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

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.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00052
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Emanuele Frontoni, Lorenzo Stacchio, Simona Tiribelli, Benedetta Giovanola et al.
2 citations
Ethics and Social Impacts of AI
1.05
article

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

Emanuele Frontoni, Lorenzo Stacchio, Simona Tiribelli, Benedetta Giovanola, Primo Zingaretti, Roberto Pierdicca, Marina Paolanti
article en
2 citations

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.

Marche Polytechnic University (IT), University of Macerata (IT)
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

XRAI-Ethics: Towards a Robust Ethical Analysis Framework for Extended Artificial Intelligence — Emanuele Frontoni, Lorenzo Stacchio, et al. · (2024) | TGRS Research Map | TGRS