In this episode
Generative Artificial Intelligence is a branch of artificial intelligence that uses deep learning algorithms, trained on large datasets, to generate content such as text, images, videos, and music. ChatGPT is just one example of generative AI that can generate human-like responses to text prompts and can be used in a variety of applications such as chatbots, language translation, and content creation. As these technologies continue to evolve, they have the potential to revolutionise the way we interact with machines and each other. However, it's important to be aware of the potential ethical implications and to ensure that these technologies are used for the benefit of all.
In this episode, Professor Yogesh Dwivedi and Dr Laurie Hughes discuss the potential benefits, challenges and risks associated with using generative AI platforms such as ChatGPT in education and the implications that the adoption of generative AI may have for individuals, organisations and institutions in wider society. Yogesh's research explores information systems and marketing focusing on issues related to consumer adoption and emerging digital innovations. Laurie focuses on the impact of generative artificial intelligence including ChatGPT.
Yogesh K. Dwivedi is a Professor of Digital Marketing and Innovation and Founding Director of the Digital Futures for Sustainable Business & Society Research Group at the School of Management. In addition, he holds a Distinguished Research Professorship at the Symbiosis Institute of Business Management (SIBM), Pune, India. Professor Dwivedi is also currently leading the International Journal of Information Management as its Editor-in-Chief.
His research interests are at the interface of Information Systems (IS) and Marketing, focusing on issues related to consumer adoption and diffusion of emerging digital innovations, digital government, and digital and social media marketing particularly in the context of emerging markets.
Dr Laurie Hughes is formely a Senior Lecturer within the School of Management. He completed his PhD in Information Systems at Swansea University and also holds an M.Sc. in Computer Science and a BEng in Computer Systems Engineering. He has taught a range of technology focused topics at undergraduate and postgraduate levels up to MBA including Artificial Intelligence (AI) Principles and Concepts, AI Case Studies, Project Management and Business Analytics.
Dr Hughes’s research interests are varied but predominantly encompass a technological or industrial transformation theme which includes Artificial Intelligence, Industry 4.0, IS project failure, Supply Chain Management and Digital Marketing. He has also developed expertise on interpretive methods such as Information Security Management (ISM) and Analytical Hierarchy Process (AHP) through his research.
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