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AI and Human-Centered Skills in Modern Engineering.

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Title: AI and Human-Centered Skills in Modern Engineering.
Authors: Coker, A. Kayode1 kcoker1@hotmail.com
Source: Chemical Engineering. Jun2026, Vol. 133 Issue 6, p21-24. 4p.
Subjects: Artificial intelligence, Chemical engineering, Language models, Prediction models, Social skills, Knowledge transfer, Groupware (Computer software), Optimization algorithms
Abstract: The article focuses on the integration of artificial intelligence (AI) to enhance human-centered skills in modern chemical process engineering. It highlights how AI tools—such as natural language models, predictive analytics, optimization engines, and collaboration platforms—improve communication clarity, decision making, emotional intelligence, and workflow coordination in refining, petrochemical, and energy-transition facilities. Case studies demonstrate AI’s role in strengthening safety documentation, troubleshooting complex operations, and supporting cross-functional teamwork, while also addressing workforce challenges like knowledge transfer between experienced and junior engineers. The article emphasizes that AI complements rather than replaces engineering judgment, ultimately fostering safer, more efficient, and resilient plant operations. [Extracted from the article]
Copyright of Chemical Engineering is the property of Access Intelligence LLC 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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DbLabel: Engineering Source
An: 193974605
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PubType: Periodical
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  Data: AI and Human-Centered Skills in Modern Engineering.
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Engineering%22">Chemical Engineering</searchLink>. Jun2026, Vol. 133 Issue 6, p21-24. 4p.
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  Data: The article focuses on the integration of artificial intelligence (AI) to enhance human-centered skills in modern chemical process engineering. It highlights how AI tools—such as natural language models, predictive analytics, optimization engines, and collaboration platforms—improve communication clarity, decision making, emotional intelligence, and workflow coordination in refining, petrochemical, and energy-transition facilities. Case studies demonstrate AI’s role in strengthening safety documentation, troubleshooting complex operations, and supporting cross-functional teamwork, while also addressing workforce challenges like knowledge transfer between experienced and junior engineers. The article emphasizes that AI complements rather than replaces engineering judgment, ultimately fostering safer, more efficient, and resilient plant operations. [Extracted from the article]
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  Data: <i>Copyright of Chemical Engineering is the property of Access Intelligence LLC 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.)
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      – Code: eng
        Text: English
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        StartPage: 21
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Chemical engineering
        Type: general
      – SubjectFull: Language models
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Social skills
        Type: general
      – SubjectFull: Knowledge transfer
        Type: general
      – SubjectFull: Groupware (Computer software)
        Type: general
      – SubjectFull: Optimization algorithms
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      – TitleFull: AI and Human-Centered Skills in Modern Engineering.
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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