AI and Computer Vision Applications for Enhancing Safety, Security, and Efficiency in Public Spaces and Infrastructure

Abstract

Artificial Intelligence (AI) and automation are rapidly transforming the nature of work across industries, leading to significant changes in workforce dynamics and skill requirements. This research paper explores the impact of AI-driven automation on employment, job roles, and skill demands in various sectors, including manufacturing, healthcare, finance, and retail. We review the current state of AI and automation technologies, their adoption trends, and their potential implications for the future of work. We also discuss the challenges and opportunities associated with AI-driven automation, such as job displacement, skill gaps, and the need for reskilling and upskilling. Finally, we propose a framework for the responsible and inclusive deployment of AI and automation in the workplace, emphasizing the need for proactive policies, stakeholder collaboration, and continuous learning and adaptation. We conclude by outlining future research directions and the potential long-term impacts of AI-driven automation on the workforce and society as a whole.