# XRAI-Ethics: Towards a Robust Ethical Analysis Framework for Extended Artificial Intelligence ## Overview **Authors:** Lorenzo Stacchio, Roberto Pierdicca, Marina Paolanti, Primo Zingaretti, Emanuele Frontoni, Benedetta Giovanola, Simona Tiribelli **Publication Date:** 21 October 2024 **Link:** **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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://library.xrguild.org/ethical-responsibility/xrai-ethics-towards-a-robust-ethical-analysis-framework-for-extended-artificial-intelligence.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.