2026 Ubiquitous Trustworthy Intelligence International Academic Conference

The 2026 Ubiquitous Trustworthy Intelligence International Academic Conference (UTI 2026), held in Beijing, China, addresses one of the defining challenges of modern AI research: designing intelligent systems that are not only pervasive and capable but also transparent, fair, robust, and accountable. As AI is embedded into critical infrastructure, healthcare, autonomous vehicles, and public services, ensuring these systems operate reliably and in alignment with human values has become paramount. UTI 2026 convenes leading scholars and engineers to share advances in explainable AI, federated learning, adversarial robustness, privacy-preserving computation, and ethical AI governance, bridging theoretical machine learning research with applied system design.

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UTI 2026 invites original research contributions addressing trustworthy and ubiquitous AI systems. Topics of interest include: explainability and interpretability in deep learning; fairness, bias detection, and mitigation in ML models; adversarial robustness and out-of-distribution generalization; federated and privacy-preserving learning; uncertainty quantification in AI systems; AI safety and alignment research; ethical frameworks and regulatory compliance for AI deployment; human-AI collaboration and trust calibration; AI in critical applications such as healthcare, autonomous systems, and finance; and benchmarks for trustworthy AI evaluation. Both theoretical and empirical contributions are welcomed.