Extended Reality (XR) integrates real and virtual environments through spatial computing technologies, playing a crucial role in the development of the Metaverse. The synergy of XR with Artificial Intelligence (AI), referred to as Extended Artificial Intelligence (XRAI), enhances immersive experiences and operational efficiencies across various domains and human activities. However, ethical considerations for XRAI remain underexplored, particularly considering fairness, privacy, bias, and responsibility. This paper introduces the XRAI-Ethics framework, which aims at defining a novel approach for analyzing and extract ethical risks and principles for XRAI. The XRAI-Ethics framework seeks to promote responsible development and implementation of XRAI technologies, offering guidelines for both public and private sectors to ensure ethical practices in emerging XR applications.

XRAI-Ethics: Towards a Robust Ethical Analysis Framework for Extended Artificial Intelligence

Stacchio, Lorenzo;Pierdicca, Roberto;Paolanti, Marina;Zingaretti, Primo;Frontoni, Emanuele;Giovanola, Benedetta;Tiribelli, Simona
2024-01-01

Abstract

Extended Reality (XR) integrates real and virtual environments through spatial computing technologies, playing a crucial role in the development of the Metaverse. The synergy of XR with Artificial Intelligence (AI), referred to as Extended Artificial Intelligence (XRAI), enhances immersive experiences and operational efficiencies across various domains and human activities. However, ethical considerations for XRAI remain underexplored, particularly considering fairness, privacy, bias, and responsibility. This paper introduces the XRAI-Ethics framework, which aims at defining a novel approach for analyzing and extract ethical risks and principles for XRAI. The XRAI-Ethics framework seeks to promote responsible development and implementation of XRAI technologies, offering guidelines for both public and private sectors to ensure ethical practices in emerging XR applications.
2024
979-8-3315-0691-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11393/350594
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