Neurosymbolic AI for Trustworthy and Fact-Checking AI

The most profitable endeavor is developing neurosymbolic AI that combines neural networks' learning capabilities with symbolic systems' reasoning and fact-checking strengths. This integration is challenging due to the lack of interpretability in neural networks, necessitating innovations to build a bridge between the black box and symbolic AI. The ultimate goal is to create AI that is reliable, accountable, and consistent with the world by enabling fact checking against known databases. To progress towards trustworthy AI, it is crucial to assess each advancement critically, distinguishing between technologies that contribute to the goal and those that do not.