Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 397 - 424
Опубликована: Март 28, 2025
Digital twins, dynamic virtual replicas of physical entities, are transforming industries by enabling real-time monitoring, predictive insights, and optimization. While their adoption in fields such as healthcare, manufacturing, urban planning promises unparalleled advancements, it also raises critical ethical, privacy, security concerns. This chapter examines the multifaceted challenges associated with digital twin technology, focusing on societal, legal, technical implications use. Privacy risks emerge from extensive collection processing sensitive data, unauthorized access potentially leading to breaches, discrimination, or misuse. Ethical issues include algorithmic bias, inequitable decision-making, accountability gaps, particularly sectors like healthcare governance. Security vulnerabilities, cyberattacks interconnected systems, highlight need for robust measures safeguard data infrastructure.
Язык: Английский