000			03934cam a22004218i 4500
999			_c596338 _d596338
001			21272038
003			US-DLC
005			20200224113337.0
008			191024s2020 mau b 001 0 eng
010			_a 2019024774
020			_a9780262538398 _q(paperback)
020			_z9780262357517 _q(ebook)
020			_z9780262357524 _q(ebook)
040			_aLBSOR/DLC _beng _erda _cDLC _dAU
042			_apcc
049			_aAlfaisal Main Library
050	0	0	_aHD45.2 _b.H69 2020
245	0	0	_aHow AI is transforming the organization.
246	3		_aHow artificial intelligence is transforming the organization
260			_c©2020
263			_a2002
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c©2020
300			_a157 p:
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aThe digital future of management series
500			_a"Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword.
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz.
520			_a"This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"--
650		0	_aAutomation _xManagement.
650		0	_aArtificial intelligence _xIndustrial applications.
650		0	_aEmployees _xEffect of automation on.
650		0	_aOrganizational change.
655		0	_2local _94 _aPrint books.
730	0		_aMIT Sloan management review.
942			_2lcc _cBOOKS