LLM Overreliance Risks and Mitigation Strategies

A recent study published on arXiv emphasizes the necessity of addressing and measuring the excessive dependence on large language models (LLMs) in both research and practical applications. The authors outline risks that affect individuals and society, such as significant errors, governance issues, and cognitive deskilling. They investigate the traits of LLMs, design aspects of systems, and user biases that contribute to concerns regarding overreliance. Additionally, the paper reviews historical strategies for assessing overreliance, pinpointing three primary methods. It underscores the importance of developing AI systems that are compatible with human needs to prevent users from depending on LLMs beyond their limitations.