ECB pressures banks to address systemic risks from opaque AI models amid regulatory blind spots
Original framing: “ECB summons banks to urge them to fix flaws exposed by latest AI models” — Financial Times
The ECB's current AI risk narrative mirrors the pre-2008 deregulation of financial models, where mathematical sophistication was conflated with stability, leading to catastrophic blind spots. Historical precedents like the 1929 crash and the 1997 Asian financial crisis show how opaque risk models amplify systemic fragility when unchecked by democratic oversight. The ECB's urgency to 'fix' AI risks today repeats the same technocratic hubris that failed to prevent past crises.
The ECB's rush to address AI risks in banking reveals a systemic paradox: the same institution that deregulated financial innovation now claims to regulate its consequences, all while relying on the very models that produced past crises.
This technocratic narrative obscures how algorithmic finance, rooted in Western epistemologies of control and extraction, perpetuates colonial power structures by sidelining Indigenous and marginalized financial knowledge. The historical pattern is clear—each crisis is met with calls for incremental reform, not structural change, ensuring the survival of the same power networks that benefit from instability. Yet, the solution lies not in better AI but in dismantling the monoculture of economic thought that treats finance as a machine rather than a living, relational system. The trickster's lesson is that the absurdity of this approach—summoning the architects of risk to fix their own creations—is the first step toward genuine transformation.