Explainable Artificial Intelligence in Generative Design for Construction

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Abstract

As artificial intelligence rapidly advance, their growing complexity enables more sophisticated applications across sectors, including construction. However, the opaque nature of algorithms, such as generative AI, reduces human interpretability and trust. While providing benefits like enhanced efficiency, generative design’s black-box processes hamper adoption. Explainable AI can elucidate how AI algorithms generate outputs, thereby improving understanding and confidence. Despite explainable AI’s potential, construction has given it limited focus. This research systematically reviews the application of explainable AI in generative design in construction, with an aim to allay risks and enable wider utilization of these emerging technologies for improved engineering design.
Original languageEnglish
Title of host publicationProceedings of the 2024 European Conference on Computing in Construction
EditorsMarijana Srećković, Mohamad Kassem, Ranjith Soman, Athanasios Chassiakos
Place of PublicationNewcastle
PublisherEuropean Council on Computing in Construction (EC3)
Number of pages8
ISBN (Electronic)9789083451305
DOIs
Publication statusPublished - 14 Jul 2024
Event2024 European Conference on Computing in Construction - Platanias at the Minoa Palace Resort, Chania, Greece
Duration: 14 Jul 202417 Jul 2024
https://ec-3.org/conference2024/

Conference

Conference2024 European Conference on Computing in Construction
Abbreviated titleEC3 2024
Country/TerritoryGreece
CityChania
Period14/07/2417/07/24
Internet address

Keywords

  • explainable artificial intelligence
  • generative design
  • trustworthiness
  • construction
  • Artificial Intelligence

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