Data Security and Ethical Considerations in Embedded AI Systems
Sumit Kumar Banshal · 2025
By collecting and analysing real-time data, embedded artificial intelligence (AI) systems are changing industries. This chapter discusses critically important data security and ethics in these systems. The book discusses data breaches and unauthorized data retrieval to emphasize the need for effective security measures. Privacy issues and bias in AI systems are also highlighted, underlining the need of ethics in technology growth. Security and ethics should be included holistically into early embedded AI system development, according to the chapter. Engineers, ethicists, and lawyers must work together to handle the complex interplay between technology, ethics, and regulation. To explain embedded AI system challenges and opportunities, the paper examines real-life instances, regulatory structures, and future trends. The chapter concludes that proactive tactics can balance technical progress with ethical responsibility.