Historically, AI has done well only when not near humans. 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. We innovate as well as apply AI techniques for hard problems facing the society with an inclusive, value-driven, focus.
Our differentiating initiatives are in working with, including training, large language models and creating ontology for automated planning (generalized planning), black-box assessment and rating for AI (GAICO and ARC tools), group recommendation, metacognition-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).
Kausik Lakkaraju will defend his dissertation, "Rating AI Models for Robustness Through a Causal Lens", on Feb 04.
A demo paper accepted at the ACM Web Conference 2026 on AAAI 2026 on ARC: A Tool to Rate AI Models.
Our group will be attending AAAI-26 to present the following works:
-
GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
(IAAI/AAAI-26)
Jan 23, Friday -
GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation
(Demo)
Jan 23, Friday - Booth 12 (Hall 3) -
OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding
(Demo)
Jan 24, Saturday - Booth 6 (Hall 2) -
Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs
(Demo)
Jan 23, Friday - Booth 5 (Hall 2)
