The Swarm and the Signal: Controlling AI’s Emergent Behavior

A new framework proposes that understanding the local interactions of AI agents is key to preventing unpredictable and potentially harmful outcomes in complex systems.

A new framework proposes that understanding the local interactions of AI agents is key to preventing unpredictable and potentially harmful outcomes in complex systems.

A new approach leverages shared visual understanding to refine image annotation, bridging the gap between human perception and machine learning.

A new framework leverages artificial intelligence to streamline GDPR formalization, but finds human oversight remains essential for navigating the complexities of data privacy law.
Researchers are developing methods to guide AI interactions, ensuring human oversight and a clear audit trail for increasingly complex decision-making processes.
A new benchmark reveals that current methods for quantifying scientific novelty are inconsistent, suggesting opportunities for improved evaluation and weighting strategies.

Researchers have developed a new approach to realistically generate and manipulate scenes involving people and objects, opening doors for advanced image and video editing capabilities.

New research demonstrates that artificial intelligence can significantly aid in defining and evaluating system requirements, but human oversight remains critical.

New research demonstrates a real-time system capable of detecting non-violent robberies – like snatch-and-runs – by analyzing human pose and activity in video feeds.
A new review reveals that fairness in multi-agent AI systems often receives superficial treatment, overlooking crucial ethical foundations and the need for human oversight.

Researchers have unveiled a comprehensive dataset pairing human and robotic hand movements to advance the field of dexterous manipulation.