Edgard, the Chatbot: Questioning Ethics in the Usage of Artificial Intelligence Through Interaction Design and Electronic Literature

Fogliano, Fernando; Fabbrini, Fernando; Souza, André Gomes de; Fidélio, Guilherme; Machado, Juliana Pereira; Sarra, Rachel

doi:10.1007/978-3-030-22219-2_25

Cited by 3 publications

(1 citation statement)

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“…It is a constructed, artificial, or machine intelligence, distinguished from natural intelligence by its very definition [5]. AI technologies are as important as those that provoked socially, politically, and environmentally in previous centuries [6]. Some of the construction industry's AI technologies include Building Information Modelling (BIM), sensor-based technologies, robotics, and wearable technologies [7].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of Influencing Factors and Strategies of Artificial Intelligence Adoption in the Construction Industry

Tjebane

Musonda

Okoro

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The construction industry has seen an increase in Artificial Intelligence(AI) in recent years, a paradigm shift in many industries. It puts under pressure for technological advancement. Therefore, AI is under great attention in the construction industry as a new strategic paver. This paper adopts a systematic literature review (SLR) approach and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to observe and understand the influencing factors and strategies for AI adoption. The SLR for AI-related research carried out between 2010 and 2020. Data was collected from ASCE Journals, Emerald Insight, Elsevier ScienceDirect, Engineering Village, Google Scholar, ICE virtual library, IOPscience, IEEE Xplore, ScienceDirect, Scopus, SpringerLink and Taylor & Francis. The paper identifies and classifies the new developments in AI research, making its implementation and adoption a reality in the construction industry. This review has the potential for construction industry stakeholders, especially those in developing countries, to utilise the accumulated evidence from selected systematic reviews to enable the usage of AI for infrastructure development

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Section: Introductionmentioning

confidence: 99%