As artificial intelligence becomes embedded in financial decision making, it is crucial to distinguish between what is legal and what is ethical.

These are not the same laws establish minimum standards of behavior enforced by regulator.

Ethics, on the other hand, address broader questions of what ought to be done, which can be used in any given circumstance even when the law is silent.

For example, a trading algorithm might comply with all regulations from a strict compliance perspective, yet still manipulate market conditions in ways that erode trust and therefore not be seen as ethical.

Similarly, an AI credit scoring tool might be entirely legal, but use criteria that happen to correlate with race or gender while legal, this could result in unfair outcomes, meaning it could be viewed as unethical according to the World Economic Forum.

Responsible use of AI in finance must go beyond regulatory compliance and proactively address the ethical impact of decisions on customers, markets, and society.

Ethics provides the lens through which financial professionals can evaluate whether AI systems align with core values, not just roles.