(Machine) Learning the Hard Way

Sometimes it is easier to have a rule than to learn by trial and error—much like telling a child, “Don’t touch the hot stove,” to avoid an unnecessary burn.

When answers are known and calculable, rule-based AI is the smarter option. Written rules can ensure reliable, error-proof outcomes in industries like financial services, where regulations demand precision and compliance.

Yet, where programmed answers don’t exist, machine learning and large language models can be invaluable. Help that isn't perfect is still better than no help at all.

The best AI strategies combine both approaches: utilizing rules when they are available to ensure safety and accuracy, and leveraging machine learning in areas where rules are not feasible or cost-effective. It is good advice to avoid learning a lesson the hard way when you can prevent it by using rules-based AI as well.

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