Is Explainability the New Uncertainty?

• PurefunctionPipelineDataflow

  172 439 7.4

  My Blog: The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model

An explainable AI system must be constructed in the following way to achieve the best results.

- The rule-based AI expert system is used as the logical reasoning framework, and the rule base (statute law) is used as the basis for interpretation.

- The dynamic rules (case law) generated by machine learning run in the rule-based AI expert system.

- Dynamic rules (case law) generated by machine learning cannot violate the rule base (statutory law).

- If the dynamic rules (case law) generated by machine learning conflict with the rule base (statute law), the system must archive it and submit it to humans to decide whether to modify the rule base (statute law) and whether to adopt dynamic rules (case law).

https://github.com/linpengcheng/PurefunctionPipelineDataflow...

• fa

  2 12 0.0

  Lin Pengcheng Financial Analyser Homepage (林鹏程财务分析软件) (by linpengcheng)

- Case: Lin Pengcheng Financial Analyser

  https://github.com/linpengcheng/fa

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