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AI for Society (AI4S) group at the AI Institute is focused on enabling people to make rational decisions despite real-world complexities of poor data, changing goals, and limited resources by augmenting their cognitive limitations with technology. Lead by Prof. Biplav Srivastava, the group works in neuro-symbolic methods, trusted AI, and applications of data-driven methods to society. Our differentiating initiatives are in language models and ontology for planning (generalized planning), black-box assessment and rating for AI (GAICO and ARC tools), group recommendation, metaconition-based SOFAI tool to combine fast (e.g., LLMs) and slow thinking (e.g., reasoners), and exploring AI like chatbots in trust-sensitive domains, viz. elections, opinion networks, and traffic (for SC). We innovate as well as apply AI techniques for hard problems facing the society with an inclusive, value-driven, focus. Historically, AI has done well only when not near humans. |
AI4Society @ AAAI 2023
ElectionBot-SC Demo @TechInLaw '24
AI for Credible Elections Workshop @AAAI '23
Team Lunch - Spring '25
Holi Celebration @ 2024
Recent Graduates - May '25
All AIISC faculty families @ 2022
All AIISC faculty families @ 2022
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2025
October
A paper on GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs is accepted at IAAI/AAAI 2026. Preprint at arXiv. September
A book edited and contributed by AI4S titled PROMISE - PROMoting AI’s Safe usage for Elections, is released by Springer Nature (more). A paper on A Neurosymbolic Fast and Slow Architecture for Graph Coloring is accepted at ACS 2025. Preprint at arXiv. A day-long event, AIx: AI for Seniors, will be held on November 14 (Friday). Sponsored by AAAI, this community outreach initiative will focus on the role of AI in supporting senior citizens. August
Two papers accepted at AAAI Fall Symposium on AI Trustworthiness and Risk Assessment for Challenged Contexts, (ATRACC) on time series and explainability. |
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