Meaning is everything: the problem of defining ethics for AI algorithms

Developing AI algorithms without strict definitions could create ethical problems for financial firms. To avoid mishandling their algorithms and potentially harming certain customer groups, firms must ensure their AI tools are no broader than the definitions they are based on.

Blackboard
An overlap in understanding

Settling on agreed

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Insuring the weather: modeling the complexities of climate change

Extreme weather makes forecasting and quantifying insurance losses harder, and ‘cat’ models struggle to predict events more extreme than those in the past. As regulators demand more action, dynamic ‘earth system’ models offer a better way to anticipate more climate-change risks.

Why more is not always better in the world of credit

Advanced analytics and AI promise revolutions everywhere, but real-world constraints abound. This is notably true in the world of credit scoring, which needs to be understandable, is often slow to give out real-world results, and can be muddied by the addition of unnecessary factors.

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