XAI-Explainable artificial intelligence
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gunning, David | ko |
| dc.contributor.author | Stefik, Mark | ko |
| dc.contributor.author | Choi, Jaesik | ko |
| dc.contributor.author | Miller, Timothy | ko |
| dc.contributor.author | Stumpf, Simone | ko |
| dc.contributor.author | Yang, Guang-Zhong | ko |
| dc.date.accessioned | 2020-01-07T07:20:56Z | - |
| dc.date.available | 2020-01-07T07:20:56Z | - |
| dc.date.created | 2020-01-06 | - |
| dc.date.created | 2020-01-06 | - |
| dc.date.created | 2020-01-06 | - |
| dc.date.created | 2020-01-06 | - |
| dc.date.created | 2020-01-06 | - |
| dc.date.issued | 2019-12 | - |
| dc.identifier.citation | SCIENCE ROBOTICS, v.4, no.37 | - |
| dc.identifier.issn | 2470-9476 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/270938 | - |
| dc.description.abstract | Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. | - |
| dc.language | English | - |
| dc.publisher | AMER ASSOC ADVANCEMENT SCIENCE | - |
| dc.title | XAI-Explainable artificial intelligence | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000503429200003 | - |
| dc.identifier.scopusid | 2-s2.0-85077809710 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 4 | - |
| dc.citation.issue | 37 | - |
| dc.citation.publicationname | SCIENCE ROBOTICS | - |
| dc.identifier.doi | 10.1126/scirobotics.aay7120 | - |
| dc.contributor.localauthor | Choi, Jaesik | - |
| dc.contributor.nonIdAuthor | Gunning, David | - |
| dc.contributor.nonIdAuthor | Stefik, Mark | - |
| dc.contributor.nonIdAuthor | Miller, Timothy | - |
| dc.contributor.nonIdAuthor | Stumpf, Simone | - |
| dc.contributor.nonIdAuthor | Yang, Guang-Zhong | - |
| dc.description.isOpenAccess | N | - |
| dc.type.journalArticle | Editorial Material | - |
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- AI-Journal Papers(저널논문)
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