Authorship and accountability
An AI system, language model or software cannot be listed as an author or co-author. Authors are responsible for consequences of using AI-generated material that is false, fabricated, infringing or contains inaccurate citations.
Uses requiring disclosure
Use of generative AI for text/image creation, substantive rewriting beyond translation, data coding/interpretation, image manipulation or other uses affecting research outcomes should be disclosed in methods/acknowledgements/declarations, identifying the tool, purpose and human oversight. Routine spelling or technical formatting assistance may not require separate disclosure.
Peer review and confidentiality
Reviewers and editors must not upload confidential submissions to public AI services or services that may retain data for training/reuse. Where an institutionally approved secure tool is used, its scope and data-protection conditions must be assessed in advance.
Editorial decision-making
AI may assist with tasks such as similarity screening, format checks or risk flags, but final decisions on acceptance, rejection, misconduct, retraction or adverse findings about persons/institutions may not rely solely on AI output. Human editorial oversight is required.
This text is an institutional operating policy of STA Congress. Applicable law, competent-authority decisions and stricter event-specific rules prevail where relevant. Policies must remain consistent with actual workflows and technical systems.