What does this research mean for the field?

Generative AI drives significant industry transformation through automation and innovation, but simultaneously poses critical ethical, legal, and societal challenges. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to analyze both the benefits and challenges presented by generative AI in various industries.

June 6, 2026Open Access

Generative AI: Opportunities and Challenges

Key Points

The aim is to analyze both the benefits and challenges presented by generative AI in various industries.
Explored applications of generative AI in content creation across different sectors.
Examined ethical considerations, including bias and intellectual property issues.
Identified significant opportunities for innovation and personalization through generative AI.
Raised concerns over ethical risks and biases associated with AI-generated content.

Abstract

Generative Artificial Intelligence (AI) is transforming industries by creating new content such as text, images, music, and code. Powered by deep learning and large-scale models, it enables automation, innovation, and personalized experiences. However, it also raises challenges related to ethics, misuse, bias, and intellectual property rights. This paper explores the opportunities and risks associated with Generative AI and its future role in society.

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G.S. Science, Arts And Commerce College

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