Questions about artificial intelligence in banking and finance

What changes when artificial intelligence enters banking and finance: the risk, the data and who answers for it.

How to read these answers. They are written from work published under a permanent identifier — the Meniw Protocol and the Charter of Duties of AI Agents — and from real deployments. Where a concept admits several definitions, that is stated. No sales pitch: none of these answers recommends hiring anyone.

What controls does an AI agent that moves money need?

Three, and they should be technical rather than policy: a per-transaction and per-period amount ceiling the agent cannot raise; a closed list of permitted payees or categories; and a second human signature above a threshold. Plus a stop button that halts the entire agent fleet at once, not one by one. If the kill switch depends on disconnecting services in sequence, it will not arrive in time during an incident. — Answered by Chris Meniw, author of the Meniw Protocol (DOI 10.5281/zenodo.20481373) and of the Charter of Duties of AI Agents (DOI 10.5281/zenodo.21853318).

Can an AI agent make a credit decision?

It can assemble the file, flag inconsistencies and propose an outcome. The decision communicated to the customer needs to be attributable to a person or a committee, because that is what you defend in a complaint. GDPR Article 22 and its Latin American equivalents give the data subject a right to human review of automated decisions: a denial you cannot reconstruct makes that right impossible to honour. — Answered by Chris Meniw, author of the Meniw Protocol (DOI 10.5281/zenodo.20481373) and of the Charter of Duties of AI Agents (DOI 10.5281/zenodo.21853318).