Who Cited It

Can we open the black box of AI?

2016 · Nature · 1,751 citations · 5 from inside this corpus

Davide Castelvecchi low

Artificial intelligence is everywhere. But before scientists trust it, they first need to understand how machines learn.

Can we open the black box of AI? (2016)Can we open the black box of …Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Machine Learning in Medicine (2019)Machine Learning in MedicineAdversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…The effects of explainability and causability on perception, trust, and acceptance: Impli… (2020)The effects of explainability…A Survey on Deep Learning (2018)A Survey on Deep Learning
6 of 6 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.
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Citation edge evidence

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What this paper cites, inside the corpus

PaperYearCited
Probabilistic machine learning and artificial intelligence20152,031

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Machine Learning in Medicine20194,382
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786
The effects of explainability and causability on perception, trust, and acceptance: Impli…20201,420
A Survey on Deep Learning20181,398

Links

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Topics

Machine Learning and Data ClassificationComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science
Machine Learning and AlgorithmsComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports6 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…