TY - JOUR
AU - 
AB - SYSTEMATIC REVIEW published: 28 April 2021 doi: 10.3389/frai.2021.604234 Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends 1 2 1,2 Rowan T. Hughes *, Liming Zhu and Tomasz Bednarz Expanded Perception and Interaction Centre (EPICentre), Faculty of Art and Design, University of New South Wales, Sydney, NSW, Australia, CSIRO Data61, Australian Technology Park, Eveleigh, NSW, Astralia The future of work and workplace is very much in flux. A vast amount has been written about artificial intelligence (AI) and its impact on work, with much of it focused on automation and its impact in terms of potential job losses. This review will address one area where AI is being added to creative and design practitioners’ toolbox to enhance their Edited by: creativity, productivity, and design horizons. A designer’s primary purpose is to create, or Hamed Zolbanin, University of Dayton, United States generate, the most optimal artifact or prototype, given a set of constraints. We have seen Reviewed by: AI encroaching into this space with the advent of generative networks and generative Pankush Kalgotra, adversarial networks (GANs) in particular. This area has become one of the most active Auburn University, 
TI - Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
JF - Frontiers in Artificial Intelligence
DO - 10.3389/frai.2021.604234
DA - 2021-04-28
UR - https://www.deepdyve.com/lp/unpaywall/generative-adversarial-networks-enabled-human-artificial-intelligence-T07uPKDglw
DP - DeepDyve
ER -