The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

Donghee Shin

doi:https://doi.org/10.1016/j.ijhcs.2020.102551

The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

2020 · International Journal of Human-Computer Studies · 1,420 citations · 0 from inside this corpus

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The effects of explainability and causability on perception, trust, and acceptance: Impli…→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable
The effects of explainability and causability on perception, trust, and acceptance: Impli…→XAI—Explainable artificial intelligenceLegacy edge — source detail unavailable
The effects of explainability and causability on perception, trust, and acceptance: Impli…→Causability and explainability of artificial intelligence in medicineLegacy edge — source detail unavailable
The effects of explainability and causability on perception, trust, and acceptance: Impli…→Can we open the black box of AI?Legacy edge — source detail unavailable
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Can we open the black box of AI?Legacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…	2019	9,796
XAI—Explainable artificial intelligence	2019	2,002
Causability and explainability of artificial intelligence in medicine	2019	1,851
Can we open the black box of AI?	2016	1,751

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Topics

Explainable Artificial Intelligence (XAI)	Computer Science
Ethics and Social Impacts of AI	Social Sciences
Artificial Intelligence in Healthcare and Education	Medicine

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