How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Children today can encounter harmful material online with alarming ease, including violent, sexual and self-harm content. While this is often treated as a moderation failure, the deeper cause is ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...