Title: Building an Ecosystem for Responsible, Trustworthy Governance of AI Solutions Elizabeth M. Daly, IBM Research Join the meeting <https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZmFlYWRhYWUtNmY3Zi00M...> Abstract: As large language models (LLMs) rapidly reshape the technological landscape, their potential is matched by profound risks. From accelerating innovation and development to the growing reliance on AI in high-stakes decision-making, we face a critical challenge: how do we ensure these systems are aligned with human values, factually reliable, and governed responsibly? This talk explores the urgent need for a governance-first ecosystem that empowers developers, researchers, and policymakers to evaluate, align, and manage AI systems effectively. We present a community-driven ecosystem of tools: EvalAssist, Risk Atlas Nexus, FactReasoner, Benchmark Cards, and Unitxt—designed to support transparent evaluation, risk-aware development, and factual reliability. By turning risks into concrete evaluations and mitigations, we pave the way for AI systems that are as responsible as they are innovative. <https://arxiv.org/abs/2407.02191>Bio: Elizabeth M. Daly is a Senior Technical Staff Member leading the Interactive AI Group at IBM Research in Dublin. Her work focuses on Human-Centered Trustworthy AI, developing systems that align with human values and support collaborative decision-making. She earned her Ph.D. in Computer Science from Trinity College Dublin, where her research explored social network analysis in delay-tolerant networks. Before joining IBM Research Dublin, she was a postdoctoral researcher at IBM’s Research Center for Social Software in Cambridge, MA. Elizabeth has served as a Master Inventor at IBM, was vice-chair the Royal Irish Academy’s Committee on Engineering and Computer Science, and serves on the program committees of leading conferences including AAAI, IUI, RecSys, WWW, UMAP, and ICWSM. Subscribe to future talk announcements: Anyone outside Bell Labs can receive talk announcements by subscribing to the mailing list. To subscribe, send an empty email with the subject line "Subscribe RAI" to daniele.quercia@polito.it<mailto:daniele.quercia@polito.it>