ACM TRUST 2027 • MAIN CONFERENCE PAGE

ACM Conference on Trustworthy and Responsible AI and Computing Systems

ACM TRUST 2027 will bring together researchers, practitioners, policymakers, and system builders to shape the future of trustworthy, secure, resilient, and responsible AI and computing systems across high-impact domains.

Washington DC • 2027 • Global Forum on Trustworthy AI, Systems, Security, and Governance

CMT ACKNOWLEDGMENT: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Explore Conference Calls for Papers and Proposals Authors Guidelines

Home Authors Guidelines Calls Technical Program Committee Organizing Committee Steering Committee Sponsors

About TRUST 2027

Premier ACM Event

TRUST 2027 is designed as a premier ACM venue for foundational advances, deployment-ready systems, governance frameworks, and responsible innovation in AI and computing systems.

Conference Vision

The conference promotes strong technical rigor and real-world relevance across trustworthy AI, dependable systems, security, resilience, compliance, transparency, and responsible deployment. It aims to connect communities across machine learning, cybersecurity, systems, policy, and applied domains.

Who Should Attend

Researchers in AI, systems, and cybersecurity
Industry practitioners and product builders
Government and public-sector stakeholders
Standards, assurance, and governance experts
Students and early-career scholars

Calls for Papers and Proposals

TRUST 2027 Calls

TRUST 2027 includes calls for regular papers and selected proposal-based tracks. This section highlights current and upcoming opportunities for authors, organizers, and contributors.

Main Technical Program

Call for Papers

The main Call for Papers will include conference scope, themes, submission categories, formatting expectations, and review information. Full details will be updated on the official calls page.

Now Open

Call for Emerging Area Track Proposals

TRUST 2027 invites researchers, innovators, and practitioners from academia, industry, and government to submit proposals for Emerging Area Tracks.

Coming Soon

Call for Workshop Proposals

The Call for Workshop Proposals is expected to open in September and will provide details for workshop themes, organizer responsibilities, and submission instructions.

Call for Emerging Area (EA) Track Proposals

The ACM International Conference on Trustworthy and Responsible AI and Computing Systems (TRUST 2027) invites researchers, innovators, and practitioners from academia, industry, and government to submit proposals for Emerging Area (EA) Tracks.

EA Tracks provide a platform for peer-reviewed papers and interactive presentations on selected “hot” research topics of importance to Trustworthy and Responsible AI and Computing Systems. They should be coherent, timely, and informative, addressing relevant aspects of Trustworthy and Responsible AI and Computing Systems while complementing the traditional technical symposia.

Objectives of EA Tracks

Highlight emerging and timely research areas relevant to Trustworthy and Responsible AI and Computing Systems.
Explore innovative approaches that complement the traditional technical symposia.
Foster interactive engagement through presentations, panels, and discussions.

Proposal Guidelines

Title and scope of the EA Track.
Motivation and relevance to Trustworthy and Responsible AI and Computing Systems.
List of topics to be covered.
Organizers’ details, including names, affiliations, and contact information.
Potential contributors or invited speakers, if applicable.
Draft Call for Papers for the proposed EA.

Important Notes

Organizers are responsible for ensuring the quality and coherence of their EA track.
Accepted papers will be in the ACM Digital Library and indexed in EI Compendex and Scopus.
All papers submitted to EA tracks will undergo rigorous peer review.

Submission

Please send your EA proposals directly to the EA Chairs, and include “ACM TRUST 2027 EA Proposal” in the subject line.

EA Chairs

Dr. Foutse Khomh, Polytechnique Montréal — foutse.khomh@polymtl.ca
Dr. Jiawei Yuan, University of Massachusetts Dartmouth — jyuan@umassd.edu
Dr. Keeley Crockett, Manchester Metropolitan University — K.Crockett@mmu.ac.uk
Dr. Mohammad Hussein Hammoudeh, King Fahd University of Petroleum & Minerals — mohammad.hammoudeh@kfupm.edu.sa

Conference Pages

Quick Navigation

Use the links below to navigate across the official TRUST 2027 pages.

Technical Program Committee

View the TPC leadership, Emerging Area Chairs, and symposium chairs supporting review and program quality.

Organizing Committee

View the conference chairs, operational leadership, workshop chairs, publicity chairs, finance chairs, proceedings editors, registration chair, sponsorship chair, and web chair.

Steering Committee

View the senior advisory committee supporting the long-term direction and continuity of ACM TRUST 2027.

Calls

Access the Call for Papers, Call for Emerging Area Track Proposals, and upcoming Call for Workshop Proposals.

Authors Guidelines

Formatting rules, submission expectations, and publication instructions for authors.

Research Focus Areas

Trustworthy AI + Systems

TRUST 2027 welcomes foundational, system-level, and domain-driven contributions across the following directions.

Trustworthy AI Foundations Verification, explainability, uncertainty, robust inference, and measurable trust criteria.

Secure and Resilient AI Adversarial ML, model security, privacy-preserving learning, runtime monitoring, and red-teaming.

AI in Systems and Infrastructure Edge AI, cloud orchestration, cyber-physical systems, autonomous systems, and dependable MLOps.

Responsible AI and Governance Fairness, compliance, auditability, policy alignment, governance, and certification frameworks.

Evaluation and Assurance Benchmarks, reproducibility, validation pipelines, system-level assurance, and testing frameworks.

High-Impact Applications Healthcare, public-sector AI, smart infrastructure, defense, finance, and sustainability.