Information Verification

The process of assessing the accuracy, reliability, and trustworthiness of information generated by AI systems before acting on it. For blind users of generative AI, information verification is uniquely challenging because visual cross-referencing is unavailable, switching between multiple inaccessible applications to fact-check is cumbersome, and AI-generated image descriptions cannot be independently verified without sighted assistance. Research identifies four factors that shape blind users' verification decisions: the context of use (personal vs. professional), the stakes involved (health information vs. casual queries), the verifiability of the content (how easily it can be checked), and the believability of the response (how plausible it seems). Designing accessible verification mechanisms directly into GenAI tools is critical for equitable AI use.