当前位置: X-MOL 学术Journal of Economic Perspectives › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System
Journal of Economic Perspectives ( IF 6.9 ) Pub Date : 2021-11-04 , DOI: 10.1257/jep.35.4.71
Jens Ludwig 1 , Sendhil Mullainathan 2
Affiliation  

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of algorithms, in part through improving the tools used to build them.

中文翻译:

脆弱的算法和容易犯错的决策者:司法系统的教训

算法(以某种形式)已经广泛用于刑事司法系统。随着机器学习的普及,我们从这种经验中汲取教训,以应对社会其他方面的发展。我们发现经济学家和其他社会科学家在塑造算法的影响方面发挥着关键作用,部分是通过改进用于构建算法的工具。
更新日期:2021-11-04
down
wechat
bug