The field of artificial intelligence is moving towards increased collaboration between humans and AI systems, with a focus on responsible AI development. Recent research has highlighted the importance of human-AI collaboration in improving the accuracy and efficiency of AI systems, particularly in areas such as healthcare and social media moderation. The use of large language models (LLMs) has been shown to be effective in detecting prosocial behavior, invasive ductal carcinoma, and other complex tasks. However, the development of these systems requires careful consideration of the limitations and biases of both human and AI components. Noteworthy papers in this area include:

• A paper on prosocial behavior detection in player game chat, which presents a practical pipeline for scalable and high-precision prosocial content classification.
• A paper on human-AI collaboration for invasive ductal carcinoma detection, which proposes a human-in-the-loop deep learning system that achieves state-of-the-art performance.
• A paper on LLM co-design in a safety-net hospital, which presents a novel co-design framework for settings with limited access to domain experts.