This paper (18 page PDF) is a balanced and conservative look at how AI impacts open access publishing. A lot of the paper is exposition; if you're familiar with the field you really only need to read the introduction and perhaps the nondescript call to action at the end. But the paper works well with an audience not familiar with the nuances of open access publishing and the potential offered by AI. "AI technologies promise to streamline workflows, potentially reducing the costs associated with manuscript preparation, peer review, and publication. Generative AI tools can assist in drafting papers, performing literature reviews, managing peer review, and generating data-driven insights," writes Leo Lo. "However, the economic implications extend beyond mere cost savings. Generative AI also opens up new avenues for value creation and monetization in publishing. AI-driven analytics, personalized content recommendations, and advanced search capabilities could become premium services, potentially creating a new tiered system of access to knowledge. This raises questions about the future of truly 'open' access in an AI-enhanced publishing landscape."
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