ACM TRUST 2027 will bring together researchers, practitioners, policymakers, and system builders working at the intersection of trustworthy AI, security, resilience, governance, and dependable computing infrastructure. The conference aims to foster rigorous dialogue on how next-generation AI systems can be designed, verified, deployed, and governed in ways that are safe, transparent, accountable, and robust in real-world environments.
The 2027 edition will emphasize both foundational advances and system-level practice, creating a strong venue for work that spans theory, methods, infrastructure, benchmarking, and domain-specific applications. We welcome contributions from academia, industry, and government that address the full lifecycle of trustworthy AI, from formal assurance and secure deployment to responsible use in healthcare, cyber-physical systems, national security, finance, public-sector infrastructure, and sustainability.
ACM TRUST 2027 is envisioned as a premier forum dedicated to trustworthy AI and computing systems, with a strong focus on methods, infrastructure, and governance that make advanced AI dependable in practice. The conference is intended to serve as a meeting point for communities that are often separated across machine learning, systems, cybersecurity, software assurance, governance, and domain applications.
In addition to technical rigor, the conference values work with measurable impact, reproducibility, and deployment relevance. Papers may contribute new theories, algorithms, architectures, benchmarks, evaluation frameworks, certification approaches, or application-driven studies that strengthen trust in AI-enabled systems across critical and high-impact domains.
Researchers and practitioners across the full breadth of academia and industry who are advancing the design, verification, development, and use of trustworthy AI and computing systems.
We welcome submissions across six key pillars that collectively define the technical, operational, and societal foundations of trustworthy AI systems.
Authors are invited to submit original, unpublished research papers aligned with the conference themes. All submissions should present significant technical contributions, clear validation, and relevance to trustworthy, secure, and responsible AI systems.
TRUST 2027 is designed to highlight impactful work that advances trustworthy AI not only in theory, but also in deployable systems, governance frameworks, and high-stakes applications.
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