Call for the Paper

ACM Conference on
Trustworthy and Responsible AI and Computing
Systems
ACM TRUST 2027 • Calls

Calls for Papers and Proposals

ACM TRUST 2027 invites researchers, practitioners, innovators, and system builders to contribute to a premier ACM forum on trustworthy and responsible AI and computing systems.

This page brings together the main Call for Papers, the Call for Emerging Area Track Proposals, the Call for Education Symposium Papers, and the upcoming Call for Workshop Proposals.

Current and Upcoming Calls

TRUST 2027

TRUST 2027 includes opportunities for regular research papers, Emerging Area Track proposals, Education Symposium papers, and workshop proposals. The calls below summarize the main contribution routes.

Call for Papers

Main Technical Program

ACM TRUST 2027 welcomes original, unpublished research contributions that advance the design, verification, deployment, evaluation, and governance of trustworthy and responsible AI and computing systems.

Conference Scope

The conference brings together work spanning trustworthy AI, security, resilience, governance, dependable infrastructure, benchmarking, and high-impact applications. Contributions may include new theories, algorithms, architectures, benchmarks, evaluation frameworks, certification approaches, or deployment-oriented studies.

Review Process

Research paper submissions will undergo rigorous double-blind peer review coordinated by the Technical Program Committee. Submissions should present clear technical contributions, validation, and relevance to trustworthy and responsible AI and computing systems.

Full paper-formatting instructions, submission templates, and publication requirements should be followed from the Authors Guidelines page.

Call for Education Symposium Papers

Education Symposium

The ACM TRUST 2027 Education Symposium invites K-16 educators and students to share work on trustworthy, responsible, and ethical AI and computing systems. The symposium provides a dedicated space for education-focused research, classroom practice, student projects, and responsible AI learning activities connected to the broader ACM TRUST community.

Submission Tracks

Submissions are welcomed across three education-focused tracks with tailored expectations for audience, format, and contribution type.

Undergraduate Students

  • Original research papers, extended project reports, or preliminary study findings.
  • Topics may include AI fairness, explainability, ML security, privacy-preserving computing, governance, responsible deployment, and adversarial robustness.
  • Format: 4–8 pages in ACM two-column conference style, excluding references.

Middle & High School Students

  • Projects on AI, computing ethics, digital trust, deepfakes, data privacy, algorithmic fairness, misinformation, and accessibility.
  • Submissions may be from students in grades 6–12, with a teacher or faculty sponsor.
  • Format: 1-page poster abstract or paper up to 5 pages in ACM two-column conference style.

K–12 Educators

  • Classroom-tested approaches to AI literacy, digital ethics, data privacy, and responsible computing.
  • Submissions may describe pedagogy, assessment strategies, professional development, or practitioner research.
  • Format: 3–6 pages describing context, learning objectives, instructional approach, and evidence of learning or reflection.

Important Dates

  • Abstract Registration: October 24, 2026
  • Paper Submission: October 31, 2026
  • Notification of Acceptance: December 31, 2026
  • Final Manuscript Camera Ready: February 28, 2027
Full Education Symposium details, submission requirements, and the CMT submission link are available on the dedicated Education Symposium CFP page.

Topics of Interest

Six Research Pillars

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

P1

Foundations of Trustworthy AI

  • Formal verification of AI and ML systems
  • Robustness, generalization, and adversarial resilience
  • Interpretability and explainability foundations
  • Uncertainty quantification and reliability metrics
  • Causal reasoning and trustworthy inference
  • Neuro-symbolic and hybrid AI approaches
  • Formal proofs of safety and correctness
  • Trust metrics and measurable assurance criteria
P2

Secure and Resilient AI Systems

  • Adversarial machine learning
  • Data poisoning and model backdoor defenses
  • Secure model deployment pipelines
  • Privacy-preserving AI and federated learning
  • Differential privacy and encrypted computation
  • AI supply chain security
  • Runtime monitoring and anomaly detection
  • Red-teaming and stress testing methodologies
P3

Trustworthy AI in Systems and Infrastructure

  • AI in cyber-physical systems
  • Edge AI and trustworthy IoT
  • Cloud and edge orchestration for safe AI
  • Resource-aware and energy-aware trustworthy AI
  • AI reliability in distributed systems
  • Human-in-the-loop system architectures
  • Trustworthy autonomous systems
  • AI lifecycle management and MLOps assurance
P4

Responsible AI, Governance and Compliance

  • Fairness, bias mitigation, and accountability
  • Transparency and auditability
  • AI risk management frameworks
  • Compliance with emerging AI regulations
  • Standards and certification of AI systems
  • AI governance in large-scale deployments
  • Ethical system design methodologies
  • Benchmarking responsible AI practices
P5

Evaluation, Benchmarking and Assurance

  • Trustworthiness benchmarks
  • Stress-testing frameworks
  • Reproducibility and replicability in AI research
  • Certification frameworks for AI systems
  • Dataset integrity and data governance
  • Risk assessment methodologies
  • System-level validation and verification pipelines
P6

Domain-Specific Trustworthy Applications

  • Healthcare AI safety
  • Smart grid and critical infrastructure
  • Industrial AI and cyber-physical systems
  • Financial AI risk control
  • Public-sector AI systems
  • Defense and national security AI
  • Climate and sustainability systems

Call for Emerging Area Track Proposals

Now Open

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

Purpose of 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

  • 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

Submission and Review

Author Information

Authors should prepare submissions according to the official ACM format and any TRUST 2027 author instructions. Detailed submission portal information will be updated when available.

Prepare the manuscript Follow the official ACM conference template and anonymization requirements for double-blind review.
Check author instructions Review the Authors Guidelines page for formatting, publication, and submission requirements.
Submit through the conference system Upload the paper, metadata, and required declarations through the designated submission portal once it is available.
Complete review and camera-ready process Accepted papers will complete the camera-ready process and be included in the conference proceedings.
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