AI Ethics & Academic Integrity Statement

^{Last updated: March 2026}

1. Human Agency Over Ghostwriting

Diglot is designed as an interactive thinking and drafting partner—not an automated ghostwriter. We reject black-box generative generation that replaces the student’s or researcher’s voice. Every suggestion, grammar correction, and structural recommendation requires author engagement, review, and approval.

2. Protecting Non-Native Speakers from False AI Accusations

Statistical AI detectors disproportionately flag non-native English writing due to predictable syntax and standardized vocabulary. Through the Diglot Authorship Certificate, we provide auditable, cryptographic edit logs and keystroke progression records to prove human composition and defend authors against false integrity accusations.

3. Transparent Attribution and Citation

Academic scholarship requires honoring predecessors. Diglot incorporates automated citation formatting across 15+ academic styles (APA, MLA, Chicago, IEEE, Harvard, and more) and strictly adheres to anti-plagiarism verification. We never fabricate sources or hallucinate bibliographic metadata.

4. Zero Data Exploitation for Model Training

Your research papers, dissertations, and proprietary manuscripts remain strictly confidential. Diglot does not sell user content, nor do we train public generative foundation models on your private documents. You maintain complete intellectual property rights over all text produced.

5. Alignment with Institutional Standards

We build tools that comply with university honor codes, international peer-review standards, and ethics guidelines established by organizations such as COPE (Committee on Publication Ethics). We encourage educators, researchers, and institutions to engage transparently with ethical AI-augmented scholarship.