Generative Artificial Intelligence: Current Trends, Issues, and Challenges

Abstract

This article explores the landscape of generative artificial intelligence (GAI), aiming to elucidate the current discourse, trends, and challenges. Given the scarcity of literature, the study undertakes a literature search, conducting a thorough examination to compile relevant information. By shedding light on GAI’s current trends, issues, and challenges, this work underscores the requirement of comprehending the intricacies of GAI for its ethical and appropriate deployment across diverse sectors. This study reveals the urgency for further research, emphasizing the need for in-depth investigations to facilitate the development of the next generation of GAI models. More exploration is needed to ensure the responsible and ethical realization of GAI’s full potential in shaping societal landscapes. Moreover, explainability, security, intellectual property, data privacy, finance, and ethics are crucial issues associated with GAI.

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