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

• Main Authors: Ooi K.-B., Tan G.W.-H., Al-Emran M., Al-Sharafi M.A., Capatina A., Chakraborty A., Dwivedi Y.K., Huang T.-L., Kar A.K., Lee V.-H., Loh X.-M., Micu A., Mikalef P., Mogaji E., Pandey N., Raman R., Rana N.P., Sarker P., Sharma A., Teng C.-I., Wamba S.F., Wong L.-W.
• Other Authors: 14619509700
• Format: Article
• Published: Taylor and Francis Ltd. 2024
• Subjects: Bard; ChatGPT; Generative artificial intelligence; large language model; machine learning; Human resource management; Industrial research; Music; Language model; Large language model; Learning neural networks; Machine-learning; Organizational levels; Smart phones; Text images; Machine learning
• Institution: Universiti Tenaga Nasional

In 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...