Movatterモバイル変換


[0]ホーム

URL:


PhilPapersPhilPeoplePhilArchivePhilEventsPhilJobs
Switch to: References

Add citations

You mustlogin to add citations.
  1. What We Talk About When We Talk About Stakeholders.Heather Elms,Shawn L. Berman,Hussein Fadlallah,Robert A. Phillips &Michael E. Johnson-Cramer -2022 -Business and Society 61 (5):1083-1135.
    Will stakeholder theory continue to transform how we think about business and society? On the occasion of this journal’s 60th anniversary, this review article examines the journal’s role in shaping stakeholder theory to date and suggests that it still has transformative potential. We conducted a bibliometric analysis of co-citations in the literature from 1984 to 2020. Reporting these results, we examine the field’s evolving structure. Contextualized theoretically as an accomplishment of institutional work—the creation of a meaningful and innovative field ideology—this (...) structure is remarkable for how it integrates ethical and behavioral arguments, invites engagement from adjacent domains, and arrives at important insights for business and society. We advance a research agenda consistent with this larger institutional project. (shrink)
    No categories
    Direct download(2 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  • SAF: Stakeholders’ Agreement on Fairness in the Practice of Machine Learning Development.Georgina Curto &Flavio Comim -2023 -Science and Engineering Ethics 29 (4):1-19.
    This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with stakeholders. The pro-ethical iterative process presented in the paper aims to challenge asymmetric power dynamics in the fairness decision making within ML design and support ML development teams to identify, mitigate and monitor bias at each step of ML systems development. The process (...) also provides guidance on how to explain the always imperfect trade-offs in terms of bias to users. (shrink)
    Direct download(3 more)  
     
    Export citation  
     
    Bookmark  

  • [8]ページ先頭

    ©2009-2025 Movatter.jp