000			02399nam a22001697a 4500
999			_c296712 _d296712
020			_a9781633695672
082			_a658.0563 AGR-P
100			_a Ajay Agrawal
245			_aPrediction Machines : The Simple Economics of Artificial Intelligence
260			_a Boston, Massachusetts _bHarvard Business Review Press _c2018
300			_a x, 250 pages ; 25 cm
505			_aCheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business.
520			_a The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities.
650			_a Artificial intelligence -- Economic aspects. Decision making -- Statistical methods. Forecasting -- Statistical methods.
700			_a Joshua Gans; Avi Goldfarb
942			_cBK