Search (2 results, page 1 of 1)

  • × author_ss:"Boyd, K."
  • × author_ss:"Jarrahi, M.H."
  • × year_i:[2020 TO 2030}
  1. Jarrahi, M.H.; Lutz, C.; Boyd, K.; Oesterlund, C.; Willis, M.: Artificial intelligence in the work context (2023) 0.00
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    Abstract
    Artificial intelligence (AI) reconfigures work and organization, while work and organization shape AI. In this special issue, we explore these mutual transformations and how they play out across industries and occupations. We argue that, to truly appreciate this transformative power, the use of AI should be understood in relation to key dimensions of the work context. In this editorial, we discuss the sociotechnical dynamics of AI implementation, the research landscape of AI in the context of work, and key contextual factors on the macro- and micro-level that help understand the AI-work nexus. We then provide directions for future research at the intersection of work and AI.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.3, S.303-310
  2. Oesterlund, C.; Jarrahi, M.H.; Willis, M.; Boyd, K.; Wolf, C.T.: Artificial intelligence and the world of work : a co-constitutive relationship (2021) 0.00
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    Abstract
    The use of intelligent machines-digital technologies that feature data-driven forms of customization, learning, and autonomous action-is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information professionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination network (note: https://waim.network).
    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.128-135