Search Results: AITrust

As deep learning grapples with 'black box' limitations, neuro-symbolic AI merges neural networks' pattern recognition with symbolic systems' logical reasoning to create auditable, transparent AI. This hybrid approach is gaining traction for high-stakes applications in healthcare, cybersecurity, and law, where explainability is non-negotiable. Pioneered by IBM, MIT, and DARPA, it represents a paradigm shift toward AI that doesn't just predict but justifies its decisions.

Generative AI tools like ChatGPT and Google's AI Overviews now process billions of queries daily despite widespread skepticism about their reliability. New data reveals only 8.5% of users fully trust AI-generated answers, yet adoption continues to surge as these tools reshape how we interact with information online.