Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
By Yogesh Kumar Dwivedi, Nir Kshetri, Laurie Hughes, Emma L. Slade, Anand Jeyaraj, A. K. Kar, Abdullah Mohammed Baabdullah, A. Koohang, Vishnupriya Raghavan, Manju K. Ahuja and 63 more. International Journal of Information Management, 2023
2,599 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1f81287a967a88edbd6a76257c3a7a1153eb4c51
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Leonardo Banh
- Yogesh Kumar Dwivedi
- Nir Kshetri
- Gero Strobel
- Firuz Kamalov
- Gokul Yenduri
- Thomas H. Davenport
- Thippa Reddy Gadekallu
Citations in the corpus
- Generative artificial intelligence (2023, background): “The fast-changing and continuously evolving landscape of GAI calls for an extensive conceptualization of the properties and capabilities to fathom the phenomenon (Dwivedi et al., 2023; Strobel et al., 2024).”
- The promise and challenges of generative AI in education (2024, unknown): “With several guidance papers and reports from prestigious international organisations and publishers becoming available (e.g. Dwivedi et al. 2023; Kasneci et al. 2023; Miao and Holmes 2023) and an increasing number of empirical results surfacing (e.g. see recent GAIED workshop in NeurIPS: https://…”
- The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney (2023, unknown): “It can communicate with users and assist them with tasks such as composing music, analyzing and comparing data, writing essays, and coding a program (Dwivedi et al., 2023; Kasneci et al., 2023).”
- Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024, unknown): “However, it’s vital to note that this AI-enabled ‘ Creativity ’ is an extension of the model’s training on vast datasets and its capacity to recombine learned elements in innovative ways (Dwivedi et al. 2023).”
- Membership Inference Attacks against Generative Models with Probabilistic Fluctuation (unknown): “On the other side, unauthorized content may be secretly utilized to construct generative services [ Dwivedi et al. , 2023 ] .”
- GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions (2023, background): “GPTs can streamline inventory management procedures by eliminating the need for human data entry into spreadsheets, saving time and cutting overhead costs [116].”
- New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023, background): “[45] 2023 Discusses opportunities as well as ethical and legal challenges of Generative AI 30 Elkins et al.”
- Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda (2023, background): “Generative artificial intelligence (GAI) has been emerging as a major force to trigger a truly enterprise-wide adoption of AI (Dwivedi et al., 2023a; 2023b; Kshetri, 2023a).”