Oral Usage Governance Advisor: From Intent to AI Governance Elizabeth M. Daly, Sean Rooney, Seshu Tirupathi, Luis Garcés-Erice, Inge Vejsbjerg, and 7 more authors Oral Scopes of Alignment Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf, Matthew Riemer, and Justin D. Weisz Oral On research oversight for fostering responsible AI R&D ecosystem Neeti Pokhriyal Oral Advancing Global AI Policy Through the Lens of Gender Equity Vaisnavi Nemala LLM Alignment via Reinforcement Learning from Multi-role Debates as Feedback Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Jiaqi Li, Aihua Pei, and 4 more authors INTEGRA: INclusive Technology for Enhanced Gradation and Review of Applicants Francesco Pivi, Michele Lombardi, Roberta Calegari, and Elisa Rimondi Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change Mowafak Allaham, Ayse Deniz Lokmanoglu, P. Sol Hart, and Erik C. Nisbet MINT-Demo: Membership Inference Test Demonstrator Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, and 1 more author Governance in Agentic Workflows: Leveraging LLMs as Oversight Agents Imran Nasim Towards a Governance Framework for Generative AI in Drug Discovery: Ethical, Regulatory, and Practical Challenges Imran Nasim, and Adam Nasim Adding Reflective Governance to LLMs Parisa Salmani, and Peter R. Lewis Beyond Bans: Thoughtful Use of AI in the Classroom Kendall Brogle, and Umang Bhatt Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Evangelos Anagnostopoulos, Christos Varytimidis, and 1 more author A Practical Approach to Fostering Trust in AI via Semantically Supported Accountability Ali Imran Hashmi Towards Explainable AI in Advertising Compliance: A Logic-Driven Two-Stage Multi-Agent System Makoto Takamatsu, Modong Tan, Ryotaro Sugiura, Mioko Hirose, and Naoya Takizawa A Preliminary Study of Identifying Housing Outcomes from Casenotes Using Large Language Models Ezinne Nwankwo, Lauri Goldkind, and Angela Zhou PRISM: A Pragmatic Framework for Evaluating Counterfactual Explanations in XAI Leila Methnani, Virginia Dignum, and Andreas Theodorou Provenance Question-based AI Transparency and Accountable AI Governance Laura Waltersdorfer, Dominique Hausler, and Tanja Auge Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey, and Vladimir Filkov What is Real Anymore? An AI/ML Image Dataset Using Authenticity Validation and Traceable Origins for Every Data Instance Andrew McDonald Machine Learning Approaches for Banknote Recognition: A Comparative Study of KNN and Random Forest Gauri Aggarwal, and Anushree Jain