Risk Awareness

Risk awareness in artificial intelligence focuses on developing systems capable of identifying and mitigating potential hazards during operation, particularly in complex or unpredictable environments. Current research emphasizes the development of robust evaluation benchmarks and novel algorithms, including those based on large language models (LLMs), vision-language models (VLMs), and reinforcement learning, to assess and improve risk-aware decision-making in agents. This research is crucial for ensuring the safe and reliable deployment of AI systems in real-world applications, ranging from robotics and autonomous vehicles to healthcare and industrial automation, where unforeseen consequences can have significant impact. The development of risk-aware AI is thus a critical step towards building more trustworthy and beneficial artificial intelligence.