Value Engineering in AI

More workshops at International Joint Conference on Artificial Intelligence 2026

• AutoAI meets Foundation Models — Explores how automated machine learning and neural architecture search interact with the era of large...
• Federated Learning in the Age of Foundation Models — Addresses the intersection of federated learning and large foundation models - how to fine-tune or...
• Foundation Models for Social Good — Examines how large language and multimodal models can address societal challenges: climate change, healthcare access,...
• Generative Code Intelligence — Covers code generation, program synthesis, automated debugging, and code understanding with LLMs - including benchmark...
• Generative AI and Knowledge Graphs — Explores how knowledge graphs can ground and constrain generative AI outputs, and how LLMs can...
• Neuro-Symbolic Intelligence for LLMs and Autonomous Agents — Bridges neural and symbolic AI approaches for building more reliable agents - logical reasoning over...
• Robustifying Generative AI for Reliable and Human-Centric Systems — Explores robustness challenges in generative AI: distribution shift, adversarial prompts, hallucination mitigation, uncertainty estimation, and...
• Safe Agentic AI Framework and Ecosystem Roadmapping — Focuses on frameworks and governance for deploying AI agents safely in real-world settings - covering...
• Social Choice and Learning Algorithms — Addresses the intersection of computational social choice and machine learning - fair division, voting mechanisms,...
• Spatio-Temporal Reasoning and Learning — Brings together researchers working on reasoning and learning over spatial and temporal data - knowledge...
• Explainable Artificial Intelligence — One of the premier venues for XAI research, covering post-hoc explanation methods, interpretable model design,...