More than half of researchers now use AI for peer review — often against guidance
Key Takeaways
- •The widespread, often unsanctioned, use of AI in peer review critically impacts academic integrity, forcing an urgent re-evaluation of research validation processes within the education sector.
- •This trend highlights a broader tension between rapid AI adoption and the slow pace of establishing ethical governance in scholarly pursuits.
- •Educators and publishers must proactively define clear policies for acceptable AI-human collaboration to preserve the credibility and trustworthiness of scholarly output.
Skip to main content Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Email Bluesky Facebook LinkedIn Reddit Whatsapp X Access through your institution Buy or subscribe More than 50% of researchers have used
Our Take
The widespread, often unsanctioned, use of AI in peer review critically impacts academic integrity, forcing an urgent re-evaluation of research validation processes within the education sector. This trend highlights a broader tension between rapid AI adoption and the slow pace of establishing ethical governance in scholarly pursuits. Educators and publishers must proactively define clear policies for acceptable AI-human collaboration to preserve the credibility and trustworthiness of scholarly output.
Tools Mentioned
Analysis & Perspectives
Strategic Planning for AI Professional Development: Equipping Educators to Integrate AI as a Pedagogical Partner, Not Just a Tool
This article outlines a strategic framework for professional development, empowering educators to effectively integrate AI into their teaching practices. It moves beyond viewing AI as a mere tool, instead focusing on equipping educators to leverage AI as a sophisticated pedagogical partner. The aim is to enhance learning experiences and foster innovative instructional design.
Redefining Assessment and Feedback Strategies in the Age of Generative AI: From Plagiarism Detection to Promoting Critical AI Literacy
This article explores how the advent of generative AI necessitates a fundamental re-evaluation of assessment and feedback strategies in education. It advocates for a shift from solely focusing on plagiarism detection towards cultivating critical AI literacy among students. The piece outlines innovative approaches to integrate AI responsibly, ensuring academic integrity while equipping learners with essential skills for an AI-driven world.
People Also Ask
How is AI being used for news generation in education media?▾
Can AI help students create their own news reports?▾
What ethical considerations apply when AI writes news?▾
How should schools teach AI news literacy?▾
Related Articles
Your Child’s Data: The Ominous AI Threat Schools Are Ignoring
It’s a digital age, and our kids are growing up with technology woven into the very fabric of their education. From interactive whiteboards to personalized learning apps, AI is rapidly becoming an invisible force in K-12 classrooms. In fact, over 50% of students and teachers are already using AI tools in some capacity. That sounds cutting-edge, doesn’t it? Progress, efficiency, tailored education – all the buzzwords we love to hear. But here’s the unsettling truth: this lightning-fast...
Opaque by Design: Big Bans, Buttery AI Black Boxes And Blind Spots
Part Three of three on children, social media and the ban. The first piece asked how we arrived here. The second asked what we should… Opaque by Design: Big Bans, Buttery AI Black Boxes And Blind Spots was published on FE News by Neil Wolstenholme, Kloodle Chairman
Making AI chatbots friendly leads to mistakes and support of conspiracy theories
Skip to main content Skip to navigation Skip to navigation Warm chatbots are 30% less accurate and 40% more likely to support false beliefs, the study found. Photograph: Thai Liang Lim/Getty Images View image in fullscreen Warm chatbots are 30% less accurate and 40% more likely to support false beliefs, the study found. Photograph: Thai Liang Lim/Getty Images Friendly AI chatbots more likely to support conspiracy theories, study finds Chatbots programmed to respond warmly even cast doubts on Apollo moon