Affiliation:
1. Faculty of Islamic Technology, University Islam Sultan Sharif Ali, Brunei
2. School of Computer Science, Taylor's University, Malaysia
Abstract
AI systems are integral to the development of smart cities, but their complexity can make decision-making processes opaque, leading to concerns about accountability and transparency. Explainable AI (XAI) aims to address this by designing algorithms that can explain decisions in a way that humans can understand. XAI can increase transparency and accountability in smart cities, promote trust between residents and officials, and enhance the adoption and acceptance of smart city technologies. However, there are still challenges to overcome, and continued research is necessary to fully realize the potential benefits of XAI.
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