First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

Artificial intelligence is learning to read the labor market in places official statistics barely touch, scanning social ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Upstage, an AI startup selected as a "national representative AI," has directly refuted allegations that its AI model was developed by copying a Chinese model through a public verification process.

After more than two years of public fretting over AI models as future threats to human civilization or the seedlings of ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

As Indian travel behaviour shifted towards frequent, short-haul trips in 2025, travel platforms tell us how the change is ...

New York’s Medical Aid in Dying is often framed as compassion guided by medical expertise. But is the legislation prescribing ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...