Cornell Chronicle: Lawmakers struggle to differentiate AI and human emails

Cornell Chronicle: Lawmakers struggle to differentiate AI and human emails. “A field experiment investigating how the natural language model GPT-3, the predecessor to the most recently released model, might be used to generate constituent email messages showed that legislators were only slightly less likely to respond to AI-generated messages (15.4%) than human-generated (17.3%).”