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

In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. 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.

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• 1 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.
• 2 More specifically, generative AI utilizes machine learning, neural networks, and other techniques to generate new content (e.g.
• 3 text, images, music) by analyzing patterns and information from the training data.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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