This article is authored by Tauseef Alam, legislative associate and research lead to Sujeet Kumar, Member of Parliament ...

As digital finance continues to evolve at a rapid pace, so too does the complexity surrounding data security, fraud detection, and regulatory compliance. Artificial ...

Businesses can integrate blockchain and decentralized compute to manage data while limiting hallucinations, boosting trust, and shaping the future of enterprise AI.

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

Gade explains, “for AI to be successfully implemented at scale, people need to learn to rely on similar abstractions, and AI needs to amplify trust. People need to understand how the machine is ...

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

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 ...

In an era where AI adoption frequently outpaces regulatory readiness, Archana Pattabhi, Senior Vice President at a leading global bank, led a forward-looking transformation that redefined how ...

Why Explainable AI Helps Decision Making Interestingly, achieving trust in AI actually means putting your trust in another form of AI—explainable AI (XAI), to be exact.

Explainable AI Article by Karen B. Roberts Photo illustration by Jeffrey C. Chase | Photos by Evan Krape January 29, 2024 UD researchers leverage trustworthy AI to improve seafloor data intelligence ...

Explainable AI (XAI) can improve safety, security, and the overall user experience in IoT applications.