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。
While artificial intelligence(Al)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 faimess.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.
作者
孙继文
Sun Jiwen(Henan Judicial Police Vocational College,Zhengzhou,Henan 450018)
出处
《河南司法警官职业学院学报》
2024年第2期72-76,共5页
Journal of Henan Judicial Police Vocational College
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
algorithms
principle of fairness
data bias
algorithmic black boxes
algorithm transparency
algorithm interpretability