Businesses can integrate blockchain and decentralized compute to manage data while limiting hallucinations, boosting trust, ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...

While AI promises efficiency and scalability, its rapid adoption has outpaced our ability to ensure transparency, accountability, and fairness, raising serious legal, ethical and psychological ...

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...

Many past machine learning approaches to microplastic detection have been criticised for relying on idealised datasets ...

This Blog dives into defining Explainable AI, leveraging recent developments with the US Department of Commerce, and also taps into other sources to help board directors advance their leadership ...

Google LLC has introduced a new “ Explainable AI ” service to its cloud platform aimed at making the process by which machine learning models come to their decisions more transparent.

As AI and machine learning advance, requiring explainable AI and creating verifications of those explanations will become a check against malicious AI or AI that has simply gone off the rails.