To help guide responsible AI development.

Several core ethical principles have emerged, many drawn from fields like bioethics and adapted to financial contexts.

Let's briefly examine five of the most widely accepted beneficence.

AI systems should aim to produce positive outcomes for clients, firms, and the financial system.

Non maleficence, in other words, do no harm.

AI should be designed to minimize risks such as financial exclusion or bias decision-making.

Autonomy. Individuals should have control over how AI affects them, including meaningful choices and the ability to contest automated decisions.

Justice outcomes must be fair and equitable.

Avoiding discrimination in areas like lending or underwriting exp. Expectability decisions made by AI must be explainable and transparent.

This is especially critical in finance where accountability is paramount.

As the organization for Economic Cooperation and Development emphasizes these principles form the ethical backbone for AI governance frameworks, enabling institutions to ensure that technology serves humans, not the other way around.