The future of ethical AI in large language models: Trends, challenges, and opportunities

Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui, Konstantinos Psannis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

As artificial intelligence (AI) continues to evolve, its ethical implications become increasingly critical. This chapter explores the future of ethical AI, highlighting emerging trends, anticipating future challenges, and proposing a roadmap for building an ethical AI ecosystem. It delves into the importance of ethics in AI, examining trends like explainable AI, fairness, and privacy preservation. The chapter identifies potential ethical dilemmas and risks associated with emerging AI technologies, offering strategies for mitigation. It emphasizes the roles of stakeholders in fostering an ethical AI environment and provides examples of successful implementations. Finally, it envisions a responsible AI future, advocating for transparency, fairness, and inclusivity in AI development, supported by robust policy and governance frameworks.

Original languageEnglish
Title of host publicationChallenges in Large Language Model Development and AI Ethics
Pages410-435
Number of pages26
ISBN (Electronic)9798369338612
DOIs
Publication statusPublished - 15 Aug 2024

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