Research
Why is research needed?
Researchers study AI-generated information to understand its risks, improve its accuracy, and protect the reliability of public knowledge. AI tools often hallucinate facts or invent fake academic citations. Scientists study these failures to build better safeguards. Generative models can quickly write fake research papers or add unverified text into journals. Researchers test detection methods to stop scientific fraud.
Studies track how AI absorbs societal prejudices or spreads convincing misinformation to the public.Experts analyze how AI search summaries and automated content change what people read and trust online
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The pages below are an collection of research done by scientists, universities and other entities who are seeking for accuracy and reliability of AI in the distribution of information.
Pages may consist of a YouTube video.
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Some of today’s most popular large language model (LLM)-powered chatbots occasionally reference Kremlin-linked disinformation websites, but it might not be for the reasons many fear. While some recent studies have claimed that Russian actors are “grooming” LLMs by flooding the web with disinformation, our small-scale analysis finds little evidence for this. When such references appear, they can be due to “data voids,” gaps in credible information, rather than foreign interference.