Interactive AI

Interactive AI focuses on creating AI systems that engage in dynamic, two-way communication with humans, aiming for seamless collaboration and improved user understanding. Current research emphasizes developing models that learn from interaction, adapt to diverse tasks and environments (e.g., using transformer-based reinforcement learning), and provide understandable explanations for their actions (e.g., through explainable AI techniques). This field is crucial for building trustworthy and effective AI systems across various domains, from robotics and healthcare to education and creative applications, by addressing issues of transparency, user personalization, and human-in-the-loop control.