AI transformation is often presented as a technology challenge. Organizations are told to choose the right models, hire AI specialists, build better data pipelines, and automate more processes. Those things matter. But they do not answer the harder questions: Who decides where AI should be used? Who is accountable when…

AI systems can produce answers that appear correct while missing the context needed to make a reliable decision. A customer support AI may approve a refund without considering the customer’s contract. A healthcare-related system may interpret information differently when an important part of the record is missing. An AI assistant…