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Paper

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

by C. Rudin bc00ff34ec7772080c7039b17f7069a2f7df0889
Free2AITools Nexus Index
65.1
S: Semantic 50

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A: Authority 95
P: Popularity 79
R: Recency 100
Q: Quality 45
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Semantic Scholar 7.7K Citations
Paper Information Summary
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Registry ID bc00ff34ec7772080c7039b17f7069a2f7df0889
License ArXiv
Provider semantic_scholar
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BibTeX
@misc{bc00ff34ec7772080c7039b17f7069a2f7df0889,
  author = {C. Rudin},
  title = {Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/bc00ff34ec7772080c7039b17f7069a2f7df0889}},
  note = {Accessed via Free2AITools.}
}
APA Style
C. Rudin. (2026). Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead [Paper]. Free2AITools. https://api.semanticscholar.org/bc00ff34ec7772080c7039b17f7069a2f7df0889

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βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 95
Popularity (P) 79
Recency (R) 100
Quality (Q) 45

πŸ’¬ Index Insight

FNI V2.0 for Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead: Authority (A:95), Popularity (P:79), Recency (R:100), Quality (Q:45). Semantic (S) is a query-time baseline scored live at search.

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❝ Cite Node

@article{Rudin2026Stop,
  title={Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead},
  author={C. Rudin},
  note={Indexed by Free2AITools},
  year={2026}
}

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C. Rudin

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πŸ“ˆ7,735CitationsSemantic Scholar
πŸ›οΈ95AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…45QualityFNI pillar
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πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

source
semantic_scholar
author
C. Rudin
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

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