Paper Number
1232
Paper Type
panel
Description
This panel explores the emerging impact of Artificial Intelligence (AI) on academic journals and editorial processes. Scholarly publishing is on the cusp of transformation, as generative and other AI technologies challenge established norms and procedures. Advancements could either revolutionize or gradually evolve the intricate ecosystems of academic journals, responsible for validating and disseminating knowledge. How might this happen? Panelists will consider how AI could reshape editorial boards, redefine reviewer roles, and influence the academic value chain. The panel will address concerns about AI-driven review processes, biases, training data, and the integration of Human-in-the-loop AI. The panel will also examine the role of academic journals as drivers of research and innovation, with AI's potential to alter communication, quality assessment, and the building blocks of archival knowledge. Highly experienced editors will share insights, concerns and predictions, engage with audience perspectives, and illuminate the challenges and opportunities that AI brings to scholarly pursuits.
Recommended Citation
Schwartz, David G.; Avital, Michel; Jarvenpaa, Sirkka L.; Lyytinen, Kalle; Shmueli, Galit; and Te’Eni, Dov, "The Future Impact of AI on Academic Journals and the Editorial Process" (2023). ICIS 2023 Proceedings. 2.
https://aisel.aisnet.org/icis2023/panels/panels/2
The Future Impact of AI on Academic Journals and the Editorial Process
This panel explores the emerging impact of Artificial Intelligence (AI) on academic journals and editorial processes. Scholarly publishing is on the cusp of transformation, as generative and other AI technologies challenge established norms and procedures. Advancements could either revolutionize or gradually evolve the intricate ecosystems of academic journals, responsible for validating and disseminating knowledge. How might this happen? Panelists will consider how AI could reshape editorial boards, redefine reviewer roles, and influence the academic value chain. The panel will address concerns about AI-driven review processes, biases, training data, and the integration of Human-in-the-loop AI. The panel will also examine the role of academic journals as drivers of research and innovation, with AI's potential to alter communication, quality assessment, and the building blocks of archival knowledge. Highly experienced editors will share insights, concerns and predictions, engage with audience perspectives, and illuminate the challenges and opportunities that AI brings to scholarly pursuits.
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Comments
24-Panels