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ACM TRUST 2027 • CALL FOR PAPERS

Call for Research Papers

ACM TRUST 2027 invites original research contributions on the design, verification, development, evaluation, and use of trustworthy and responsible AI and computing systems.

This page covers the main Call for Research Papers, submission requirements, review process, the full technical program directory, and ACM Open Access information. Education Symposium submissions are handled on a separate dedicated page.

Call for Papers at a Glance

Author Information

This page contains the scope, research topics, submission requirements, review process, technical program directory, and ACM Open Access information for the TRUST 2027 research-paper call.

Paper FormatACM sigconf, two-column PDF
LengthUp to 9 pages, including appendices
Review ModelDouble-blind peer review
Submission SystemMicrosoft CMT

Call for Research Papers

Research Papers

ACM TRUST 2027 welcomes original, unpublished research contributions that advance the design, verification, deployment, evaluation, and governance of trustworthy and responsible AI and computing systems.

Scope

Contributions may include new theories, algorithms, architectures, systems, benchmarks, evaluation frameworks, certification approaches, or deployment-oriented studies related to trustworthy and responsible AI and computing systems.

Format

Manuscripts must be submitted as PDF files using the 2-column ACM sigconf template. Full papers may not exceed 9 pages, including any appendix, plus unlimited pages for the GenAI Usage Disclosure section and references.

Reviewing is double-blind. Submissions must not reveal author names or affiliations and must avoid obvious self-references. Submit through the TRUST 2027 CMT submission system.

ACM Publication Policies

Required for All Submissions

By submitting to TRUST 2027, authors acknowledge and agree to the following ACM policies.

By submitting your article to an ACM Publication, you and your co-authors are hereby acknowledging that you are subject to all ACM Publications Policies, including ACM's Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
Please ensure that you and your co-authors obtain an ORCID iD, so you can complete the publishing process for your accepted paper. ACM is committed to collecting ORCID iDs from all published authors to improve author discoverability, ensure proper attribution, and support ongoing community efforts around name normalization.

Topics of Interest

Research Areas

TRUST 2027 welcomes contributions across the following research areas.

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
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
  • AI supply chain security
  • Runtime monitoring and anomaly detection
P3

Trustworthy AI in Systems and Infrastructure

  • AI in cyber-physical systems
  • Edge AI and trustworthy IoT
  • Cloud and edge orchestration for safe AI
  • AI reliability in distributed systems
  • 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
  • Standards and certification of AI systems
  • Ethical system design methodologies
  • Benchmarking responsible AI practices
P5

Evaluation, Benchmarking and Assurance

  • Trustworthiness benchmarks
  • Stress-testing frameworks
  • Reproducibility and replicability in AI research
  • 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
  • Climate and sustainability systems

Technical Program and CFPs

6 Symposia + 30 EA Tracks

Authors select the symposium or Emerging Area (EA) track that best matches their paper's primary contribution. Each entry below lists its chairs and contact emails, its dedicated CMT submission link, and a CFP PDF download button when the file has been received. Entries without a PDF yet are marked and will be updated as files arrive.

Flagship Symposia

6 Technical Symposia

Original technical papers are sought in the six flagship symposium areas below. Select the dedicated CMT button for the symposium that best matches your paper.

Emerging Area Tracks

30 EA Tracks

Emerging Area tracks provide focused venues for timely, rapidly developing, and interdisciplinary topics in trustworthy and responsible AI and computing. All EA-track papers must be submitted through the dedicated CMT link shown for the selected track.

Submission Requirements

Before Submission

Authors should review both this page and the complete Authors Guidelines before uploading a manuscript.

Formatting and Length

  • Submit a PDF using the ACM proceedings template with the sigconf option.
  • Use the two-column conference format.
  • Full papers may not exceed 9 pages, including appendices.
  • References and the required GenAI Usage Disclosure section may use additional pages.

Originality and Submission

  • The manuscript must present original, unpublished work.
  • Clearly explain novelty, significance, methodology, evaluation, and limitations.
  • Select the symposium or Emerging Area track that best matches the paper's primary contribution.
  • Submit through the official TRUST 2027 CMT system.
Review the complete Authors Guidelines before final submission.

Review Process and Author Responsibilities

Double-Blind Review

Double-Blind Reviewing

  • Author names and affiliations must not appear in the submitted manuscript.
  • Acknowledgments and other identifying information must be removed for review.
  • Self-citations should be written in the third person and should not reveal author identity.
  • File metadata and supplementary material should not contain identifying information.

Research Quality and Responsible Reporting

  • Claims should be supported by appropriate analysis, experiments, formal arguments, or other evidence.
  • Authors should describe important assumptions, limitations, risks, and potential societal impacts.
  • Data, benchmark, and evaluation choices should be reported clearly enough to support assessment and reproducibility.
  • The manuscript must comply with applicable ACM publication and research-integrity requirements.
Submissions that reveal author identity, exceed the page limit, use an incorrect format, or fail to satisfy the conference's submission requirements may be returned without review.
CMT Acknowledgment: The Microsoft CMT service is used to manage the peer-review process for this conference. This service is provided free of charge by Microsoft, which bears all related expenses, including Azure cloud services, software development, and support.

ACM Open Access and Article Processing Charges

Important Author Information

Important Update on ACM's Open Access Publishing Model for 2027 ACM Conferences

All ACM publications, including papers from ACM-sponsored conferences, will be published as 100% Open Access. Authors will either be covered through their institution's participation in ACM Open or will be required to pay an Article Processing Charge (APC).

Approximately 3,000 institutions participate in ACM Open, covering around 76% of ACM conference papers. Authors should review the official list of participating institutions to determine whether their institution provides coverage.

For authors whose institutions do not participate in ACM Open, the subsidized 2027 APC is:

  • $500 for ACM or SIG members
  • $750 for non-members

unless the author qualifies for an approved waiver. The year 2027 is the final year of this subsidized APC arrangement. Authors may review ACM's APC Waivers and Discounts Policy for additional information.

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