Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...