Interpretable Machine Learning

Author:

Chen Valerie1,Li Jeffrey2,Kim Joon Sik1,Plumb Gregory1,Talwalkar Ameet1

Affiliation:

1. Carnegie Mellon University

2. University of Washington

Abstract

The emergence of machine learning as a society-changing technology in the past decade has triggered concerns about people's inability to understand the reasoning of increasingly complex models. The field of IML (interpretable machine learning) grew out of these concerns, with the goal of empowering various stakeholders to tackle use cases, such as building trust in models, performing model debugging, and generally informing real human decision-making.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference24 articles.

1. Adebayo , J. , Gilmer , J. , Muelly , M. , Goodfellow , I. , Hardt , M. , Kim , B. 2018 . Sanity checks for saliency maps . In Proceedings of the 32nd International Conference on Neural Information Processing Systems, 9525-9536; https://dl.acm.org/doi/10 .5555/3327546.3327621. Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., Kim, B. 2018. Sanity checks for saliency maps. In Proceedings of the 32nd International Conference on Neural Information Processing Systems, 9525-9536; https://dl.acm.org/doi/10.5555/3327546.3327621.

2. Alvarez-Melis , D. , Jaakkola , T. 2018. On the robustness of interpretability methods. arXiv:1806.08049 ; https://arxiv.org/abs/ 1806 .08049. Alvarez-Melis, D., Jaakkola, T. 2018. On the robustness of interpretability methods. arXiv:1806.08049; https://arxiv.org/abs/1806.08049.

3. Arya , V. , Bellamy , R.K. , Chen , P.-Y. , Dhurandhar , A. , Hind , M. , Hoffman , S. C. , Houde , S. , Liao , Q.V. , Luss , R. , Mojsilovi ?, A., One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques. arXiv:1909.03012 ; https://arxiv.org/pdf/ 1909 .03012.pdf. Arya, V., Bellamy, R.K., Chen, P.-Y., Dhurandhar, A., Hind, M., Hoffman, S. C., Houde, S., Liao, Q.V., Luss, R., Mojsilovi?, A., et al. 2019. One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques. arXiv:1909.03012; https://arxiv.org/pdf/1909.03012.pdf.

4. Bach S. Binder A. Montavon G. Klauschen F. Müller K.-R. Samek W. 2015. On pixelwise explanations for non-linear classifier decisions by layer-wise relevance propagation. PloS ONE 10(7): e0130140; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130140. Bach S. Binder A. Montavon G. Klauschen F. Müller K.-R. Samek W. 2015. On pixelwise explanations for non-linear classifier decisions by layer-wise relevance propagation. PloS ONE 10(7): e0130140; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130140.

5. Bansal , G. , Wu , T. , Zhu , J. , Fok , R. , Nushi , B. , Kamar , E. , Ribeiro , M.T. , Weld , D S . 2020. Does the whole exceed its parts? The effect of AI explanations on complementary team performance. arXiv:2006.14779 ; https://arxiv.org/pdf/ 2006 .14779.pdf. Bansal, G., Wu, T., Zhu, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M.T., Weld, D S. 2020. Does the whole exceed its parts? The effect of AI explanations on complementary team performance. arXiv:2006.14779; https://arxiv.org/pdf/2006.14779.pdf.

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3