Exploring how agentic AI can be responsibly designed, rigorously evaluated, and effectively deployed to address real societal challenges.
In conjunction with ACM SIGCAS 6th International Conference on Information Technology for Social Good (GoodIT 2026)
2–4 September 2026, Pisa, Italy
Agentic and generative AI systems, powered by Large Language Models, adaptive reasoning, and multi-agent collaboration, are rapidly transforming how technology shapes society. These systems demonstrate autonomous decision-making, engage in social interactions, and coordinate collective actions across education, healthcare, environmental monitoring, civic participation, and public services.
Yet their growing influence on public discourse, institutional processes, and information access raises critical questions: How can we ensure these systems remain transparent, accountable, and aligned with human values? How do we design them to genuinely serve Social Good and advance the UN Sustainable Development Goals?
This special track brings together researchers, practitioners, and policymakers to explore how agentic AI can be responsibly designed, rigorously evaluated, and effectively deployed to address real societal challenges while centering human needs, rights, and collective well-being.
We welcome submissions addressing, but not limited to: