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

While the public focuses on model size or benchmark wins, the layer where actual decisions happen gets far less attention.

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

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 ...

Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced ...

Kubit, the leading customer journey analytics platform, today announced the launch of Ask Kubit, a conversational AI ...

The patient knowledge gap is considered to be a critical shortcoming for the medical community, particularly at a time when ...

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

According to the report, the explainable ai market was valued at $6.2 billion in 2023, and is estimated to reach $39.6 billion by 2033, growing at a CAGR of 20.3% from 2024 to 2033.

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.