User Base

Understanding user behavior and preferences is crucial for developing effective and ethical AI systems. Current research focuses on personalizing AI interactions, including adaptive summarization, recommendation systems (using techniques like graph neural networks and BERT), and assistive technologies, while also addressing challenges like user fatigue, privacy concerns (e.g., through differential privacy), and the potential for manipulation or deception by AI. This work is significant for improving the user experience across various applications and for mitigating potential harms associated with AI systems.