Deploying AI without understanding its trustworthiness parallels a pilot skipping pre-flight checks. Trust doesn’t magically appear in intelligent systems. An AI trustworthiness framework provides structured, measurable approaches to assess reliability, moving beyond ethics alone to create systems leaders can defend and stakeholders can trust—from data preparation through continuous monitoring. KEY TAKEAWAYS * Three dimensions define AI trustworthiness: magnitude of consequences, problem complexity, and data quality—all interdependent * Major frameworks (NIST,