Mehic-Dzanic, A. (2019). AI and the future of work [Master Thesis, Technische Universität Wien; Wirtschaftsuniversität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.68520
Artificial intelligence; Future of work; Lifelong learning; Workforce transition; Digitization; Employment; Future of skills; Human plus Machine; Labor market
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Artificial intelligence; Future of work; Lifelong learning; Workforce transition; Digitization; Employment; Future of skills; Human plus Machine; Labor market
en
Abstract:
In January 2011, a supercomputer called IBM Watson played a game Jeopardy! and won against two of its best human players in the history of this game, Ken Jennings and Brad Rutter. “And winning at Jeopardy! requires mastering of pattern matching and complex communication, repeatedly, accurately, and almost simultaneously.” (Brynjolfsson and McAfee, 2016, p. 24- 27) Ever since the discussion of human superiority versus machines is ongoing and it is one of the hottest topics of nowadays. This research aims to understand the global implications of AI and advanced technologies on jobs across the industry and find practical solutions to support industry productivity growth and novel ideas. In the first part of the study, based on the literature review, the human plus machine collaboration is carefully elaborated and made as a recommendation for the organizations to win the race against competitors and attract and keep their top talent. We are witnessing the unprecedented level of disruption and we see companies that are capable of fundamentally changing the way they serve their customers by adopting the proper mindset, being open to experimentation and investing in their workforce. (Accenture, 2018b) found that 64 percent of workers recognize that the speed of change is advancing as a result of advanced technologies such as AI. The second part of the study focuses on the five key management practices to support organizations leaders to be at the forefront of implementing advanced AI technologies. Findings from a combination of theoretical and practical research through literature review and case studies suggest that factors such as leadership, data-driven decision making as well fusion skills augmenting human capabilities, could be defined as thriving factors to succeed in the world of human plus machine collaboration. This research provides actionable recommendations for all three constituents individuals, organizations and policy makers, to better prepare for the exciting new world of work where humans will work together with machines to successfully master worlds greatest challenges.