AI Community

The AI community is actively addressing challenges in developing and deploying artificial intelligence systems, focusing on issues of bias, reproducibility, and responsible AI practices. Current research emphasizes improving the trustworthiness and explainability of models, particularly large language models (LLMs) and multimodal foundation models (MFMs), through the development of new benchmarks and evaluation methods, as well as exploring collaborative frameworks for model development and data acquisition. These efforts aim to enhance the reliability, fairness, and societal benefit of AI systems, impacting both scientific understanding and practical applications across diverse fields.