AI risk doesn’t come from using AI.
It comes from governing it poorly.
As organizations scale AI adoption, one thing becomes clear:
there’s no single way to govern AI responsibly.
Most enterprises rely on a combination of governance approaches:
Informal governance shaped by culture and ethics
Ad hoc governance created after incidents
Formal governance with defined roles, controls, and accountability
Market-driven approaches led by industry standards
State-driven oversight through regulation and compliance
Each has strengths, and limits.