Bridging AI and Human Expertise for Sustainable Scholarly Communication: Enhancing Integrity and Efficiency

MODERATOR: Chirag “Jay” Patel Cactus Communications SPEAKERS: Renee Hoch PLOS Chhavi Chauhan American Society for Investigative Pathology Matt Giampoala American Geophysical Union REPORTER: Michele Springer Caudex Artificial intelligence (AI) seems to be taking over the scholarly publishing industry. Everyone is talking about it—the good, the bad, and the scary. This session explored the transformative potential of AI in scholarly publishing and examined how we, as humans, can work with AI to strengthen the integrity of academic publications and expedite knowledge dissemination. It shed light on the synergistic relationship between AI and human expertise and discussed ways to utilize AI to achieve the goal of long-term sustainability in scholarly publishing. Challenges and Opportunities of AI Chirag “Jay” Patel opened the session by discussing the challenges and opportunities associated with AI. Some of the main challenges include biases, data privacy, and lack of transparency in terms of AI use. On the contrary, generative AI has incredible potential to broaden audiences and increase reachability regarding accessibility with tools, such as live translations and text-to-word. Patel believes that although AI will change the way we work, it won’t take our jobs. For the best outcome, AI and human expertise need to be used together. There are many opportunities for AI in publishing. It is our responsibility to check out the different models, test them, and create prompts that will serve our needs. Speakers were asked how AI can help increase sustainability and efficiency in publishing workloads. Patel said to remember the acronym HITL, […]

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Publication Details

Journal
Science Editor
Published
2024-08-05
DOI
https://doi.org/10.36591/se-4703-13
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridging AI and Human Expertise for Sustainable Scholarly Communication: Enhancing Integrity and Efficiency

Michele Springer
Science Editor
Big Data and Business Intelligence
article

Bridging AI and Human Expertise for Sustainable Scholarly Communication: Enhancing Integrity and Efficiency

Michele Springer
article en

Abstract

MODERATOR: Chirag “Jay” Patel Cactus Communications SPEAKERS: Renee Hoch PLOS Chhavi Chauhan American Society for Investigative Pathology Matt Giampoala American Geophysical Union REPORTER: Michele Springer Caudex Artificial intelligence (AI) seems to be taking over the scholarly publishing industry. Everyone is talking about it—the good, the bad, and the scary. This session explored the transformative potential of AI in scholarly publishing and examined how we, as humans, can work with AI to strengthen the integrity of academic publications and expedite knowledge dissemination. It shed light on the synergistic relationship between AI and human expertise and discussed ways to utilize AI to achieve the goal of long-term sustainability in scholarly publishing. Challenges and Opportunities of AI Chirag “Jay” Patel opened the session by discussing the challenges and opportunities associated with AI. Some of the main challenges include biases, data privacy, and lack of transparency in terms of AI use. On the contrary, generative AI has incredible potential to broaden audiences and increase reachability regarding accessibility with tools, such as live translations and text-to-word. Patel believes that although AI will change the way we work, it won’t take our jobs. For the best outcome, AI and human expertise need to be used together. There are many opportunities for AI in publishing. It is our responsibility to check out the different models, test them, and create prompts that will serve our needs. Speakers were asked how AI can help increase sustainability and efficiency in publishing workloads. Patel said to remember the acronym HITL, […]

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