MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

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 chief data officer for the Cybersecurity and Infrastructure Security Agency, Preston Werntz has made it his business to understand bias in the datasets that fuel artificial intelligence systems.

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 ...

This story was updated to add new information. LinkedIn user data is being used to train artificial intelligence models, leading some social media users to call out the company for opting members in ...

If left unchecked, "model collapse" could make AI systems less useful, and fill the internet with incomprehensible babble. When you purchase through links on our site, we may earn an affiliate ...

Sophie Bushwick: To train a large artificial intelligence model, you need lots of text and images created by actual humans. As the AI boom continues, it's becoming clearer that some of this data is ...

From boardroom bedlam to courtroom drama, Sam Altman has had a tumultuous three months. In December, the New York Times filed a federal lawsuit against OpenAI, alleging that the company infringed on ...