AIBearisharXiv – CS AI · 6h ago7/10
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Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation
Researchers have identified 32 specific risks in automated fact-checking systems that use AI and large language models, focusing on how errors propagate from initial risk factors through hazardous situations to eventual harm. The study demonstrates that traditional IT security assessment methods like STRIDE fail to capture emerging risks unique to automated fact-checking systems, highlighting critical gaps in safeguarding these tools against spreading misinformation.