MyDataWork POV — The real issue is the data feeding these AI systems, rather than governance or explainability tools. Organizations are pouring resources into making AI more trustworthy, yet overlook the foundational role of data quality. Without addressing data integrity and completeness, all the governance in the world won't bridge the trust gap. It's like building a skyscraper on shaky ground; no amount of architectural finesse can compensate for a weak foundation. Ensuring data accuracy and reliability should be the priority, as it underpins every AI decision and outcome.