Book chapter
Building Trustworthy and Culturally Intelligent AI
AI for Community, pp 85-117
2025
Abstract
Reza Moradinezhad investigates the multifaceted nature of trust in artificial intelligence (AI) systems, arguing that trust is both a cultural and operational imperative. Drawing from research in human-computer interaction and AI design, this chapter emphasizes that AI must not only be competent and reliable but also culturally aware to foster meaningful trust with users. The author, informed by his academic background and professional experiences, presents a framework for understanding trust as a blend of cognitive, affective, and behavioral components.
Trust in AI systems hinges on the system's perceived competence, its alignment with user goals, and its ethical conduct-particularly in culturally sensitive contexts. By paralleling the trust placed in cultural custodians, such as elders in traditional societies, with that expected from AI systems, this chapter proposes that AI should play a complementary role in preserving and transmitting cultural heritage. The development of trust-adaptive agents, AI systems that dynamically recalibrate based on user feedback and performance, emerges as a key strategy in making AI more trustworthy.
This chapter concludes by discussing the evolving trust dynamics in AI, emphasizing that building culturally intelligent and ethically grounded AI systems is essential for their broad acceptance and integration into global communities.
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Details
- Title
- Building Trustworthy and Culturally Intelligent AI
- Creators
- Reza Moradinezhad
- Publication Details
- AI for Community, pp 85-117
- Publisher
- CRC Press
- Edition
- 1
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Other Identifier
- 991022049952404721