ScholarVault
Responsible AI & Integrity AI Summit 2026 • SVRIAS
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🎓 10 Competitive Student Research Grants Open • 100% Registration Fee Waiver
Call for Abstracts

CALL FOR PAPERS & SIX RESEARCH TRACKS

Submit original theoretical, algorithmic, empirical, and policy contributions to SVRIAS 2026. Zero submission fees with rapid 2–4 working day peer-review turnaround.

Abstract Submission Deadline: 25 October 2026 (23:59 UTC) [Extended]
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Submit Abstract Online View Official CFP (HTML) Download CFP (PDF) Abstract Template (.DOCX)
SCHOLARSHIP INITIATIVE • 10 AWARDS
100% REGISTRATION FEE WAIVER

SVRIAS 2026 Student Research Presentation Grants

To champion early-career research excellence and remove financial barriers, ScholarVault Conferences is proud to sponsor 10 competitive 100% registration fee waivers for the highest-scoring student-authored abstracts accepted to the Research Integrity & Responsible AI Summit 2026.

Eligibility Criteria

Enrolled undergraduate, postgraduate, and doctoral (PhD) scholars submitting as the primary / first author across any of the 6 conference tracks.

Merit-Based Selection

The Technical Program Committee will evaluate abstracts based on originality, methodological rigor, ethical clarity, and summit impact. Top 10 ranked student submissions receive the grant.

Full Grant Benefits

100% Student Presenter fee waiver (valued at ₹25,000 across 10 endowed grants; standard student rate: ₹2,500), virtual presentation slot, publication in SVRIAS 2026 Conference Proceedings (ISBN: 978-81-181597-0-4), permanent CERN Zenodo DOI, and official Grantee Certificate.

How to Apply

Simply check the "Apply for SVRIAS 2026 Student Research Grant" checkbox when submitting your abstract via the portal. No additional fee or application form needed.

Submit Abstract & Apply for Grant View Student Pass Details Decision notifications delivered within 2–4 working days
TRACK 01

AI Ethics & Governance

Focuses on ethical frameworks, human rights impacts, safety alignment, bias quantification, and regulatory statutes such as the EU AI Act.

  • Algorithmic bias mitigation & fair scoring
  • Regulatory compliance & legal liability frameworks
  • Autonomous agent supervision & oversight
  • AI ethics board governance in academia
Submit to Track 1
TRACK 02

Research Integrity in the AI Era

Forensic tools to combat scientific fraud, synthetic paper mills, hallucinatory citations, and manipulated experimental figures.

  • Deepfake scientific image forensic detection
  • Automated detection of LLM-generated manuscripts
  • Paper-mill disruption & citation cartels
  • Anti-predatory publishing verification
Submit to Track 2
TRACK 03

Responsible AI Frameworks

Explainable AI (XAI), Mechanistic Interpretability, adversarial red-teaming, constitutional AI, and safety verification across high-stakes domains.

  • Mechanistic interpretability for foundation LLMs
  • Adversarial attack simulation & red-teaming
  • Uncertainty quantification in automated clinical ML
  • Value alignment & constitutional safeguards
Submit to Track 3
TRACK 04

Authorship, Attribution & AI Content

Establishing rigorous co-authorship criteria, adapting the CRediT taxonomy, cryptographic model watermarking, and IP governance.

  • Defining non-human contributions in scholarly work
  • Statistical & cryptographic watermarking of text
  • Training data provenance & copyright infringement
  • Transparent disclosure frameworks for academic journals
Submit to Track 4
TRACK 05

Peer Review & Reproducibility

Open science ecosystems, containerized code verification, automated peer-review auditing, and resolving the computational reproducibility crisis.

  • Artifact badging & containerized code audits
  • Mitigating bias in AI-assisted peer evaluation
  • Open dataset licensing and validation protocols
  • Pre-registration of machine learning experiments
Submit to Track 5
TRACK 06

Data Privacy & Accountability

Differential privacy, secure multi-party computation, federated learning privacy guarantees, synthetic data ethics, and machine unlearning.

  • Differential privacy in distributed AI
  • Synthetic data fidelity vs. privacy preservation
  • Machine unlearning & the right to be forgotten
  • Third-party algorithmic auditing & compliance
Submit to Track 6
AUTHOR GUIDELINES

Submission & Review Instructions

  • Abstract Word Count: Structured abstracts must range between 250 and 500 words, including background, objective, methodology, results, and ethical implications.
  • Review Turnaround (SLA): Rolling reviews are processed by the technical editorial desk within 2 to 4 working days of submission.
  • Universal Format: All accepted abstracts are designated as official "Virtual Research Presentations" with equal recognition.
  • Official Proceedings Publication: Accepted presentations will be published in the archival book SVRIAS 2026 Conference Proceedings (ISBN: 978-81-181597-0-4) with individual DOIs assigned upon publication. The official Call for Papers announcement and conference visual artifacts are permanently deposited on Zenodo (DOI: 10.5281/zenodo.22871615).
  • Integrity Disclosures: Authors must state whether generative AI tools were utilized in the preparation of the manuscript, following Track 4 guidelines.
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