Đề thi VSTEP Listening C1 — Reforming Peer Review in the Age of AI (mẫu 2)

Welcome, everyone, to today's panel on reforming peer review. I'm Dr. Chen from the Institute of Scientific Publishing, and joining me are Professor Alvarez, an editor at a leading sociology journal, and Dr. Okonkwo, who studies research integrity. Let's begin with the elephant in the room: artificial intelligence. Dr. Okonkwo, your team recently published findings on how large language models are being used in manuscript screening. Could you summarize the implications? Thank you. Our analysis of 300 journals revealed that nearly 40% have adopted AI-assisted triage systems. The benefits are clear: faster turnaround, reduced reviewer burden, and consistency in initial assessments. However, we found concerning disparities. Journals in high-income countries are three times more likely to deploy sophisticated AI tools, creating a new axis of inequity in global scholarship. Professor Alvarez, what's your editorial perspective? Honestly, I'm skeptical. Last year, we received a manuscript where the AI-generated review completely missed the theoretical framework's contribution. Peer review at its best is mentorship disguised as evaluation. Algorithms can detect methodology flaws, but they cannot recognize paradigm-shifting work that challenges established conventions.