000			03898cam a2200349 i 4500
001			22645888
003			OSt
005			20260330163338.0
008			220609s2022 maua b 001 0 eng
010			_a 2022020618
020			_a9781647824198 _q(hardcover)
040			_cIILMLR
082	0	0	_a006.33
100	1		_aAgrawal, Ajay, _eauthor.
245	1	0	_aPower and prediction : _bthe disruptive economics of artificial intelligence / _cAjay Agrawal, Joshua Gans, Avi Goldfarb.
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c[2022]
300			_axiv, 268 pages : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 237-253) and index.
505	0		_aPart 1: The Between Times -- Chapter 1: A Parable of Three Entrepreneurs -- Chapter 2: AI's System Future -- Chapter 3: AI Is Prediction Technology -- Part 2: Rules -- Chapter 4: To Decide or Not to Decide -- Chapter 5: Hidden Uncertainty -- Chapter 6: Rules are Glue -- Part 3: Systems -- Chapter 7: Glued vs. Oiled Systems -- Chapter 8: The System Mindset -- Chapter 9: The Greatest System of All -- Part 4: Power -- Chapter 10: Disruption and Power -- Chapter 11: Do Machines Have Power? -- Agrawal et al FM- -- Chapter 12: Accumulating Power -- Part 5: How AI Disrupts -- Chapter 13: A Great Decoupling -- Chapter 14: Thinking Probabilistically -- Chapter 15: The New Judges -- Part 6: Envisaging New Systems -- Chapter 16: Designing Reliable Systems -- Chapter 17: The Blank Slate -- Chapter 18: Anticipating System Change -- Epilogue: AI Bias and Systems
520			_a"Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"-- _cProvided by publisher.
650		0	_aArtificial intelligence.
650		0	_aPrediction of occupational success.
650		0	_aForecasting.
650		0	_aDisruptive technologies.
650		0	_aPower (Social sciences)
700	1		_aGans, Joshua, _d1968- _eauthor.
700	1		_aGoldfarb, Avi, _eauthor.
942			_2ddc _cBK _hoo6.33 AGR 2022 _n0
999			_c14012 _d14012