AI Research
A Hidden Threat to Research Integrity?
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Artificial intelligence (AI) is now infiltrating laboratories and scientific publications, raising crucial questions about research integrity. A recent study reveals that over 13% of biomedical articles bear the marks of ChatGPT and similar tools.
In Brief
- An analysis of 15 million biomedical articles reveals that 13.5% of 2024 publications show signs of AI use.
- Researchers identified 454 “suspicious” words frequently used by AI tools, such as “delve,” “showcasing,” and “underscore.”
- Current detection tools remain unreliable, sometimes mistaking historical texts for AI-generated content.
- Experts are divided: some see it as a threat, others as a democratization of research.
AI Leaves Its Marks in Science
Researchers from Northwestern University, in collaboration with the Hertie Institute for Applied AI in Health, analyzed over 15 million scientific abstracts published on PubMed. Their finding is unequivocal: in 2024, generative AI, notably ChatGPT, has deeply marked the language of biomedical research.
To demonstrate this, the team compared the frequency of certain keywords in 2024 with those of 2021 and 2022. And the difference is striking: terms previously less common like “delves”, “underscores”, or “showcasing” have exploded in usage, to the point of becoming typical stylistic markers of AI-generated texts.
This “word hunt” nonetheless reveals a more nuanced reality. Stuart Geiger, a professor at the University of California, San Diego, tempers the alarm:
Language changes over time. “Delve” has skyrocketed, and this word is now in the vocabulary of society, partly because of ChatGPT.
Linguistic evolution thus poses a major dilemma. How to distinguish fraudulent use of AI from mere cultural influence? More worryingly: might researchers change their natural writing style for fear of being wrongly accused?
Between Democratization and Ethical Drift
Kathleen Perley, a professor at Rice University, takes a more nuanced position on the use of AI in scientific research.
According to her, these tools can play a decisive role in democratizing access to academic research, especially for non-English-speaking researchers or those suffering from learning disabilities.
In an academic environment dominated by English and formal requirements, AI can provide a real springboard for brilliant profiles, but marginalized by the language barrier.
This approach raises a fundamental question: should researchers who use tools to overcome structural obstacles really be penalized? Couldn’t AI, on the contrary, help bring to light quality work that has until now been invisible due to writing limitations rather than conceptual ones?
Derivatives, Biases, and False Positives, Science Facing the Limits of AI
But enthusiasm runs into very real drifts. The example of the Grok chatbot, developed by the company of Elon Musk, is a chilling illustration.
Since its last update, the tool has produced a series of antisemitic messages posted on X (formerly Twitter), going so far as to justify hateful remarks and praise Hitler. Such incidents remind us that even the most advanced models can convey dangerous biases if they are not properly supervised.
At the same time, AI detection tools struggle to prove reliable. ZeroGPT, for example, estimated that the United States Declaration of Independence was generated 97% by an AI, while GPTZero evaluates it at only 10%. This inconsistency reveals the immaturity of detection technologies and the risk of unfounded accusations.
Beyond technical tools, the emergence of AI in scientific research questions the very essence of intellect. Rigor, originality, and integrity are the pillars of scientific production. Can we preserve these values when the boundary between assistance and substitution becomes blurred?
More than ever, academic institutions must define clear guidelines. It is not about slowing innovation, but about drawing a line between ethical use and intellectual fraud. The future of research depends on our collective ability to integrate artificial intelligence without losing the soul of science.
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Mississippi’s AI Ambitions Take Shape With NVIDIA Partnership
Mississippi is carving a new path in its artificial intelligence landscape by partnering with technology company NVIDIA to expand AI education, research and workforce development across the state.
Similar to other NVIDIA partnerships in California, Utah and Oregon, the agreement — formalized through a memorandum of understanding — brings hands-on AI training to Mississippi’s classrooms, colleges and workforce programs statewide. Mississippi residents will now have access to the company’s cloud-based tools and platforms, expanding their available resources and learning capabilities. Educators certified through NVIDIA’s Deep Learning Institute will provide training, offered through state colleges, universities and community-based sites.
The teaming, announced June 18, connects NVIDIA, the Mississippi Artificial Intelligence Network (MAIN), the Mississippi Development Authority, AccelerateMS and the Mississippi governor’s office.
In a statement, Gov. Tate Reeves said working with NVIDIA is a major step forward for Mississippi’s future and emphasized the collaboration’s potential to reshape the state’s economy.
“By expanding AI education, investing in workforce development and encouraging innovation, we, along with NVIDIA, are creating a pathway to dynamic careers in AI and cybersecurity for Mississippians,” Reeves said. “These are the in-demand jobs of the future — jobs that will change the landscape of our economy for generations to come.”
That future-focused vision resonated with NVIDIA, which had already established ties in Mississippi through earlier work with Mississippi State University. Once company officials learned about the coordinated AI work happening across the state, MAIN Director Kollin Napier said, they saw a chance to play a larger role.
“The opportunity to partner with NVIDIA served to amplify our mission,” Napier said. “Mississippi stood out because of the strong foundation built through MAIN, which had already reached thousands of learners through free, accessible AI training programs and established a model of coordination across education, workforce and industry.”
The partnership aims to strengthen classroom instruction, but it goes beyond traditional education. The state plans to roll out certifications, hands-on workshops and job-aligned curricula to help learners gain practical skills in AI, machine learning and data science. This includes training opportunities not only at four-year universities, but at technical colleges and workforce hubs.
A major priority of the initiative is expanding access to these opportunities. The trainings are designed to reach rural communities and underserved populations, teaching students and educators to build career pathways for those traditionally excluded from high-tech industries.
At the same time, the state will be a testing ground for AI-powered innovation. Joint research projects between MAIN and other industry partners will explore real-world AI applications across key sectors including agriculture, health care, energy and national security.
In order for these innovations to have a tangible economic impact, Mississippi is also working with NVIDIA to help local businesses adopt AI tools, introducing machine learning and data technologies into their operations to boost productivity and competitiveness, according to Napier.
“Over the next year, these efforts will scale into precision agriculture training at community colleges and live demonstrations for producers statewide,” he said, citing an example in the farming sector: AI, he said, is helping optimize yields, monitor soil and water conditions, and detect crop disease earlier — benefits that could significantly improve outcomes in Mississippi’s rural areas.
For NVIDIA, these kinds of real-world applications underscore why Mississippi stood out as a strong partner. The state’s commitment to blending education, workforce development and industry engagement directly supported the company’s broader goals.
“Together, we will enhance economic growth through an AI-skilled workforce, advanced research and industry engagement, positioning Mississippi as a hub for AI-driven transformation to the benefit of its communities,” Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, said.
That plan aligns with Mississippi’s broader strategy to not only prepare talent but to attract high-tech investment.
“The state is building a workforce that is skilled, certified and ready to support innovation, which positions Mississippi as a serious contender for attracting tech companies and AI-driven industries,” Napier said. “This initiative is not just about preparing people for jobs; it is about bringing the jobs to Mississippi.”
The state, he said, is not merely focused on building skills — but also on building trust. Napier said leaders are weaving ethics, cybersecurity and privacy into every part of their AI ecosystem. MAIN’s programs teach not only the technical side of AI, but how to design systems responsibly, reduce bias and understand the broader impacts of emerging technologies.
To track how things are going, the state is keeping an eye on workforce milestones like certifications earned, job placements and participation in training. But real success will be measured not just by those numbers, Napier said, but by the doors that open for people as a result.
With partnerships across government, education and industry, he said he hopes Mississippi will become a model for how other states can approach AI, not just with bold goals but with purpose, coordination and real impact.
Through MAIN, and by working with NVIDIA, Napier said, the state is “modeling how to bring AI opportunities to every corner of a population, including rural and underserved communities,” and demonstrating “what it looks like to lead with purpose, align across sectors, and build an AI ecosystem that is ethical, inclusive and built for long-term impact.”
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