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AI chatbots could spread ‘fake news’ with serious health consequences

News RoomBy News RoomJune 30, 2025Updated:July 1, 20253 Mins Read
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The issue of how artificial intelligence (AI) assists in providing incorrect or misleading medical advice is a topic of growing concern, as highlighted by the World First Study published in Annals of Internal Medicine. This study, conducted by researchers from leading institutions including the University of South Australia, Flinders University, Harvard Medical School, University College London, and Warsaw University of Technology, aimed to evaluate the vulnerabilities of the five foundational and most advanced AI systems developed by open-source platforms like OpenAI, Google, Anthropic, Meta, and XCorp. The researchers sought to determine whether these systems could be programmed to yield disinformation by manipulating their responses to medical queries.

The researchers implemented a rigorous methodology, allowing the AI systems to be instructed only at the level of programming, ensuring that the systems retain knowledge and terminology typical of AI-based platforms. Over 1,000 medical questions were posed to the AI systems, with the goal of assessing their ability to fabricate false or misleading information. The results were striking, with 88% of responses identified as false, while 40% of the fifth AI system produced disinformation, demonstrating a high degree of robustness.

Dr. Natansh Modi, a leading author of the study, emphasized that the findings reveal significant risks in the healthcare sector. “We are now deepening the embeddings of health information into the way people use these platforms,” she said, citing examples of claims about vaccines causing autism, cancer-promoting diets, HIV being airborne, and synthetic biology tools like 5G causing infertility. “This [study] inadvertently flips a significant risk to the light, showing a new, and more pervasive potential threat to the credibility of health information.”

The researchers also exposed public tools and platforms, such as the OpenAI GPT Store, which allowed users to create and share customised chatbots. Using this platform, they developed a disinformation chatbot prototype, which achieved 100% accuracy in generating false information. Additionally, they identified existing public tools that were capable of producing health disinformation, showing that even tools accessible to the public hold vulnerabilities.

In a breath of fresh air, Modi noted that these findings are not an understatement, predicting a far-reaching and previously underexplored risk in the global health sector. “This is not a future risk. It is already possible, and even more persuasive,” she stated. “Without immediate action, these systems could be exploited by malicious actors to manipulate public health discourse at scale, particularly during crises such as pandemics or vaccine campaigns.”

The study’s implications for healthcare safeguarding are profound. While traditional methods of securing health information are robust, the introduction of AI systems is posing a significant threat. “We must ensure that such AI systems are not merely enabled, but also protected from being turned into [|some|prominent] disinformation tools,” Modi said. “Otherwise, the treasure trove of beneficial information to be propagated will be at risk.”

In conclusion, this study, marking a significant milestone in the evaluation of AI’s role in the medical field, underscores the need for a more comprehensive approach to securing and safeguarding health information. It challenges current practices by exposing the vulnerabilities of AI-driven healthcare tools and highlights the importance of transparency, regulation, and collaboration in ensuring trust and accountability. The findings are a stark reminder that care must be taken to prevent the potential misuse of AI in generating misleading claims, a challenge that will require ongoing research, dialogue, and action.

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