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WORKING GROUP 7: OPTIMIZING BASE MODELS FOR RESPONSIBLE AI PROGRESS As foundational AI models are refined, the field faces pivotal opportunities and challenges in guiding humanity towards ethical progress. This session will explore the necessary steps and innovations to ensure that agentic systems benefit humanity and its environment. Real world applications such as autonomous disaster response and climate-smart AI tools will be spotlighted. Leveraging concrete outcomes from recent international initiatives—most notably, the launch of the “Current AI” foundation, which emphasizes data transparency, open AI tools, and responsible development—this session takes a significant step toward supporting the creation of ethically built base models. 1. How can we incentivize academics to become leaders and innovators in AI? 2. What risks or advantages are associated with personifying (attributing human qualities such as emotions, personality, etc..) base models? Does personifying them help responsible AI progress? 3. What do you envision as the next critical steps for integrating responsibility into the lifecycle of AI model