z-logo
open-access-imgOpen Access
Ethical Foundations of AI-Driven Avatars in the Metaverse for Innovation and User Privacy
Author(s) -
Ammar Almomani,
Ahmad Alaasqerem,
Mohammad Alauthman,
Amjad Aldweesh,
Samer Aoudi,
Said A. Salloum
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3589714
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The rapid proliferation of AI-powered avatars in the Metaverse is fundamentally transforming user interactions through unprecedented levels of realism and personalization. However, these advances also introduce critical ethical and legal dilemmas surrounding privacy, identity theft, algorithmic bias, and data governance. This study employs a comprehensive multi-methodological approach combining systematic literature review, regulatory gap analysis, and ethical framework synthesis. Our methodology integrates qualitative analysis of 57 primary sources, comparative assessment of international legal frameworks (GDPR, CCPA, EU AI Act), and development of a five-pillar ethical framework validated through real-world case studies across educational, commercial, and healthcare Metaverse applications. Building on these insights, we propose an ethical framework emphasizing transparency, fairness, accountability, privacy by design, and user autonomy. We then examine practical solutions such as blockchain-based identity management, privacy tools, regulatory sandboxes, and global standards harmonization. Through real-world case studies, we demonstrate how stakeholders can apply these guidelines to balance innovation with user protection. Finally, we explore future directions, including integrating brainâĂŞcomputer interfaces (BCIs), emotion detection, quantum-resistant cryptography, and international governance models. Validation through case study analysis demonstrates 78% improvement in privacy protection metrics, 65% reduction in identity theft vulnerabilities, and 85% enhancement in user autonomy controls compared to existing frameworks. Our proposed blockchain-based identity management shows 92% effectiveness in preventing deepfake avatar creation while maintaining 94% user experience satisfaction. By proactively embracing ethical and legal safeguards, we envision a Metaverse where AI-driven avatars deliver transformative experiences while upholding individual rights and societal well-being.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom