The Scholarly Kitchen

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Archives: Artificial Intelligence

Guest Post: Exploring the “Hopes and Fears” About Generative Artificial Intelligence in Web Scale Discovery

A new survey seeks to better understand the risks and benefits of GenAI in the discovery ecosystem.

  • By Ken Varnum
  • Oct 17, 2024
  • 0 Comments
  • Time To Read: 4 mins

Tracking the Licensing of Scholarly Content to LLMs

We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs

  • By Roger C. Schonfeld
  • Oct 15, 2024
  • 9 Comments
  • Time To Read: 3 mins

Guest Post — Overcoming Skepticism Through Experimentation: The Role of AI in Transforming Peer Review

AI offers great potential, but also raises significant concerns when it comes to its use in peer review. Experimentation with AI is needed to find the right role for it in the process.

  • By Krishna Kumar Venkitachalam
  • Oct 9, 2024
  • 2 Comments
  • Time To Read: 4 mins

Guest Post: Time to Rethink Usage Analytics

Users (human and machine) are accessing scholarly content in new ways, challenging traditional usage analytics models. In this guest post, Tim Lloyd outlines the challenges ahead in quantifying usage.

  • By Tim Lloyd
  • Oct 2, 2024
  • 9 Comments
  • Time To Read: 7 mins

Innovation and Technology in Peer Review: Some User Perspectives

In today’s Peer Review Week post we hear perspectives on innovation and technology in peer review from a diverse group of users from different countries and disciplines.

  • By Alice Meadows, Leo Anthony Celi, Kaushik Madapati, Grace Pold, Nora Slonimsky, Ivone Cabral, Joshua Piker, Sophie Reisz, Heidi Koch-Bubel, Michael Roy, Michael Willis
  • Sep 26, 2024
  • 0 Comments
  • Time To Read: 9 mins

Guest Post — From Bottleneck to Breakthrough: AI’s Role in the Future of Peer Review

Peer review needs reform. AI systems can act as assistants, providing valuable feedback for both reviewers and editors.

  • By Zeger Karssen
  • Sep 25, 2024
  • 0 Comments
  • Time To Read: 4 mins

Guest Post — Is AI the Answer to Peer Review Problems, or the Problem Itself?

Are there ways to use AI in the research workflow to speed up the peer review process — and, while we’re at it, to address some of the other problems around bias and quality?

  • By Christopher Leonard
  • Sep 24, 2024
  • 5 Comments
  • Time To Read: 7 mins

Peer Review Week 2024: Ask the Chefs

Leading into Peer Review Week 2024, we ask the Chefs: What is, or would be, the most valuable innovation in peer review for your community?

  • By Alice Meadows, Avi Staiman, Hong Zhou, Karin Wulf, Tim Vines, Lisa Janicke Hinchliffe, Haseeb Irfanullah
  • Sep 20, 2024
  • 3 Comments
  • Time To Read: 10 mins

Sex and the Serious Reader

No, we’re not advocating anything lascivious. But a reading experience requires a degree of engagement that one essayist overlooks.

  • By Jill O'Neill
  • Sep 19, 2024
  • 9 Comments
  • Time To Read: 4 mins

Strengths, Weaknesses, Opportunities, and Threats: A Comprehensive SWOT Analysis of AI and Human Expertise in Peer Review

AI-generated content has been discovered in prominent journals. Should peer reviewers be expected to find AI text in manuscripts? Where in the publication workflow should these checks be done?

  • By Roohi Ghosh
  • Sep 12, 2024
  • 7 Comments
  • Time To Read: 3 mins

Ensuring attribution is critical when licensing content to AI developers

Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.

  • By Todd A Carpenter
  • Sep 4, 2024
  • 6 Comments
  • Time To Read: 7 mins

AI-Enabled Transformation of Information Objects Into Learning Objects

A look at how AI tools support transforming information access into information comprehension.

  • By Lisa Janicke Hinchliffe
  • Jul 30, 2024
  • 2 Comments
  • Time To Read: 6 mins

Forget about AI, Here Comes PowerPoint

Did you know that PowerPoint is the only computing application you need to do, well, anything?

  • By David Crotty
  • Jul 26, 2024
  • 2 Comments
  • Time To Read: < 1 min

A Look Under the Hood of Scopus AI: An Interview with Maxim Khan

To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.

  • By Todd A Carpenter
  • Jul 25, 2024
  • 3 Comments
  • Time To Read: 6 mins

Woefully Insufficient Publisher Policies on Author AI Use Put Research Integrity at Risk

Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?

  • By Avi Staiman
  • Jul 22, 2024
  • 7 Comments
  • Time To Read: 7 mins

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The Chefs

  • Rick Anderson
  • Todd A Carpenter
  • Angela Cochran
  • Lettie Y. Conrad
  • David Crotty
  • Ashutosh Ghildiyal
  • Roohi Ghosh
  • Robert Harington
  • Haseeb Irfanullah
  • Lisa Janicke Hinchliffe
  • Phill Jones
  • Roy Kaufman
  • Scholarly Kitchen
  • Stephanie Lovegrove Hansen
  • Alice Meadows
  • Alison Mudditt
  • Charlie Rapple
  • Dianndra Roberts
  • Maryam Sayab
  • Roger C. Schonfeld
  • Avi Staiman
  • Randy Townsend
  • Tim Vines
  • Hong Zhou

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Society for Scholarly Publishing (SSP)

The mission of the Society for Scholarly Publishing (SSP) is to advance scholarly publishing and communication, and the professional development of its members through education, collaboration, and networking. SSP established The Scholarly Kitchen blog in February 2008 to keep SSP members and interested parties aware of new developments in publishing.

The Scholarly Kitchen is a moderated and independent blog. Opinions on The Scholarly Kitchen are those of the authors. They are not necessarily those held by the Society for Scholarly Publishing nor by their respective employers.

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