ivada-infra/DOCS
3
0
Fork 0
Code Issues 1 Pull Requests 5 Actions Packages Projects Releases Wiki Activity
DOCS/journey/research/explainability/wachter_et_al_2017_counterfactual_explanations.md
Claude-51124 22557e7132 docs: 오래된 트러블슈팅 아카이브 및 구조 정리 
- 7-8월 초기 구축 문서 12개를 _archive/troubleshooting/2025_07-08_initial_setup/로 이동
- book/300_architecture/390_human_in_the_loop_intent_learning.md를 journey/research/intent_classification/로 이동 (개발 여정 문서)
- 빈 폴더 제거 (journey/assets/*)
2025-11-17 14:06:05 +09:00

598 B
Raw Blame History

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

  • Authors: Sandra Wachter, Brent Mittelstadt, Chris Russell
  • Year: 2017
  • Summary: This paper proposes counterfactual explanations as a way to explain automated decisions. A counterfactual explanation describes the smallest change to the world (input features) that would produce a different outcome. For example, "You would have gotten the loan if your income was $10,000 higher." This is intuitive for humans and provides actionable recourse.
  • Link: https://arxiv.org/abs/1711.00399