Performance in the Workplace: a Critical Evaluation of Cognitive Enhancement

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ACARTÜRK C., MÜCEN B.

NANOETHICS, vol.16, no.1, pp.107-114, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Editorial Material
  • Volume: 16 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.1007/s11569-021-00407-6
  • Journal Name: NANOETHICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, IBZ Online, ABI/INFORM, Humanities Abstracts, INSPEC, Philosopher's Index
  • Page Numbers: pp.107-114
  • Keywords: Performance, Cognitive sciences, Artificial intelligence, Mind as a machine, Cognitive enhancement, DEEP BRAIN-STIMULATION, WORKING-CONDITIONS, MENTAL-HEALTH, JOB STRESS, FOLLOW-UP, MACHINE, WORKERS, BURNOUT, LEVEL
  • Middle East Technical University Affiliated: Yes

Abstract

The popular debates about the future organization of work through artificial intelligence technologies focus on the replacement of human beings by novel technologies. In this essay, we oppose this statement by closely following what has been developed as AI technologies and analyzing how they work, specifically focusing on research that may impact work organizations. We develop this argument by showing that the recent research and developments in AI technologies focus on developing accurate and precise performance models, which in turn shapes organizational patterns of work. We propose that the increased interest in the relationship between human cognition and performance will shortly bring human cognition to the focus on AI systems in workplaces. More specifically, we claim that the cognitive load measurement will shape human performance in manufacturing systems shortly.