A risk-based model for human-artificial intelligence conflict resolution in process systems
The conflicts stemming from discrepancies between human and artificial intelligence (AI) in observation, interpretation, and action have gained attention. Recent publications highlight the seriousness of the concern stemming from conflict and models to identify and assess the conflict risk. No work...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Digital Chemical Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508124000565 |
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| author | He Wen Faisal Khan |
| author_facet | He Wen Faisal Khan |
| author_sort | He Wen |
| collection | DOAJ |
| description | The conflicts stemming from discrepancies between human and artificial intelligence (AI) in observation, interpretation, and action have gained attention. Recent publications highlight the seriousness of the concern stemming from conflict and models to identify and assess the conflict risk. No work has been reported on systematically studying how to resolve human and artificial intelligence conflicts. This paper presents a novel approach to model the resolution strategies of human-AI conflicts. This approach reinterprets the conventional human conflict resolution mechanisms within AI. The study proposes a unique mathematical model to quantify conflict risks and delineate effective resolution strategies to minimize conflict risk. The proposed approach and mode are applied to control a two-phase separator system, a major component of a processing facility. The proposed approach promotes the development of robust AI systems with enhanced real-time responses to human inputs. It provides a platform to foster human-AI collaborative engagement and a mechanism of intelligence augmentation. |
| format | Article |
| id | doaj-art-6f6ca7c75fc14e52bc64ec464dbe8de1 |
| institution | DOAJ |
| issn | 2772-5081 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Digital Chemical Engineering |
| spelling | doaj-art-6f6ca7c75fc14e52bc64ec464dbe8de12025-08-20T02:50:26ZengElsevierDigital Chemical Engineering2772-50812024-12-011310019410.1016/j.dche.2024.100194A risk-based model for human-artificial intelligence conflict resolution in process systemsHe Wen0Faisal Khan1Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2E1, CanadaMary Kay O'Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States; Corresponding author.The conflicts stemming from discrepancies between human and artificial intelligence (AI) in observation, interpretation, and action have gained attention. Recent publications highlight the seriousness of the concern stemming from conflict and models to identify and assess the conflict risk. No work has been reported on systematically studying how to resolve human and artificial intelligence conflicts. This paper presents a novel approach to model the resolution strategies of human-AI conflicts. This approach reinterprets the conventional human conflict resolution mechanisms within AI. The study proposes a unique mathematical model to quantify conflict risks and delineate effective resolution strategies to minimize conflict risk. The proposed approach and mode are applied to control a two-phase separator system, a major component of a processing facility. The proposed approach promotes the development of robust AI systems with enhanced real-time responses to human inputs. It provides a platform to foster human-AI collaborative engagement and a mechanism of intelligence augmentation.http://www.sciencedirect.com/science/article/pii/S2772508124000565Human-AI conflictConflict riskConflict resolutionHuman-AI collaborationIntelligence augmentation |
| spellingShingle | He Wen Faisal Khan A risk-based model for human-artificial intelligence conflict resolution in process systems Digital Chemical Engineering Human-AI conflict Conflict risk Conflict resolution Human-AI collaboration Intelligence augmentation |
| title | A risk-based model for human-artificial intelligence conflict resolution in process systems |
| title_full | A risk-based model for human-artificial intelligence conflict resolution in process systems |
| title_fullStr | A risk-based model for human-artificial intelligence conflict resolution in process systems |
| title_full_unstemmed | A risk-based model for human-artificial intelligence conflict resolution in process systems |
| title_short | A risk-based model for human-artificial intelligence conflict resolution in process systems |
| title_sort | risk based model for human artificial intelligence conflict resolution in process systems |
| topic | Human-AI conflict Conflict risk Conflict resolution Human-AI collaboration Intelligence augmentation |
| url | http://www.sciencedirect.com/science/article/pii/S2772508124000565 |
| work_keys_str_mv | AT hewen ariskbasedmodelforhumanartificialintelligenceconflictresolutioninprocesssystems AT faisalkhan ariskbasedmodelforhumanartificialintelligenceconflictresolutioninprocesssystems AT hewen riskbasedmodelforhumanartificialintelligenceconflictresolutioninprocesssystems AT faisalkhan riskbasedmodelforhumanartificialintelligenceconflictresolutioninprocesssystems |