Investigating Ethical Considerations and Challenges for Real-Time Computer Vision Machine Learning Applications in Urban Environments
Methsala Thilini Perera
Department of Psychology, University of Kelaniya, Kelaniya 11600, Sri Lanka
Abstract
The rapid advancements in computer vision and machine learning technologies have paved the way for the development and deployment of real-time applications in urban environments. These applications, such as intelligent surveillance systems, autonomous vehicles, and smart city infrastructures, have the potential to revolutionize urban life by enhancing safety, efficiency, and convenience. However, the deployment of real-time computer vision machine learning applications in urban settings also raises significant ethical considerations and challenges that must be carefully examined and addressed. This research paper investigates the key ethical issues surrounding real-time computer vision applications in urban environments, including privacy, bias and fairness, transparency and accountability, and the societal impact of these technologies. It explores the potential risks and unintended consequences of these applications, such as the erosion of privacy, the perpetuation of biases, and the exacerbation of social inequalities. The paper also discusses the challenges associated with ensuring ethical and responsible deployment of real-time computer vision systems, including the need for robust governance frameworks, stakeholder engagement, and public trust. By critically examining these ethical considerations and challenges, this paper aims to contribute to the development of ethical guidelines and best practices for the responsible deployment of real-time computer vision machine learning applications in urban environments.
