AI governance’s real gap is accountability, not technology - CIO
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Most enterprises govern AI the way they would any other IT rollout: deploy dashboards, institute policies, and conduct periodic reviews. Having the right AI governance tools in place and addressing gaps is important, but IT executives should be more concerned about rethinking workflows and establishing ownership.
“Accountability usually breaks down first,” says Beena Ammanath, executive director of the Global Deloitte AI Institute. “Teams deploy AI faster than their organizations can define who owns risk, approvals, monitoring, and outcomes,” she adds, which results in inconsistent use, fragmented controls, and limitations in scale.
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