Social Awareness

Social awareness in artificial intelligence focuses on developing systems that understand and appropriately respond to the social context of their actions, mitigating biases and ensuring responsible interaction. Current research emphasizes improving models' understanding of nuanced queries, handling incomplete information, and adapting to diverse user needs, often employing techniques like reinforcement learning, graph neural networks, and adaptive sampling methods within large language models. This research is crucial for building trustworthy and beneficial AI systems, addressing issues of fairness, safety, and effective human-AI collaboration across various applications, from cybersecurity training to multi-robot coordination.