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We stand at a critical moment in the development of AI. Technical capabilities are advancing rapidly, but there is a persistent gap between these advances and their benefit to society. The public consistently calls for AI to be directed toward pressing societal challenges, such as healthcare, education, and climate change, yet AI often develops along paths disconnected from these needs. This panel brings together international voices to explore this critical challenge: how can we ensure AI serves science, citizens, and society? Drawing on insights from recent public dialogues and real-world experiences, we'll examine what people expect from AI, the barriers to achieving this, and how to build innovation ecosystems that prioritize public benefit. Speakers Neil Lawrence (ai@cam Chair and DeepMind Professor of Machine Learning) Godliver Owomugisha (Busitema University, Senior Lecturer, Faculty of Engineering) Vilas Dhar (President, Patrick J. McGovern Foundation) Andrzej Szeptycki (Republic of Poland, Deputy Minister at the Ministry of Science and Higher Education) Moderator Jessica Montgomery (ai@cam, University of Cambridge) (c) AI House Davos 2025 Founders & Strategic Partners: ETH AI Center, Merantix, G42, Hewlett Packard Enterprise Presenting Partners & Guest Country: KPMG, The University of Tokyo, Poland