Ethical, Privacy, and Security Implications of Digital Twins DOI
S. Ida Evangeline

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

Formalizing-modelling-utilizing ontology: A semantic framework for adaptive stakeholder-specific urban digital twins in urban planning processes DOI Creative Commons
Shervin Azadi, Dena Kasraian, Pirouz Nourian

и другие.

Environment and Planning B Urban Analytics and City Science, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Urban Digital Twins (UDTs) have emerged as integrated collections of urban data and models aspiring to enhance planning decision-making processes. However, current UDTs often fail connect siloed disciplines, represent diverse stakeholder views, or adapt the dynamic nature Realizing potentials is hindered by these socio-technical challenges, we developed validated FMU Ontology address them. provides a set semantic representations that (1) promote interoperability integration across disciplinary models, (2) enable developing using network stakeholder-specific facilitate engagement consensus-building, (3) embed within processes allow stakeholders’ questions priorities evolve. Furthermore, validate efficacy through consistency competency tests. Lastly, in case study on strategic densification Eindhoven, Netherlands, demonstrate how enables adaptive collaborative use UDTs, addressing key challenges decision-making.

Язык: Английский

Процитировано

0
Ethical, Privacy, and Security Implications of Digital Twins DOI
S. Ida Evangeline

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

Процитировано

0