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dc.contributor.authorMungai, N.
dc.contributor.authorMunene, M.
dc.date.accessioned2026-02-05T09:36:41Z
dc.date.available2026-02-05T09:36:41Z
dc.date.issued2025-12-03
dc.identifier.citationMungai, N., Munene, M., & Mwiti, B. (2025). Artificial intelligence in preserving and showcasing cultures in interior spaces in Kenya. Africa Design Review Journal, 2(1), 7-23.en_US
dc.identifier.urihttps://uonjournals.uonbi.ac.ke/ojs/index.php/adrj/article/view/3169
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/168036
dc.description.abstractBackground: In the era of digitisation, artificial intelligence has become a household name due to its transformative technological advancements across various fields globally. The intersection of AI and cultural preservation presents a significant opportunity to create, safeguard, and showcase culturally inclusive spaces. Problem: However, there is a research gap on how Artificial Intelligence can be harnessed to effectively do so whilst maintaining cultural authenticity and sensitivity. Machine learning algorithms demonstrate potential in recreating interior elements which reflect Kenya’s rich cultural heritage. Objective: This paper explored the role of AI in generating and showcasing culturally inclusive interior spaces in Kenya. Design: Using a mixed-methods approach, the study employed an exploratory approach to investigate the applications of Generative AI in interior design practices and its implications for cultural inclusivity. Setting: The study was carried out in Parklands, which is in Westlands Constituency. The ward was observed to host numerous Artificial Intelligence conferences, workshops and events, making it an ideal study area. Subjects: The sample size consisted of 60 individuals, ranging from interior designers, 3D artists, ICT professionals and youth groups. Results: The research results revealed that though there is a widespread awareness of Artificial Intelligence, there is a cautious adoption of the same due to concerns over algorithmic bias, cultural misrepresentation and ethical accountability. Cultures with a more widespread footprint (such as the Swahili culture) were more accurately depicted, while others face erasure in AI-generated outputs. Conclusion: The study proposes a scalable framework to localise GenAI tools through community engagement, localised datasets and ethical guidelines to ensure equitable cultural representation. Recommendations: Ultimately, this article calls for a hybrid design future, in which Kenyan interior designers lead at the forefront in the integration of GenAI tools in which they act as active mediators and cultural custodians rather than passive users. In this way, Kenyan cultures can be accurately depicted in a manner that is both precise and sensitive to the respective cultures.en_US
dc.language.isoen_USen_US
dc.publisherAfrica Design Review Journalen_US
dc.subjectartificial intelligence, cultureen_US
dc.subjectartificial intelligence, cultureen_US
dc.titleArtificial intelligence in preserving and showcasing cultures in interior spaces in Kenyaen_US
dc.typeArticleen_US


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