The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

TLDR

Generative artificial intelligence has rapidly attracted interest for its potential to transform society similarly to the Internet, using machine learning and neural networks to produce text, images, and music, and offering wide applications while raising significant concerns. This article assembles experts from diverse fields to outline the opportunities, challenges, and research agendas of generative AI across industries such as marketing, healthcare, education, and manufacturing. The authors convene multidisciplinary specialists to expound on these topics, providing cross‑industry insights into generative AI’s impact. Keywords include generative AI, machine learning, large language model, ChatGPT, Bard, and the authors report no conflict of interest.

Abstract

ABSTRACTIn a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread shifts in many aspects of life that are comparable to those of the Internet and smartphones. More specifically, generative AI utilizes machine learning, neural networks, and other techniques to generate new content (e.g. text, images, music) by analyzing patterns and information from the training data. This has enabled generative AI to have a wide range of applications, from creating personalized content to improving business operations. Despite its many benefits, there are also significant concerns about the negative implications of generative AI. In view of this, the current article brings together experts in a variety of fields to expound and provide multi-disciplinary insights on the opportunities, challenges, and research agendas of generative AI in specific industries (i.e. marketing, healthcare, human resource, education, banking, retailing, the workplace, manufacturing, and sustainable IT management).KEYWORDS: Generative artificial intelligencemachine learninglarge language modelChatGPTBard Disclosure statementNo potential conflict of interest was reported by the author(s).