Innovation Equality How To Create A Future That Is More Star Trek The Terminator


Download Innovation Equality How To Create A Future That Is More Star Trek The Terminator PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Innovation Equality How To Create A Future That Is More Star Trek The Terminator book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Innovation + Equality


Innovation + Equality

Author: Joshua Gans

language: en

Publisher: MIT Press

Release Date: 2020-12-08


DOWNLOAD





How to get more innovation and more equality. Is economic inequality the price we pay for innovation? The amazing technological advances of the last two decades—in such areas as artificial intelligence, genetics, and materials—have benefited society collectively and rewarded innovators handsomely: we get cool smartphones and technology moguls become billionaires. This contributes to a growing wealth gap; in the United States; the wealth controlled by the top 0.1 percent of households equals that of the bottom ninety percent. Is this the inevitable cost of an innovation-driven economy? Economist Joshua Gans and policy maker Andrew Leigh make the case that pursuing innovation does not mean giving up on equality—precisely the opposite. In this book, they outline ways that society can become both more entrepreneurial and more egalitarian. All innovation entails uncertainty; there's no way to predict which new technologies will catch on. Therefore, Gans and Leigh argue, rather than betting on the future of particular professions, we should consider policies that embrace uncertainty and protect people from unfavorable outcomes. To this end, they suggest policies that promote both innovation and equality. If we encourage innovation in the right way, our future can look more like the cheerful techno-utopia of Star Trek than the dark techno-dystopia of The Terminator.

Innovation Pathways to Sustainability


Innovation Pathways to Sustainability

Author: Michael Lester

language: en

Publisher: Taylor & Francis

Release Date: 2024-08-09


DOWNLOAD





The book offers insights into reconciling innovation with sustainability and identifying key stakeholders responsible for the reconciliation. Through conversations with experts in various fields, the intersection of innovation, sustainability, governance and complex systems in a rapidly changing climate-driven world is discussed. Countries around the world face the urgent existential challenge to tackle climate change and CO2 emissions. In its discussions of case studies of key economic sectors in Australia, this book focuses on the emerging experience with harnessing innovation to sustainability. The interdisciplinary approach to the complexity of climate change and policy making provides readers an opportunity for thoughtful discussions and lessons to be learnt from multiple angles. This is a vital resource for scholars in climate studies, innovation and sustainability that also confronts important challenges facing policymakers, government and society.

Prediction Machines, Updated and Expanded


Prediction Machines, Updated and Expanded

Author: Ajay Agrawal

language: en

Publisher: Harvard Business Press

Release Date: 2022-11-15


DOWNLOAD





Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings 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 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 masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs. In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid 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 strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.