A Semantic Framework to Support AI System Accountability and Audit

Author:

Naja Iman,Markovic Milan,Edwards Peter,Cottrill Caitlin

Publisher

Springer International Publishing

Reference28 articles.

1. ACM U.S. Public Policy Council (USACM) and ACM Europe Council Policy Committee (EUACM): Statement on algorithmic transparency and accountability, May 2017. https://www.acm.org/binaries/content/assets/public-policy/2017_joint_statement_algorithms.pdf. Accessed 24 Jan 2019

2. Amershi, S., et al.: Software engineering for machine learning: a case study. In: 2019 IEEE/ACM 41st Int’l Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), pp. 291–300. IEEE (2019)

3. Cuevas-Vicenttín, V., et al.: Provone: a prov extension data model for scientific workflow provenance (2015). https://purl.dataone.org/provone-v1-dev

4. Curcin, V., Fairweather, E., Danger, R., Corrigan, D.: Templates as a method for implementing data provenance in decision support systems. J. Biomed. Inform. 65, 1–21 (2017)

5. Department of Health & Social Care (UK): Code of conduct for data-driven health and care technology, July 2019. https://www.gov.uk/government/publications/code-of-conduct-for-data-driven-health-and-care-technology/initial-code-of-conduct-for-data-driven-health-and-care-technology

Cited by 16 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

1. Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability;Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI;2024-04-14

2. Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges;ACM Computing Surveys;2023-12-28

3. FIDES: An ontology-based approach for making machine learning systems accountable;Journal of Web Semantics;2023-12

4. A Framework to Assess Knowledge Graphs Accountability;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

5. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering;ACM Computing Surveys;2023-10-05

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