Bibliographic Details
| 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] |
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| Database: |
Engineering Source |
