Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour
Researchers formalize cognitive atrophy as a process-level measure of LLM behavior, focusing on whether interactions help users reflect, cope, and make decisions. Current benchmarks miss this dimension, prioritizing knowledge and safety over long-term user impact. You should consider cognitive atrophy when evaluating LLM performance for applications like mental-health support. This measure could lead to more comprehensive assessments of LLM effectiveness.
Key takeaways
- Cognitive atrophy measures LLM impact on user decision-making over time.
- Current benchmarks prioritize knowledge and safety over long-term impact.
- Cognitive atrophy is relevant for high-stakes applications like mental-health support.
Researchers formalize cognitive atrophy as a process-level measure of LLM behavior, focusing on whether interactions help users reflect, cope, and make decisions. Current benchmarks miss this dimension, prioritizing knowledge and safety over long-term user impact. You should consider cognitive atrophy when evaluating LLM performance for applications like mental-health support. This measure could lead to more comprehensive assessments of LLM effectiveness.
Key takeaways
- Cognitive atrophy measures LLM impact on user decision-making over time.
- Current benchmarks prioritize knowledge and safety over long-term impact.
- Cognitive atrophy is relevant for high-stakes applications like mental-health support.