A critical consequence of distributing AI governance responsibility across too many roles is the creation of ambiguity in ownership and authority, which undermines accountability and slows meaningful progress. This diffusion of responsibility leads to confusion about who is ultimately responsible, resulting in overlapping or fragmented efforts, delays in decision-making, and difficulties in holding any party accountable for failures or breaches. This situation effectively hampers the organization's ability to govern AI systems efficiently and responsibly.
