超七成受访大学生希望提升研发技术减少“AI幻觉”

Core Viewpoint - Over 70% of surveyed university students express a desire to enhance research and development technology to reduce "AI hallucinations" [10] Group 1: AI Hallucination Awareness - 97% of surveyed students have encountered instances of AI providing incorrect or false information [1] - 57.63% of respondents reported errors in data or case citations when using AI, while 55.03% faced incorrect academic references [2] - 12.66% of respondents are very concerned about AI hallucinations, and 48.67% are somewhat concerned and cautious in their usage [8] Group 2: Impact on Academic Integrity - AI-generated false historical facts can significantly disrupt academic research, as highlighted by students who experienced fabricated citations and misattributed events [4][5] - 57.70% of respondents believe AI hallucinations lead to errors in assignments or papers, while 52.29% waste time verifying information [4] Group 3: Recommendations for Improvement - 74.26% of respondents wish to enhance R&D technology and optimize algorithm models, while 63.79% want to improve manual review and user feedback mechanisms [10] - Students advocate for AI tools to provide source transparency, similar to academic papers requiring citation of references [10]