Who Cited It

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

2019 · Nature Machine Intelligence · 9,924 citations · 7 from inside this corpus

Cynthia Rudin

No abstract in the source record.

Stop explaining black box machine learning models for high stakes decisions and use inter… (2019)Stop explaining black box mac…Classification and Regression Trees. (1986)Classification and Regression…The magical number seven, plus or minus two: Some limits on our capacity for processing i… (1994)The magical number seven, plu…Domain-Adversarial Training of Neural Networks (2017)Domain-Adversarial Training o…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…Artificial intelligence in digital pathology — new tools for diagnosis and precision onco… (2019)Artificial intelligence in di…Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw… (2023)Explainable Artificial Intell…The false hope of current approaches to explainable artificial intelligence in health care (2021)The false hope of current app…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
11 of 11 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Classification and Regression Trees.198621,044
The magical number seven, plus or minus two: Some limits on our capacity for processing i…199417,324
Domain-Adversarial Training of Neural Networks20177,702
Definitions, methods, and applications in interpretable machine learning20192,161

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
On the Opportunities and Risks of Foundation Models20212,265
Definitions, methods, and applications in interpretable machine learning20192,161
Artificial intelligence in digital pathology — new tools for diagnosis and precision onco…20191,680
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…20231,679
The false hope of current approaches to explainable artificial intelligence in health care20211,572
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Artificial Intelligence in Healthcare and EducationMedicine
Machine Learning in HealthcareComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports55 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…