人工智能算法决策与民法公平原则的冲突与协调
The Conflicts and Coordination between Decision-making of Artificial Intelligence Algorithms and the Principle of Fairness in Civil Law
孙继文1
作者信息
- 1. 河南司法警官职业学院,河南郑州 450018
- 折叠
摘要
人工智能算法决策在自动化、效率提升以及精确度提高等方面展现出了巨大的优势,然而其在实际应用中却常常受到数据偏见、算法黑箱的困扰,侵犯隐私权等问题也时有发生.这些问题与民法公平原则产生了严重冲突,引发了公众对其产生信任危机,对社会的公平构成了挑战.为了解决这些冲突,我们需要加强对算法决策的监管,防止偏见与歧视的产生.提高算法决策的透明度,让公众了解其运作逻辑和决策依据,增强其可信任度.
Abstract
While artificial intelligence(AI)algorithm decision-making has demonstrated significant advantages in automation,efficiency improvement,and accuracy enhancement,it often encounters issues such as data bias,algorithmic black boxes,and privacy infringement in practical applications.These issues have created profound conflicts with the principle of fairness in civil law,triggered a crisis of trust among the public,and posed challenges to social fairness.To address these conflicts,it is necessary to strengthen the supervision of algorithm decision-making,and prevent the emergence of bias and discrimination.Enhancing the transparency of algorithm decision-making,allowing the public to understand its operational logic and decision-making basis,can increase its trustworthiness.
关键词
算法/公平原则/数据偏见/算法黑箱/算法透明/算法可解释Key words
algorithms/principle of fairness/data bias/algorithmic black boxes/algorithm transparency/algorithm interpretability引用本文复制引用
出版年
2024
NETL
NSTL
万方数据