[…] Review”, which addresses the intersection of digital disruptions and trust in peer review. The ongoing discourse on the integration of artificial intelligence (AI) in academic publishing has generated diverse opinions, with individuals expressing both support and opposition to its adoption. The […]
[…] the University of Illinois at Urbana-Champaign with an MS in Library and Information Science and an MA in History. Generative artificial intelligence offerings such as ChatGPT are being retooled and developed so rapidly that anyone who attempts to write about them […]
[…] White House’s Office of Science and Technology Policy. Director Prabhakar was participating to talk about the US Executive Order on Artificial Intelligence. She did spend some time talking about the provisions (as we did here on The Scholarly Kitchen!). What I […]
Last month, the second NISO Plus Forum in Washington DC focused on the topic of Artificial Intelligence (AI), and Andrew Pace provided one of three provocations for the audience. His talk focused on “second questions”, when faced with the impacts of […]
[…] explore how new technology and new ideas can advance our industry. My talk focused on a practical approach to leveraging Artificial Intelligence (AI), Big Data, and Cloud computing — what I like to call the digital ABCs — throughout the scholarly […]
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
What uses for artificial intelligence (AI) might we expect outside of the publication workflow? Some answers to this question can be found through the lenses of sustainability, justice, and resilience.
Do I really have to read all of that essay or monograph? Can’t artificial intelligence do the heavy lifting for me?
Today’s guest post spotlights a new scientific intelligence engine inspired by Thomas Kuhn’s theory of scientific revolution and the mission to give humanity the ability to see its own progress while it unfolds.
[…] exists is not sustainable; we need to change the fundamental incentive structure that undermines academic publishing. In the era of artificial intelligence, we must ask ourselves if peer review could itself go the way of the dinosaurs. For example, in many […]
[…] note: Today’s post is by Jonathan Woahn, Co-founder of Cashmere.io, which helps publishers safely and responsibly monetize their content with artificial intelligence. Reviewer credit to Chef Tim Vines. In Part One, The Missed Expectation, we argued that AI training will not […]
[…] Guest Post — Classification as Colonization: The Hidden Politics of Library Catalogs Copyright’s Big Win in the First Decided US Artificial Intelligence Case Guest Post — Beyond Classification: The Human Cost of Library and Information Labor Under Digital Capitalism Mental Health […]
In a guest post here last fall (“Exploring the ‘Hopes and Fears’ About Generative Artificial Intelligence in Web Scale Discovery”), I extended an invitation to Scholarly Kitchen readers to participate in a NISO Open Discovery Initiative (ODI) survey about the positive […]
[…] “concern.” Some respondents reported feeling both. They also expressed both excitement and concern about the use of openly-licensed scholarship by artificial intelligence companies. 40% expressed concern about the lack of available recourse in the event of misuse or misrepresentation of their […]
[…] the White House at LoC was a pre-publication report issued last week by the Copyright Office on the topic of Artificial Intelligence. This draft is the third part of a Report on Copyright and Artificial Intelligence examining how AI replicates digital […]