Authors:
Jessica Ohnesorg
;
Nazek Fakhoury
;
Noura Eltahawi
and
Mouzhi Ge
Affiliation:
Deggendorf Institute of Technology, Max-Breiherr-Street 32, Pfarrkirchen, Germany
Keyword(s):
Trust, Individual Preferences, Communication, Transparency, Artificial Intelligence, Human Machine Interactions, Smart Cities.
Abstract:
Since it is challenging to tailor trust management systems to accommodate diverse individual preferences due to the evolving adoption of artificial intelligence (AI) in smart cities, through a comprehensive review of internal and external factors influencing trust levels, including personal values, personality traits, and cultural background, the paper highlights the crucial role of communications in human-machine interactions by emphasizing AI technologies. Based on the review, this paper proposes a Framework for AI Trust enHancement (FAITH). The FAITH framework integrates personalized communication strategies with individual preferences to enhance trust in smart city systems. To validate the proposed framework, the FAITH framework is applied in a use case scenario to demonstrate its potential effectiveness in fostering trust, collaboration, and innovation. The research results contribute not only to understand trust management systems in smart cities, but also offer practical insig
hts for addressing the diverse preferences of individuals in smart cities.
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