The alignment problem: machine learning and human values by
Prophecy. Representation --
Fairness --
Transparency --
Agency. Reinforcement --
Shaping --
Curiosity --
Normativity. Imitation --
Inference --
Uncertainty.
"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel"--Provided by publisher.
Artificial intelligence: a guide for thinking humans by 
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Deep Work: Rules For Focused Success In A Distracted World by 
How to discover customer value: tools to grow your business by 
Life 3.0: being human in the age of artificial intelligence/ by 
The master algorithm: how the quest for the ultimate learning machine will remake our world/ by 
Prediction Machines by
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
A Research Agenda for Entrepreneurship and Innovation by
Elgar Research Agendasoutline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. Within the span of a generation, innovation and entrepreneurship have emerged as two of the most vital forces in the economy and in society. This Research Agendahighlights new insights and approaches to guide future thinking, research and policy in the area. To accomplish this, the editors have brought together a group of accomplished scholars spanning economics, management, public policy and finance. Drawing on the experiences and insights of leading scholars this Research Agenda covers a broad array of rich and promising topics, including entrepreneurial ecosystems, finance and the role of universities. Focusing on the intersection and overlap between the two disciplines, the Research Agendabegins by establishing the theoretical basis between the two topics, before exploring impact, context, academic entrepreneurship, start-ups, policy and corporate governance. The book concludes with three provocative chapters: Friederike Welter highlighting the power of words and images, Sameeksha Desai discussing the role of artificial intelligence and Mark Casson presenting a case for radical change to how entrepreneurship is studied. Presenting the most salient findings and themes in current literature, A Research Agenda for Entrepreneurship and Innovation is essential for researchers in innovation, as well as policy makers at both the local and national levels influenced by the increasing importance of entrepreneurship and innovation.
Entrepreneurial Thinking by
Dispelling common entrepreneurship myths, this textbook introduces the cutting-edge knowledge of entrepreneurship: the theories and empirical evidence rigorously developed by leading researchers. Helping upcoming entrepreneurs to think from a different perspective and avoid preventable mistakes, Entrepreneurial Thinking offers a summary of the most valuable and surprising contemporary research, translating it into clearly beneficial lessons, while emphasizing the entrepreneurial mindset crucial to venture success. Key features: Short and accessible synopses of 44 of the most influential research papers to advance students' knowledge on best practice in entrepreneurial thinking, especially in how to see opportunities that others overlook Examples of how to use available resources in unconventional ways, as well as explanations of cognitive biases that trap most fledgling entrepreneurs A consistent structure allowing students to understand the questions asked, the answers available and implications of each research paper effectively, and place research into practical situations An excellent guide for students of entrepreneurship, Entrepreneurial Thinkingis a brilliant overview of current research with practical benefits for the entrepreneurs of the future.
