When AI Goes Wrong, Who Is Accountable? The Ownership Gap Enterprises Haven't Solved Yet
As AI systems influence decisions, automate workflows, and shape outcomes, responsibility is quietly diffusing. When something goes wrong, the organization often discovers that no single team fully owns the system involved.
Jan 15, 2026