Questions for Evaluating AI Interpreting Solutions

This document is a guide designed to assist organizations in evaluating AI interpreting solutions. It outlines critical questions to consider across several categories, including quality assurance, language support, human escalation, compliance with industry standards, data security, error handling, bias, user experience, and future development. Each section features targeted questions aimed at assessing the capabilities and reliability of AI interpreting providers. Key considerations include the assurance processes in place for accuracy, the range of languages supported, methods for human support during interpreting sessions, and adherence to regulations like HIPAA and GDPR. Additionally, the guide addresses the importance of error tracking, bias mitigation, and cultural competency in AI solutions. Organizations are encouraged to use these questions to ensure that their chosen AI interpreting solutions meet their specific needs while ensuring compliance and performance standards.