arXiv:1809.04684
Fair lending needs explainable models for responsible recommendation
원문 초록
The financial services industry has unique explainability and fairness challenges arising from compliance and ethical considerations in credit decisioning. These challenges complicate the use of model machine learning and artificial intelligence methods in business decision processes.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Repurposing recidivism models for forecasting police officer use of force
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
Guiding LLM Decision-Making with Fairness Reward Models
Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
Datasets for Fairness in Language Models: An In-Depth Survey
토론
이 논문과 연결된 포럼 글이 아직 없습니다.