a community of people who are trying to think rationally about intelligence and what insight they can and can't give us about the future of the human race. It explains why these people are worried about an AI apocalypse, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it.
Towards Rational Education explores how education can become rational by serving character building, rational thinking and the common good. It uses evidence-based psychology, philosophy, sociology and political science to support transforming education and provides a brand-new framework for effective universal education. This book endorses Rational-Emotive Behavior Theory (REBT) and rational education philosophy theories as main vehicles paving a viable set of rational education values and practices. Collective wisdom, rational living, freedom, mental health, altruism, solidarity, equality and fraternity are seen as the foundational values for shaping already existing schools of the world become more rational and in establishing Rational Education Communities (REC) and Rational Schools (RS). Calling for a philosophical and socio-political shift in education values and practices, the book cites principles, tools and practices that rational educators, philosophers, psychologists, other related scientists-practitioners and people have offered us as a legacy for building a more rational and positive education for all people universally, without sacrificing cultural sensitivity and expressivity. This book will be of great interest for the general audience and a special interest for academics, researchers and post-graduate students in the fields of the philosophy of education, positive psychology, educational psychology and educational policy.
Delving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge. Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI). Bridging the gap between technical intricacies and philosophical musings, AI: Unexplainable, Unpredictable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon.
Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the practical guide L&D practitioners need to understand what AI is and how to use it to improve all aspects of learning in the workplace. It includes specific guidance on how AI can provide content curation and personalization to improve learner engagement, how it can be implemented to improve the efficiency of evaluation, assessment and reporting and how chatbots can provide learner support to a global workforce. Artificial Intelligence for Learning debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI. With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D practitioners needing to understand AI and what it means in practice.