Neural-symbolic artificial intelligence (AI) combines the pattern-recognition and pattern-matching capabilities of neural networks with the symbolic-reasoning functionality and transparency features of rule-based and knowledge-based systems (KBSs). One of the main goals of neural-symbolic AI is the development of hybrid AI systems that are more explainable and transparent in their reasoning.
Advisor
![Better Transparency and Fairness in AI Systems](/sites/default/files/styles/square_thumbnail_180x180_/public/DA_DT/Advisors/2020/dadt200728_1.png?itok=Eze2z2NW)
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