The quality, quantity, and diversity of training data are crucial for the accuracy and generalization of AI models. Poor or insufficient data can lead to inaccurate models or overfitting, where ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

AI may feel invisible. Just a few keystrokes and a quick reply from a chatbot. But behind the scenes, it is powered by ...

DataSum focuses on ethical guidelines, methodologies and standards to help ensure responsible, transparent and unbiased AI training data.

OpenAI declares AI race “over” if training on copyrighted works isn’t fair use National security hinges on unfettered access to AI training data, OpenAI says.