Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Ethical Considerations for AI-Driven Adaptive Virtual Environments in XR Training for First Responders: An Industry Perspective
2
Zitationen
5
Autoren
2023
Jahr
Abstract
Artificial Intelligence has the potential to revolutionize the field of extended reality training for first responders. AI-driven adaptive virtual environments can enhance the effectiveness of training programs by automatically adapting to the needs and performance of individual learners. However, the use of AI in XR training raises important ethical concerns that must be addressed to ensure the safety, privacy and well-being of trainees. In this manuscript, we explore current European legal and ethical frameworks applicable to AI, XR and physiological data usage, and discuss their relevance and application challenges within the XR training sector. We draw on insights from the Horizon 2020 research projects Shotpros and MED1stMR to demonstrate the complexity of this topic with some tangible examples and discuss potential mitigating factors to minimize risks and ensure trainee's overall well-being.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.