Situated AI
Situated AI focuses on intelligent systems that operate and make decisions in dynamic real-world environments. These systems interact with people, collaborate with other intelligent systems and continuously adapt to changing circumstances.
About Situated AI
Situated AI focuses on intelligent systems that operate and make decisions in dynamic real-world environments. These systems interact with people, collaborate with other intelligent systems and continuously adapt to changing circumstances.
The challenge addresses key scientific questions related to perception, communication, cognition, interaction and responsible behavior. FAIR researchers investigate how AI systems can act safely, efficiently and effectively in real-world contexts.
Research Objectives
Intelligent Perception
Enabling AI systems to understand and interpret their environment.
Intelligent Interaction
Supporting meaningful interaction between AI systems and people.
Collaborative AI
Developing AI systems capable of cooperating with other autonomous systems.
Responsible Deployment
Ensuring AI technologies remain trustworthy and aligned with societal expectations.
Work Packages
WP1 – Compute and Communication
Supporting efficient distributed AI systems and communications.
WP2 – Intelligent Perceptive Systems
Developing systems capable of understanding and interpreting their environment.
WP3 – Interaction and Cognitive Systems
Supporting communication, collaboration and intelligent behavior.
WP4 – Socio-Technical Systems
Studying the interaction between AI systems, organizations and society.
WP5 – Responsible AI
Ensuring safety, trustworthiness and responsible deployment.