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

This paper introduces the XRAI-Ethics framework, which aims at defining a novel approach for analyzing and extract ethical risks and principles for XRAI.

Overview

Authors: Lorenzo Stacchio, Roberto Pierdicca, Marina Paolanti, Primo Zingaretti, Emanuele Frontoni, Benedetta Giovanola, Simona Tiribelli

Publication Date: 21 October 2024

Link: https://doi.org/10.1109/ISMAR-Adjunct64951.2024.00052

Keywords: Ethical Responsibility, XRAI Ethics, Responsible AI in XR, Privacy and Consent, Bias and Fairness, User Safety in XR, Transparency and Accountability, Regulatory Compliance, Ethical Design in XR, XR Governance Policies

Type: Peer-Reviewed Journals/White Papers

Summary

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.

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