Slow Food, Slow Publishing: The Beauty of Not Being First
Robert Harington reflects on our addiction to speed and advocates for slow scholarly publishing and the inherent beauty of not always being first.
Robert Harington reflects on our addiction to speed and advocates for slow scholarly publishing and the inherent beauty of not always being first.
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
A German court ruled against a mandatory article deposit requirement under Germany’s “secondary publication right” (SPR). Whatever the intentions, SPR is mainly going to contribute to the degradation of the record of science.
With CC Signals, Creative Commons wants to help authors put rules on use of their licensed content for AI training. The problem is, one of the licenses already permits free and unlimited reuse of that content, for any and all purposes. And the licenses are irrevocable.
Wendy Queen interviews Nadim Sadek. Nadim is a creative strategist and founder of Shimmr AI, who argues that AI can strengthen human creativity rather than replace it.
In this post, Robert attempts to embrace a gloomy optimism as he muses on the state of publishing at scholarly societies.
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
Todd Carpenter looks back on the past quarter century of a digital revolution in scholarly publishing.
Creative Commons licenses continue to confuse the communications community. Here we collect a decade-plus of articles looking to offer some clarity on their use.
Creative Commons (CC) licenses expand, not restrict, the permissible uses of copyrighted works.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
An AAAS survey reveals authors’ concerns and confusion regarding open licensing of their work.