"Ethics, Governance, and Bias Mitigation in AI-Enabled loT Applications: A Focus on Transparency and Fairness

Abstract

In the development of smart cities, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies promises to address urban challenges yet raises significant security and ethical concerns. This study emphasizes the need for robust governance frameworks to ensure the ethical deployment of these technologies, focusing on the roles of data privacy, security, and bias mitigation. It highlights the importance of Explainable AI (XAI) techniques, like LIME and SHAP, for enhancing transparency and accountability in AI decision-making processes. Through a detailed examination of existing governance frameworks and the introduction of a bias detection tool, this work aims to embed ethical considerations into the fabric of AI-driven systems in smart cities. The discussion extends to exploring common domains and AI implementations across different industries, offering insights into comprehending and ensuring the responsible use of AI and IoT technology. This lays the groundwork for future research in this developing area.