算法的伦理问题及其解决进路
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  • 英文篇名:Ethical Issues of Algorithms and Their Solutions
  • 作者:刘培 ; 池忠军
  • 英文作者:LIU Pei;CHI Zhong-jun;School of Marxism,China University of Mining and Technology;
  • 关键词:算法歧视 ; 自主性 ; 可责性 ; 透明性 ; 伦理责任
  • 英文关键词:algorithm discrimination;;autonomy;;accountability;;transparency;;ethical responsibity
  • 中文刊名:DBDS
  • 英文刊名:Journal of Northeastern University(Social Science)
  • 机构:中国矿业大学马克思主义学院;
  • 出版日期:2019-03-11 14:25
  • 出版单位:东北大学学报(社会科学版)
  • 年:2019
  • 期:v.21;No.114
  • 基金:国家社会科学基金资助项目(14BKS039)
  • 语种:中文;
  • 页:DBDS201902002
  • 页数:8
  • CN:02
  • ISSN:21-1413/G4
  • 分类号:11-18
摘要
算法作为强大的参与者介入甚至主导人类社会各领域。然而,日益复杂且自主的算法引发了透明性、公平性、算法歧视、自主性、隐私安全以及可责性等诸多伦理问题。从解决算法伦理问题的内部进路看,至少有算法的伦理设计和应用范围限定两种方式;从解决算法伦理问题的外部进路看,应该注重设计者的伦理责任与多领域合作、鼓励公众参与算法设计以及对算法进行监管。只有采取切实有效的措施解决算法的伦理问题,才能走向公平、透明、负责任的算法。
        As a powerful actor,algorithms intervene and even dominate in a wide variety of domains.However,increasingly complex and autonomous algorithms pose such ethical issues as transparency,fairness,algorithm discrimination,autonomy,privacy security and accountability.From the internalist approach,there are at least two solutions:algorithm ethical design and application limits.From the externalist approach,designers' ethical responsibilities and multidisciplinary cooperation should be emphasized,and the public should be encouraged to participate in algorithm design and algorithm supervision.Only by taking effective measures to solve the ethical issues of algorithms can fair,transparent and accountable algorithms be obtained.
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