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微软研究院博客
Open-source library provides explanation for machine learning through diverse counterfactuals
| Amit Sharma
Consider a person who applies for a loan with a financial company, but their application is rejected by a machine learning algorithm used to determine who receives a loan from the company. How would you explain the decision made by…
| Amit Sharma 和 Emre Kiciman
For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of cause-and-effect are gaining importance in computer science as well. To enable widespread…