Welcome to AAAI 2025 workshop for personalized public health. Knowledge graphs (KGs) are prevalent in many real-world diverse applications across science and industry including search engines, recommendation systems, natural language processing (NLP), healthcare and life sciences, social networks, smart cities, education, and more. In recent years, KG construction and learning have grown into an established sub-field of AI and foundation models (FMs), i.e., researchers have been focusing on developing novel ontology design and entity identification, reasoning/embedding algorithms, and query answering. On the other hand, with the rising awareness that health equity and social justice are important, there are several challenges that public health professionals face. These include widespread inequities, structural racism and discrimination, geographic disparities, and substance use, etc. Additionally, learning algorithms and systems have exposed vulnerabilities, e.g., bias in AI systems is a critical issue that affects fairness, and trust and leads to unfair outcomes; data problems (e.g., curation of training data) significantly impact the performance, fairness, and reliability of FMs. Our workshop aims to provide an opportunity for scientific researchers, field practitioners, government agencies, legal services, and industrial partners to be at the forefront of this transformative initiative. This workshop will bring together experts from diverse fields, including but not limited to AI, FMs, KGs, social work, public health, justice, and health services research, to create a dynamic platform for brainstorming, collaboration, and action.

keynote Speakers