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by Ajay Agrawal (Author), Joshua Gans (Author), Avi Goldfarb (Author)
La inteligencia artificial hace lo aparentemente imposible, trayendo mágicamente las máquinas a los coches que conducen la vida, intercambiando acciones y enseñando a los niños. Pero enfrentar el cambio radical que traerá la IA puede ser paralizante. Cómo deberían las empresas establecer estrategias, los gobiernos diseñar políticas y las personas planificar sus vidas para un mundo tan diferente al que conocemos? Ante tal incertidumbre, muchos analistas se acobardan de miedo o predicen un futuro imposiblemente soleado. ///// 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.
