What can artificial intelligence do for us in scholarly communications? What is it already doing?
These are some of the questions Hong Zhou, our resident AI expert and director of AI R&D for Atypon, tackled in his talk at the London Book Fair this spring.
→ Catch LBF’s interview with Hong here!
AI is a broad, deep, and complex topic, which you’ll be hearing more about in upcoming posts from Hong. But if you read nothing else about AI today, here are the three things Hong thinks you need to know!
- Remember the ABC of digital transformation in scholarly publishing. What do we mean by that? Simply that AI generates value from Big Data, and delivers it—to you, your readers, your authors, and the research community in general—via the Cloud.
- Recognize the goal of AI in scholarly communications: not to replace research and publishing professionals like you, but to facilitate the complex and critical work you do.
- Understand how AI tools can benefit both publishers and researchers: through automation, which can lower costs and reduce processing times, and via data-driven decision making, which can yield greater accuracy and better results.
Current uses of AI in scholarly communications are varied and growing, facilitating the work of publishing at every stage—from authoring, through submission and review, to publishing, dissemination, and discovery. But what’s really exciting, says Hong, is the future of AI in our industry: its potential to transform publishers from content providers to knowledge providers.
Stay tuned for future posts on this topic! There’s lots more to come.