Large language models are increasingly being incorporated into professional workflows through new software and integrations with existing tools for text generation.
AI-generated content is susceptible to hallucinations where the AI may provide truth-like but incorrect outputs, posing a challenge for users in professional environments.
Designers of generative AI products need to assist users in identifying and correcting errors in the content generated by AI, a responsibility that many current genAI tools are failing to fulfill.
While AI tools can enhance productivity by quickly generating text based on prompts, users face difficulties in verifying the accuracy of AI outputs, as the editing and verification process is crucial to ensuring correctness.