There is a sensory gulf between the Earth that humans inhabit and the digital realms in which modern AI agents are created. To develop AI agents that can sense, think, and act as flexibly as humans in real-world settings, it is imperative to bridge the realism gap between the digital and physical worlds. How can we embody agents in an environment as rich and diverse as the one we inhabit, without the constraints imposed by real hardware and control? Towards this end, we introduce V-IRL: a platform that enables agents to scalably interact with the real world in a virtual yet realistic environment. Our platform serves as a playground for developing agents that can accomplish various practical tasks and as a vast testbed for measuring progress in capabilities spanning perception, decision-making, and interaction with real-world data across the entire globe.
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Tulane University（杜兰大学）；European University Institute（欧洲大学学院）；University of West Florida（西佛罗里达大学）；IBM Research（IBM研究院）；Institute for Human and Machine Cognition（人类与机器认知研究所）
AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI Agents
TIET（塔帕尔工程技术学院）；GTBIT（古鲁·特格·巴哈杜尔理工学院）；IGDTUW（英迪拉·甘地德里妇女技术大学）；Ministry of Electronics and Information Technology (MeitY), Government of India（印度政府电子和信息技术部）
Meta-learning ecological priors from large language models explains human learning and decision making
Institute for Human-Centered AI, Helmholtz Computational Health Center（以人为本的人工智能研究所，海德堡计算健康中心）；Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics（计算智能原理，马克斯·普朗克生物 cybernetics 研究院）；Eberhard Karls University of Tübingen（图宾根大学）；Princeton AI Lab, Princeton University（普林斯顿大学人工智能实验室）
Positive Alignment: Artificial Intelligence for Human Flourishing
Department of Psychiatry, University of Oxford（牛津大学精神病学系）；Flourishing Intelligence Program, Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford（牛津大学幸福智能计划、幸福与人类繁荣中心、林acre学院）；Google DeepMind（谷歌DeepMind）；LIFE；OpenAI；Anthropic；University of California, Los Angeles（加州大学洛杉矶分校）；Aily Labs（Aily实验室）；Stanford University（斯坦福大学）；Tufts University（塔夫茨大学）；Positive AI Labs（积极AI实验室）；Department of Informatics, University of Sussex（Sussex大学信息学系）；Department of Brain Sciences, Imperial College London（伦敦帝国理工学院脑科学系）
