Enhancing Autonomous System Security With AI and Secure Computation Technologies
Tushar Singh, Sudhakar Kumar, Sarjana Singh, Priyanshu priyanshu, Brij B. Gupta, Jinsong Wu, Arcangelo Castiglione
Abstract
Exploring the intersection of transparency and security in autonomous systems, this chapter examines the dynamic landscape of industrial robots and intelligent drones. Advanced technologies such as machine learning, AI, robotics, and deep learning shape this intricate domain. As autonomous systems gain prominence across sectors, a focus lies on understanding decision-making frameworks. Methodologies for achieving algorithmic transparency and strengthening security protocols are outlined, emphasizing the fusion of technological innovation with ethical considerations. Real-world case studies offer practical insights and best practices. Ethical responsibilities in AI and robotics integration are emphasized, alongside a forward-looking view on emerging trends and technologies, providing a tailored roadmap for researchers, practitioners, and enthusiasts navigating the evolving realm of autonomous systems. This chapter provides a thorough analysis of transparency and security challenges and opportunities in autonomous systems, benefiting policymakers and industry stakeholders.