03967cam a22004458i 4500999001900000001000900019003000700028005001700035008004100052010001700093020003100110020002700141020002700168040003300195042000800228049002600236050002200262245004500284246006500329260001100394263000900405264005500414300001100469336002600480337002800506338002700534490004400561500025500605504005100860505143900911520081502350650002803165650005403193650004003247650002703287655002703314730003303341942001503374952013203389  c596338d59633821272038US-DLC20200224113337.0191024s2020    mau      b    001 0 eng    a  2019024774  a9780262538398q(paperback)  z9780262357517q(ebook)  z9780262357524q(ebook)  aLBSOR/DLCbengerdacDLCdAU  apcc  aAlfaisal Main Library00aHD45.2b.H69 202000aHow AI is transforming the organization.3 aHow artificial intelligence is transforming the organization  c©2020  a2002 1aCambridge, Massachusetts :bThe MIT Press,c©2020  a157 p:  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aThe digital future of management series  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.  aIncludes bibliographical references and index.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.  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"-- 0aAutomationxManagement. 0aArtificial intelligencexIndustrial applications. 0aEmployeesxEffect of automation on. 0aOrganizational change. 02local94aPrint books.0 aMIT Sloan management review.  2lcccBOOKS  00102lcc4070aAUbAUcGENd2020-02-24l0oHD45.2 .H69 2020pAU00000000016268r2020-02-24 00:00:00v178.00w2020-02-24yBOOKS