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More researchers “warming to AI’s potential in peer review”

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Hands of robot and human touching on assessment icon, global network connection, data analysis, performance metrics, and artificial intelligence technology.

new global reviewer survey from IOP Publishing (IOPP) reveals a growing divide in attitudes among reviewers in the physical sciences regarding the use of generative AI in peer review. The study follows a similar survey conducted last year showing that while some researchers are beginning to embrace AI tools, others remain concerned about the potential negative impact, particularly when AI is used to assess their own work.

Currently, IOPP does not allow the use of AI in peer review as generative models cannot meet the ethical, legal, and scholarly standards required. However, there is growing recognition of AI’s potential to support, rather than replace, the peer review process.

Key findings:

  • 41% of respondents now believe generative AI will have a positive impact on peer review (up 12% from 2024), while 37% see it as negative (up 2%). Only 22% are neutral or unsure – down from 36% last year – indicating growing polarisation in views.
  • 32% of researchers have already used AI tools to support them with their reviews.
  • 57% would be unhappy if a reviewer used generative AI to write a peer review report on a manuscript they had co-authored and 42% would be unhappy if AI were used to augment a peer review report.
  • 42% believe they could accurately detect an AI-written peer review report on a manuscript they had co-authored.

Women tend to feel less positive about the potential of AI compared with men, suggesting a gendered difference in the usefulness of AI in peer review. Meanwhile, more junior researchers appear more optimistic about the benefits of AI, compared to their more senior colleagues who express greater scepticism.

When it comes to reviewer behaviour and expectations, 32% of respondents reported using AI tools to support them during the peer review process in some form. More than half (53%) of those using AI said they apply it in more than one way. The most common use (21%) was for editing grammar and improving the flow of text and 13% said they use AI tools to summarise or digest articles under review, raising serious concerns around confidentiality and data privacy. A small minority (2%) admitted to uploading entire manuscripts into AI chatbots asking it to generate a review on their behalf.

Interestingly, 42% of researchers believe they could accurately detect an AI-written peer review report on a manuscript they had co-authored.

“These findings highlight the need for clearer community standards and transparency around the use of generative AI in scholarly publishing. As the technology continues to evolve, so too must the frameworks that support ethical and trustworthy peer review”, said Laura Feetham-Walker, Reviewer Engagement Manager at IOP Publishing and lead author of the study.

“One potential solution is to develop AI tools that are integrated directly into peer review systems, offering support to reviewers and editors without compromising security or research integrity. These tools should be designed to support, rather than replace, human judgment. If implemented effectively, such tools would not only address ethical concerns but also mitigate risks around confidentiality and data privacy; particularly the issue of reviewers uploading manuscripts to third-party generative AI platforms,” added Feetham-Walker.

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‘AI Learning Day’ spotlights smart campus and ecosystem co-creation

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When artificial intelligence (AI) can help you retrieve literature, support your research, and even act as a “super assistant”, university education is undergoing a profound transformation.

On 9 September, XJTLU’s Centre for Knowledge and Information (CKI) hosted its third AI Learning Day, themed “AI-Empowered, Ecosystem-Co-created”. The event showcased the latest milestones of the University’s “Education + AI” strategy and offered in-depth discussions on the role of AI in higher education.

In her opening remarks, Professor Qiuling Chao, Vice President of XJTLU, said: “AI offers us an opportunity to rethink education, helping us create a learning environment that is fairer, more efficient and more personalised. I hope today’s event will inspire everyone to explore how AI technologies can be applied in your own practice.”

Professor Qiuling Chao

In his keynote speech, Professor Youmin Xi, Executive President of XJTLU, elaborated on the University’s vision for future universities. He stressed that future universities would evolve into human-AI symbiotic ecosystems, where learning would be centred on project-based co-creation and human-AI collaboration. The role of educators, he noted, would shift from transmitters of knowledge to mentors for both learning and life.

Professor Youmin Xi

At the event, Professor Xi’s digital twin, created by the XJTLU Virtual Engineering Centre in collaboration with the team led by Qilei Sun from the Academy of Artificial Intelligence, delivered Teachers’ Day greetings to all staff.

 

(Teachers’ Day message from President Xi’s digital twin)

 

“Education + AI” in diverse scenarios

This event also highlighted four case studies from different areas of the University. Dr Ling Xia from the Global Cultures and Languages Hub suggested that in the AI era, curricula should undergo de-skilling (assigning repetitive tasks to AI), re-skilling, and up-skilling, thereby enabling students to focus on in-depth learning in critical thinking and research methodologies.

Dr Xiangyun Lu from International Business School Suzhou (IBSS) demonstrated how AI teaching assistants and the University’s Junmou AI platform can offer students a customised and highly interactive learning experience, particularly for those facing challenges such as information overload and language barriers.

Dr Juan Li from the School of Science shared the concept of the “AI amplifier” for research. She explained that the “double amplifier” effect works in two stages: AI first amplifies students’ efficiency by automating tasks like literature searches and coding. These empowered students then become the second amplifier, freeing mentors from routine work so they can focus on high-level strategy. This human-AI partnership allows a small research team to achieve the output of a much larger one.

Jing Wang, Deputy Director of the XJTLU Learning Mall, showed how AI agents are already being used to support scheduling, meeting bookings, news updates and other administrative and learning tasks. She also announced that from this semester, all students would have access to the XIPU AI Agent platform.

Students and teachers are having a discussion at one of the booths

AI education system co-created by staff and students

The event’s AI interactive zone also drew significant attention from students and staff. From the Junmou AI platform to the E

-Support chatbot, and from AI-assisted creative design to 3D printing, 10 exhibition booths demonstrated the integration of AI across campus life.

These innovative applications sparked lively discussions and thoughtful reflections among participants. In an interview, Thomas Durham from IBSS noted that, although he had rarely used AI before, the event was highly inspiring and motivated him to explore its use in both professional and personal life. He also shared his perspective on AI’s role in learning, stating: “My expectation for the future of AI in education is that it should help students think critically. My worry is that AI’s convenience and efficiency might make students’ understanding too superficial, since AI does much of the hard work for them. Hopefully, critical thinking will still be preserved.”

Year One student Zifei Xu was particularly inspired by the interdisciplinary collaboration on display at the event, remarking that it offered her a glimpse of a more holistic and future-focused education.

Dr Xin Bi, XJTLU’s Chief Officer of Data and Director of the CKI, noted that, supported by robust digital infrastructure such as the Junmou AI platform, more than 26,000 students and 2,400 staff are already using the University’s AI platforms. XJTLU’s digital transformation is advancing from informatisation and digitisation towards intelligentisation, with AI expected to empower teaching, research and administration, and to help staff and students leap from knowledge to wisdom.

Dr Xin Bi

“Looking ahead, we will continue to advance the deep integration of AI in education, research, administration and services, building a data-driven intelligent operations centre and fostering a sustainable AI learning ecosystem,” said Dr Xin Bi.

 

By Qinru Liu

Edited by Patricia Pieterse

Translated by Xiangyin Han



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Philippine businesses slow to adopt AI, study finds – People Matters Global

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Philippine businesses slow to adopt AI, study finds  People Matters Global



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Examining Tim Draper’s AI digital twin program – NBC Bay Area

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Remember a hologram of Tupac Shakur that made headlines back at Coachella in 2012?

It was a digital creation made to sing along on stage.

Now imagine a similar hologram, but one that can use artificial intelligence to bring us all the experience and knowledge in someone’s life — in this case, a well-known Silicon Valley venture capitalist.

“It’s going to change the way we think about the world, and we’ll evolve with it,” venture capitalist Tim Draper said.

A digital twin has been created of Draper. The so-called twin is a hologram using AI to scan everything about Draper.

The twin can answer questions in multiple locations at once and Draper’s twins are currently installed at Kennedy Airport in New York and at a Midwestern University.

Still, the twins have some learning to do as they still get the occasional question wrong.

The box holding one of the twins is reportedly about $100,000 each.

Draper is so known and regarded in tech circles that he has his own university, where the Silicon Valley venture capitalist now mentors young entrepreneurs.

One of the many things Draper has invested in deeply is AI after making a splash with some other big name investments like Tesla and Robinhood.

“You’re seeing the excitement period of an industry being created,” Draper said. “We’re in that period of elation. Where wow, it’s blowing my mind.”

Draper is now offering some very simple advice to young techies to make sure they have the right skills to stay employed in the shifting Silicon Valley landscape.



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