Discover five key lessons for publishers navigating AI-driven discovery, licensing and monetization, and learn how to prepare for the future of scholarly publishing.
Why AI detection alone isn't enough for research integrity. Discover how publishers can build a multi-signal trust architecture that scales.
AI can speed up reading, checking, and summarising—and automate parts of publishing. But peer review runs on trust. That needs people, policy, and accountability.
AI isn't replacing scholarly publishing professionals; it's transforming the skills, roles, and workflows that define the industry.
Hong Zhou posits that the future of knowledge publishing will not be determined by AI alone. It will be shaped by the choices we make now.
In this conversation, Adrian Stanley speaks with Victoria Pittman and José Fossi about their recent AI summary pilot.
Hong Zhou explores how learning platforms are shifting from delivering content to driving measurable outcomes—powered by AI, trust, and real-world application.
Hong Zhou and Adrian Stanley posit that much like keyword search became a basic requirement in an earlier era, natural-language Q&A and AI-assisted navigation are becoming expected.
Integrity is no longer a downstream activity. It is becoming an upstream expectation that requires coordinated people, workflows, and technology working in concert.
