On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges

Abstract

Generative artificial intelligence (GenAI) is one of the most promising recent advances in digital technology. However, research often focuses on specific application scenarios, case studies and experiments. Overarching and comprehensive studies that consider potentials and challenges for the entire field of GenAI across domains are rather scarce. In this paper, the four domains of text, audio, image and code generation are examined by means of a systematic literature review. Opportunities for industry and society are discussed, with the aim of providing a conceptual model that enables a quick assessment of the current state-of-the-art and identifies applications for GenAI that are either not yet sufficiently researched and therefore invite further exploratory investigations, or are well researched and therefore represent recognized yet less experimental fields.