Algorithmic Authority and the Complexities of Delegated Decision-Making: Case Studies on Ethical Challenges for ۲۱st-Century Leadership

  • سال انتشار: 1404
  • محل انتشار: مجله بین المللی رهبری سازمانی، دوره: 14، شماره: 3
  • کد COI اختصاصی: JR_IJOL-14-3_005
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 33
دانلود فایل این مقاله

نویسندگان

Victor Frimpong

Management Department, SBS Swiss Business School, Zurich, Switzerland

چکیده

The rapid integration of AI into high-stakes decision-making has outpaced traditional mechanisms for human oversight and accountability, leaving leaders without clear guidance on how to leverage algorithmic systems responsibly. To address this gap, we conducted a comparative qualitative study of four landmark AI deployments: the UK A-Level grading algorithm used during the COVID-۱۹ pandemic, Amazon’s automated hiring tool, the COMPAS recidivism risk score in the U.S. criminal justice system, and the Dutch SyRI welfare-fraud detection system. Drawing on ۶۱ publicly available government reports, internal memos, and media articles, we applied a rigorous two-phase grounded-theory coding process in NVivo, producing a comprehensive ۳۲-item codebook and achieving substantial inter-coder reliability. We then quantified thematic occurrences across ۱۱۰ coded segments and conducted chi-square tests to confirm consistent application of themes across cases. Our analysis yielded four actionable principles: ۱) Intentionality—leaders must consciously elect to involve AI rather than default to automation; ۲) Interpretability—systems should provide accessible explanations for bias detection and decision justification; ۳) Moral Authorship—human actors must explicitly claim ultimate responsibility for outcomes; ۴) Justice—delegation structures must be designed to prevent the perpetuation of existing inequities. Together, these principles form a reproducible analytical roadmap and offer practical guidance for accountable AI governance in high-stakes contexts.

کلیدواژه ها

AI ethics in leadership, delegated decision-making, Algorithmic accountability, ethical AI governance, ۲۱st-century leadership, AI moral responsibility

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.