ACM TRUST 2027 • Education Symposium

Education Symposium ACM TRUST 2027

Advancing Trustworthy and Responsible AI Across K-16 Learning Communities

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About the Symposium

K-16 Learning Communities

The ACM TRUST 2027 Education Symposium invites submissions from K-16 educators and students who are exploring, teaching, or advancing understanding of trustworthy, responsible, and ethical AI and computing systems. Co-located with the main conference at George Mason University Arlington Campus, VA, the symposium creates a dedicated space where students and educators can share work, exchange ideas, and engage with the ACM TRUST research community.

Submissions are welcomed across three tracks, each with tailored expectations for originality, depth, and format. Accepted work will be presented at the symposium; accepted papers will be included in the ACM database.

Submission Tracks

Three Tracks

Track 1 — Undergraduate Students

This track invites undergraduate students to submit original research papers, extended project reports, or preliminary study findings related to trustworthy AI and responsible computing. Work may be theoretical, systems-oriented, or empirical. Submissions from individual students or small teams are welcome; faculty co-authorship is permitted, but the primary author must be an enrolled undergraduate.

Topics: AI fairness and bias auditing • Explainability methods • Security in ML systems • Privacy-preserving computing • Governance and policy frameworks • Responsible deployment case studies • Adversarial robustness

Track 2 — Middle and High School Students

This track invites middle and high school students in grades 6–12 to share explorations of AI, computing ethics, and digital trust through research projects, hands-on investigations, or creative design challenges. No prior research experience is required. Submissions from teams of up to four students are encouraged; a faculty or teacher sponsor is required.

Topics: How AI makes decisions • Deepfakes and online trust • Data privacy in apps • Algorithmic fairness in everyday life • Ethical dilemmas in AI use • Chatbots and misinformation • AI and accessibility

Track 3 — K-12 Educators

This track invites K-12 educators, instructional coaches, and school-based curriculum developers to share classroom-tested approaches to teaching AI literacy, digital ethics, data privacy, and responsible computing. Submissions may describe pedagogy, assessment strategies, professional development models, or reflective practitioner research.

Topics: Teaching AI ethics at K-12 level • Data literacy curriculum • Responsible computing units • AI tools in the classroom • Critical thinking about algorithms • Professional development models for CS teachers

Important Dates and Submission Guidelines

Deadlines

Important Dates

Abstract Registration: October 24, 2026
Paper Submission: October 31, 2026
Notification of Acceptance: December 31, 2026
Camera-Ready Manuscript: February 28, 2027

Submission Guidelines

Work must be original and not under review elsewhere.
At least one author must register to present accepted work.
Submissions should use the ACM proceedings template where required by the track format.
Submit through the Education Symposium CMT track.

Publication Ethics

Responsible Research

All submitting authors must follow responsible research and publication practices. This includes avoiding plagiarism or duplicate submission, properly acknowledging prior work and datasets, accurately representing authorship, and complying with ethical, legal, and privacy considerations applicable to the work. Authors of accepted papers must register for the conference, prepare their presentation according to symposium instructions, and submit a camera-ready version incorporating reviewer feedback.

Questions? Please contact the Education Symposium chairs through the information available on the Organizing Committee page.

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