Humans have social intelligence that enables them to engage with others through nonverbal communication (e.g, body language) and verbal communication (e.g., natural language), among other modalities.  Social intelligence plays a crucial role in helping humans navigate daily interactions and has been a key factor driving the very emergence of norms and culture governing society. There has been a growing interest across computing communities to build social intelligence competencies such as social perception, social memory, and social reasoning in artificial intelligence (AI) systems. These systems with artificial social intelligence could enable richer, more seamless human machine interactions to support human health and well-being in homes, hospitals, manufacturing, and other settings.  

Research priorities, problem definitions,  and modeling frameworks to endow AI systems with social intelligence competencies can vary across computing communities (and have varied in prior decades). What are core technical challenges and future opportunities for cross-field collaboration to advance the science of social intelligence and socially-intelligent AI? Alongside benefits to society, what are ethical concerns, safeguards, and risks to building social intelligence in AI systems? 

Our ECCV 2024 workshop welcomes anyone interested in artificial social intelligence to discuss these questions and more!