Current Landscape of Generative AI: Models, Applications, Regulations and Challenges

Generative AI models have witnessed remarkable advancements, blurring the lines between human creativity and machine generation. This paper concisely reviews the current Generative AI landscape, exploring its diverse applications across various domains. We delve into the capabilities of these models, from creating images and music to generating creative text formats. Furthermore, the paper examines the real-world applications of Generative AI, highlighting its potential to revolutionize industries like design, marketing, education, and scientific discovery. However, while existing research extensively explores specific aspects of Generative AI, an analysis of the technology’s landscape, encompassing its capabilities, applications in content creation, and regulatory considerations, remains limited. This paper strives to bridge this gap by delivering a more holistic landscape of GenAI. Our analysis of the GenAI landscape pinpointed user behavior research and responsible development practices as key to user-centric AI creation. Through this study, we aim to stimulate discussion and collaboration between researchers, developers, and policymakers to ensure this powerful technology is harnessed responsibly for the benefit of industry and society.