Uncovering Strategies and Commitment Through Machine Learning System Introspection

Author:

Allen Julia FilibertiORCID,Schmidt Steve,Gabriel Steven A.

Funder

Defense Sciences Office, DARPA

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference29 articles.

1. Barredo Arrieta A, et al. Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf Fusion. 2020;58:82–115.

2. Murdoch WJ, Singh C, Kumbier K, Abbasi-Asl R, Yu B. Definitions, methods, and applications in interpretable machine learning. Proc Natl Acad Sci U S A. 2019;116(44):22071–80. https://doi.org/10.1073/pnas.1900654116.

3. E. Schmidt et al., “Final Report, Chapter 7: Establishing Justified Confidence in AI Systems,” 2021.

4. Google, “Explainable AI,” 2021. https://cloud.google.com/explainable-ai.

5. I.B.M., “Explainable AI,” 2021. https://www.ibm.com/watson/explainable-ai.

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