In the past several years, hype has increased around the use of artificial intelligence (AI) in the scholarly publishing industry. The discussions have varied, as has the support. The Scholarly Kitchen brought this interesting news to our attention in their article, “Guest Post: Introducing SSP’s AI in Scholarly Publishing Community of Interest (CoIN).”

Many educational and information sessions have addressed the concerns and benefits of AI in scholarly publishing, including topics like the potential impacts of law and AI on copyright and related issues, the impact of generative AI in scholarly publishing, and potential opportunities, accessibility concerns, and ethical concerns regarding trust and transparency.

The Society for Scholarly Publishing (SSP) realizes that it is impossible for any one individual or organization to stay on top of all the developments in the scholarly publishing industry relating to the use of AI. SSP is providing a safe, open, and welcoming home for all its members to indulge in an objective discussion. While they do, they can also stay informed about the latest AI-influenced developments, emerging guidelines and regulations, cutting-edge tools and offerings, emerging job descriptions, and general publishing trends.

The AI in Scholarly Publishing Community of Interest (CoIN) is currently facilitated by long-term SSP members, Chirag Jay Patel and Dr. Chhavi Chauhan. They encourage active participation from every SSP member to help bridge the knowledge gap and connect individuals with innovative ideas to those with specific needs. Sign up using the CoIN Application.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.