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Engineering AI Trustworthiness: A Framework of Civil Engineering Ethics and Explainable AI to Build AI Bridges from Research to Practice.

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Title: Engineering AI Trustworthiness: A Framework of Civil Engineering Ethics and Explainable AI to Build AI Bridges from Research to Practice.
Authors: Byrd, Aaron R.1 (AUTHOR) Aaron.R.Byrd2@usace.army.mil, Geheran, Matthew2 (AUTHOR) Matthew.P.Geheran@usace.army.mil
Source: Journal of Computing in Civil Engineering. May2026, Vol. 40 Issue 3, p1-7. 7p.
Subjects: Engineering ethics, Artificial intelligence & ethics, Artificial intelligence
Abstract: Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computing in Civil Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Engineering AI Trustworthiness: A Framework of Civil Engineering Ethics and Explainable AI to Build AI Bridges from Research to Practice.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computing+in+Civil+Engineering%22">Journal of Computing in Civil Engineering</searchLink>. May2026, Vol. 40 Issue 3, p1-7. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Engineering+ethics%22">Engineering ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink>
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  Data: Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computing in Civil Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192321089
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      – Type: doi
        Value: 10.1061/JCCEE5.CPENG-6649
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      – Code: eng
        Text: English
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        PageCount: 7
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      – SubjectFull: Engineering ethics
        Type: general
      – SubjectFull: Artificial intelligence & ethics
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      – SubjectFull: Artificial intelligence
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      – TitleFull: Engineering AI Trustworthiness: A Framework of Civil Engineering Ethics and Explainable AI to Build AI Bridges from Research to Practice.
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            NameFull: Byrd, Aaron R.
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              M: 05
              Text: May2026
              Type: published
              Y: 2026
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