Counterfactual Reasoning in AI

What is Counterfactual Reasoning in AI?

Counterfactual reasoning in AI is a method where artificial intelligence analyzes “what-if” scenarios to predict how changing one variable could affect an outcome. By exploring alternative possibilities based on historical data, it helps AI make decisions, explain predictions, detect biases, and improve transparency, personalization, and safety in applications ranging from finance to self-driving cars.

About the Author

Emilie Rose Jones

Emilie Rose Jones

Emilie currently works in Marketing & Communications for a non-profit organization based in Toronto, Ontario. She completed her Masters of English Literature at UBC in 2021, where she focused on Indigenous and Canadian Literature. Emilie has a passion for writing and behavioural psychology and is always looking for opportunities to make knowledge more accessible. 

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