Your browser doesn't support javascript.
loading
Assessment of Situation Awareness Conflict Risk between Human and AI in Process System Operation.
Wen, He; Amin, Md Tanjin; Khan, Faisal; Ahmed, Salim; Imtiaz, Syed; Pistikopoulos, Efstratios.
Afiliação
  • Wen H; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied ScienceMemorial University, St. John's, NL A1B 3X5, Canada.
  • Amin MT; Mary Kay O'Connor Process Safety Center (MKOPSC), Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States.
  • Khan F; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied ScienceMemorial University, St. John's, NL A1B 3X5, Canada.
  • Ahmed S; Mary Kay O'Connor Process Safety Center (MKOPSC), Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States.
  • Imtiaz S; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied ScienceMemorial University, St. John's, NL A1B 3X5, Canada.
  • Pistikopoulos E; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied ScienceMemorial University, St. John's, NL A1B 3X5, Canada.
Ind Eng Chem Res ; 62(9): 4028-4038, 2023 Mar 08.
Article em En | MEDLINE | ID: mdl-38332759
ABSTRACT
The conflict between human and artificial intelligence is a critical issue, which has recently been introduced in Process System Engineering, capturing the observation and action conflicts. Interpretation conflict is another source of potential conflict that can cause serious concern for process safety as it is often perceived as confusion, surprise, or a mistake. It is intangible and associated with situation awareness. However, interpretation conflict has not been studied with the required emphasis. The current work proposes a novel methodology to quantify interpretation conflict probability and risk. The methodology is demonstrated, tested, and validated on a two-phase separator. The results show that interpretation conflict is usually hidden, mixed, or covered by traditional faults, and noises in observation and interpretation, including sensor faults, logic errors, cyberattacks, human mistakes, and misunderstandings, may easily trigger interpretation conflict. The proposed methodology will serve as a mechanism to develop strategies to manage interpretation conflict.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Ind Eng Chem Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Ind Eng Chem Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá