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Generative AI in higher education and beyond

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  • Hashmi, Nada
  • Bal, Anjali S.

Abstract

Generative artificial intelligence (GenAI) is a method of machine learning that uses algorithms to create new content such as images, text, and video. In the last year, the popularity of GenAI has exploded. Websites like ChatGPT and DALL-E have become ubiquitous in everything from logo and NFT creation to social media content and artistic verse construction. While the popularity of GenAI is undeniable, the adoption of these technological tools has been splintered in higher education. This conceptual study examines the relationship between transparency and responsibility in the usage of GenAI. We go further, examining the relationship between training and application of skills within higher education. Finally, we propose a framework for how higher education can engage with GenAI to better prepare students to use it outside of school.

Suggested Citation

  • Hashmi, Nada & Bal, Anjali S., 2024. "Generative AI in higher education and beyond," Business Horizons, Elsevier, vol. 67(5), pages 607-614.
    • Handle: RePEc:eee:bushor:v:67:y:2024:i:5:p:607-614
    DOI: 10.1016/j.bushor.2024.05.005
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    References listed on IDEAS

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    Cited by:

    1. Ramaul, Laavanya & Ritala, Paavo & Ruokonen, Mika, 2024. "Creational and conversational AI affordances: How the new breed of chatbots is revolutionizing knowledge industries," Business Horizons, Elsevier, vol. 67(5), pages 615-627.
    2. Brewer, Jordan & Patel, Dhru & Kim, Dennie & Murray, Alex, 2024. "Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain," Business Horizons, Elsevier, vol. 67(5), pages 525-535.
    3. Abdelhalim, Esraa & Anazodo, Kemi Salawu & Gali, Nazha & Robson, Karen, 2024. "A framework of diversity, equity, and inclusion safeguards for chatbots," Business Horizons, Elsevier, vol. 67(5), pages 487-498.
    4. Retkowsky, Jana & Hafermalz, Ella & Huysman, Marleen, 2024. "Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects," Business Horizons, Elsevier, vol. 67(5), pages 511-523.
    5. Berthon, Pierre & Yalcin, Taylan & Pehlivan, Ekin & Rabinovich, Tamara, 2024. "Trajectories of AI technologies: Insights for managers," Business Horizons, Elsevier, vol. 67(5), pages 461-470.
    6. Hannigan, Timothy R. & McCarthy, Ian P. & Spicer, André, 2024. "Beware of botshit: How to manage the epistemic risks of generative chatbots," Business Horizons, Elsevier, vol. 67(5), pages 471-486.
    7. Cui, Yuanyuan (Gina) & van Esch, Patrick & Phelan, Steven, 2024. "How to build a competitive advantage for your brand using generative AI," Business Horizons, Elsevier, vol. 67(5), pages 583-594.

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