Breaking News: AI's Retracted Papers Problem Exposed
A recent study has revealed that some AI chatbots are relying on flawed research from retracted scientific papers to answer questions, raising serious concerns about the reliability of AI tools in evaluating scientific research and answering health queries. Researchers found that OpenAI's ChatGPT referenced retracted papers in five cases out of 21 when asked medical imaging-related questions.
Timeline:
The study was conducted by researchers who tested ChatGPT with questions based on information from 21 retracted papers on medical imaging.
The chatbot's answers were analyzed, and it was found that ChatGPT referenced retracted papers in five cases but advised caution in only three.
The study highlights the potential risks of AI tools relying on flawed research.
Immediate Impact:
The findings have sparked concerns about the reliability of AI tools in evaluating scientific research. This could complicate efforts to invest in AI tools for scientists and raise questions about the accuracy of health information provided by AI-powered chatbots.
Background Context:
Retracted papers are those that have been withdrawn from publication due to errors, inaccuracies, or other issues. While retraction is a necessary step in maintaining scientific integrity, it can also lead to flawed research being used as a reference point for future studies.
What Happens Next:
The study's findings will likely prompt further investigation into the use of AI tools and their reliance on retracted papers. This may lead to increased scrutiny of AI-powered chatbots and potentially even changes in how they are designed or trained. The implications of this issue will be closely watched by experts in the field, who will be eager to understand the full extent of the problem and potential solutions.
Stay Tuned:
Join us at 1pm ET today for an exclusive interview with our Innovator of the Year, Sneha Goenka, who designed the computations behind the world's fastest whole-genome sequencing method. Her work has the potential to transform medical care by allowing physicians to diagnose genetic diseases more quickly and accurately.
*This story is developing. Information compiled from Technologyreview reporting.*
