Human-AI collaboration in chemical engineering

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dc.contributor.authorHassan, Junaid
dc.contributor.authorAbdinejad, Maryam
dc.contributor.authorAmérico-Pinheiro, Juliana Heloisa Pinê
dc.contributor.authorUl Hai, Irfan
dc.contributor.authorChupin, Alexander
dc.contributor.authorErten, Begüm
dc.date.accessioned2025-12-19T12:30:17Z
dc.date.available2025-12-19T12:30:17Z
dc.date.issued2025
dc.departmentMeslek Yüksekokulu, Gedik Meslek Yüksekokulu, İş Sağlığı ve Güvenliği Programı
dc.description.abstractThis chapter examines the revolutionary influence of artificial intelligence (AI) on chemical engineering, emphasizing the synergistic interplay between human knowledge and AI technology. It analyzes the progression of AI applications from basic rule-based systems to advanced machine learning models adept at managing intricate data sets and enhancing chemical processes. The chapter explores many AI approaches, including deep learning, natural language processing, and automated decision-making, in relation to essential activities such as process design, response optimization, and safety evaluations. The chapter also emphasizes the creation of transparent AI-assisted frameworks that enable the smooth incorporation of AI technologies into conventional chemical engineering processes. AI has been incorporated into operations by 35% of companies. AI is being used in one form or another by 25% of small businesses. 42% of firms are thinking about integrating AI into their operations in the future. More than half of big industries with more than 5,000 workers use AI. This chapter illustrates the effectiveness of fine-tuned big language models in chemical text mining, highlighting their capacity to extract pertinent information from extensive chemical literature, thus considerably reducing the time and effort needed for research endeavors. The chapter also discusses human aspects in AI interfaces, highlighting the significance of user experience in promoting productive cooperation. Examining parameters associated with cognitive load and situational awareness encourages constructing AI systems that enhance human skills. This chapter clarifies the prospective role of human-AI collaboration in fostering innovation and sustainability in chemical engineering.
dc.identifier.doi10.1016/B978-0-443-34076-5.00026-2
dc.identifier.endpage626
dc.identifier.isbn9780443340765
dc.identifier.isbn9780443340772
dc.identifier.scopus2-s2.0-105023948685
dc.identifier.scopusqualityN/A
dc.identifier.startpage593
dc.identifier.uri10.1016/B978-0-443-34076-5.00026-2
dc.identifier.urihttps://hdl.handle.net/11501/2559
dc.indekslendigikaynakScopus
dc.institutionauthorErten, Begüm
dc.institutionauthorid0000-0002-7148-6402
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofArtificial Intelligence in Chemical Engineering
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Intelligence
dc.subjectBehavioral Psychology
dc.subjectChemical Engineering
dc.subjectCognitive Process
dc.subjectComputational Intelligence
dc.subjectData Science
dc.subjectDecision Support System
dc.subjectGeomatics
dc.subjectHuman-Centered Computing
dc.subjectIndustrial Applications
dc.subjectMachine Learning
dc.subjectNetwork
dc.titleHuman-AI collaboration in chemical engineering
dc.typeBook Chapter

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