Companies become so good at generating perfect fake customers that they stop talking to real ones. The models work great until they meet actual humans.

We break down the biggest security risks when it comes to implementing AI into your logistics business, and how they can be ...

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

Because AI models cannot effectively train themselves on their own output, known as synthetic data, they require the regular infusion of new training data to evolve and maintain integrity.

Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker's customers and developers.

As AI continues to evolve, the intersection of data security and AI regulation will become increasingly important.

Apple is hardly the first company to lean on “fake” data to train AI models. Other companies have done it to great success.

The race to create more powerful artificial intelligence applications has also created a huge demand in China for high quality training data.

Mom Brook Hansen told BI she's worked on tasks such as chatbot training, ad reviews and voice recordings as a freelance data worker.