Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

Author First name, Last name, Institution

inseiw@gmail.com, Al-kfairy, Mousa (Zayed University; College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates;, inseiw@gmail.com, M.I.
omar.alfandi@zu.ac.ae, ;, omar.alfandi@zu.ac.ae, O.A.

Document Type

Article

Source of Publication

Informatics

Publication Date

8-9-2024

Abstract

This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities. The ability of generative AI to produce convincing deepfakes and synthetic media, which threaten the foundations of truth, trust, and democratic values, exacerbates these problems. The paper combines perspectives from various disciplines, including education, media, and healthcare, underscoring the need for AI systems that promote equity and do not perpetuate social inequalities. It advocates for a proactive approach to the ethical development of AI, emphasizing the necessity of establishing policies, guidelines, and frameworks that prioritize human rights, fairness, and transparency. The paper calls for a multidisciplinary dialogue among policymakers, technologists, and researchers to ensure responsible AI development that conforms to societal values and ethical standards. It stresses the urgency of addressing these ethical concerns and advocates for the development of generative AI in a socially beneficial and ethically sound manner, contributing significantly to the discourse on managing AI’s ethical implications in the modern digital era. The study highlights the theoretical and practical implications of these challenges and suggests a number of future research directions.

DOI Link

10.3390/informatics11030058

ISSN

2227-9709

Publisher

MDPI AG

Volume

11

Issue

3

First Page

58

Last Page

58

Disciplines

Computer Sciences

Keywords

Generative AI, Ethical challenges, Deepfakes, Societal inequalities, Privacy

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Al-kfairy, Mousa (Zayed University; College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates;, inseiw@gmail.com, inseiw@gmail.com, and ;, omar.alfandi@zu.ac.ae, omar.alfandi@zu.ac.ae,, "Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective" (2024). All Works. 6842.
https://zuscholars.zu.ac.ae/works/6842

Indexed in Scopus

no

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series