Internal reports have emerged that learning data workers hired to make AI (artificial intelligence) smarter are using AI ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A new DataGrail report finds many AI vendors fail to disclose subprocessors and hidden models, exposing companies to rising ...

The world is changing rapidly, and if businesses want to keep up, there is no alternative but to change with it. Customer behavior, market conditions, and the technological landscape are in a constant ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

As institutions become more data-rich and data-reliant, their capacity for analytics is not necessarily keeping up. In an Educause QuickPoll of higher education IT leadership focused on data strategy ...

Big pharma shares its machine learning models with biotechs, but awaits definitive data on success of artificial intelligence-generated drugs. You have full access to ...

Data modeling is an important part of business intelligence that requires the support of skilled professionals. Learn more about what they do. Databases are central to the operations of many ...