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Large language models tend to generate new but false information with great confidence.
Large language models tend to generate new but false information with great confidence.
The increasing integration of generative AI in business and private applications brings with it new risks. According to TÜVIT, a TÜV NORD GROUP company, AI hallucinations are a phenomenon that requires particular attention. AI systems generate misleading or false information that appears plausible but does not correspond to reality. This can affect a wide range of applications, from automated customer service systems to complex decision-making processes in industry.
Thora Markert, Head of AI Research and Governance at TÜVIT, explains: “Large language models, as they are often used, tend to generate new but incorrect information with great confidence.” The consequences of such misinformation could be serious and lead to financial, operational and reputational damage. It is therefore essential that users of AI technologies are aware of these risks and take appropriate precautions. “Regular checks of the accuracy and reliability of AI-supported systems are essential to minimize the risk of misinformation,” emphasizes Markert. In addition, a critical approach to AI-generated information and its verification by independent sources is recommended.
Vasilios Danos, Head of AI Safety at TÜVIT, adds: “While large language models (LLMs) are powerful tools, they also come with specific challenges, such as the phenomenon of AI hallucination. Through comprehensive testing, we help AI developers to identify and minimize risks and increase confidence in the technology.” Danos emphasizes that by becoming aware of the potential risks of AI hallucinations, trust in AI technologies could be strengthened and it could be ensured that their benefits are used responsibly.
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