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Design of Artificial Intelligence-Based Products: Barriers and Enablers
Indian Institute of Technology, India.ORCID iD: 0000-0002-1424-751X
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-6920-9983
2023 (English)In: Design in the Era of Industry 4.0, Volume 3: Proceedings of ICoRD 2023 / [ed] Amaresh Chakrabarti, Vishal Singh, Springer, 2023, Vol. 346, p. 647-658Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) embodied products are becoming ubiquitous in the modern world. Organizations are hence updating themselves to design and develop such products. In this paper, we aim at identifying enablers and barriers in designing such products across several sectors. Our analysis of a broad range of literature in this field allowed us to identify these enablers and barriers. We have developed SOTCUT and SEECUT models representing these enablers and barriers. We have discussed implication of the findings for the practice of designing AI-embodied products.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 346, p. 647-658
Series
Smart Innovation, Systems and Technologies (SIST), ISSN 2190-3018, E-ISSN 2190-3026
Keywords [en]
Artificial intelligence (AI), Design practice, Barriers, Enablers
National Category
Computer Sciences Design
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:bth-25201DOI: 10.1007/978-981-99-0428-0_53Scopus ID: 2-s2.0-85205372119ISBN: 9789819904273 (print)OAI: oai:DiVA.org:bth-25201DiVA, id: diva2:1784656
Conference
9th International Conference on Research into Design, ICoRD 2023, Bangalore, Jan 9-11, 2023
Part of project
HINTS - Human-Centered Intelligent RealitiesAvailable from: 2023-07-28 Created: 2023-07-28 Last updated: 2025-02-24Bibliographically approved

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Goswami, Prashant

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