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Organizations are responsible if something goes wrong. AI vendors typically disclaim liability for how their tools are used, and courts and regulators are increasingly holding the organizations that deploy AI — not the developers who built it — accountable for harmful outcomes. If an AI-generated output causes harm, whether a legal error, a biased recommendation, or a privacy breach, the organization that approved and used it bears the responsibility.
This makes internal oversight essential, not optional. Someone in your organization needs to be accountable for how AI is used, what it produces, and whether appropriate review processes are in place. That does not require a dedicated AI officer — in a small organization, it might simply mean designating a staff lead who owns the acceptable use policy and periodically audits how tools are being applied.