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Case Studies | Computer Science | United States of America | Volume 13 Issue 9, September 2024 | Rating: 7.2 / 10
The Future of AI Governance: Navigating the Challenges of Generative AI
Vyoma Gajjar
Abstract: As artificial intelligence AI technologies continue to advance, the need for effective governance, the need for effective governance frameworks has become increasingly pressing. The rise of generative AIs capable of producing synthetic data, images, and text has raised significant concerns regarding intellectual property, accountability, and the potential for misuse. This article explores the key challenges associated with generative AIs and proposes a comprehensive approach to AI governance, incorporating regulatory reforms, technological innovations, and public awareness initiatives. This article addresses the pressing need for robust AI governance frameworks in response to the growing influence of generative AI technologies. It highlights the legal, ethical, and regulatory challenges, particularly around intellectual property and accountability. The article advocates for reforms in regulation, technological innovations, and public awareness initiatives, proposing solutions such as AI driven tools for disinformation detection and the AI Risk Atlas for identifying risks. The purpose of this article is to explore the challenges posed by generative AI technologies and propose a comprehensive governance framework to address these challenges. This study is significant because it provides a timely analysis of the governance needs for generative AI, which is crucial for ensuring that AI benefits are realized without compromising ethical and legal standards.
Keywords: Generative AI, AI governance, intellectual property, liability, disinformation, AI
Edition: Volume 13 Issue 9, September 2024,
Pages: 1686 - 1687