Ethics, Integrity &
Compliance
Standard Operating Procedures for responsible scholarly communication on the Latent Scholar platform.
Articles on this platform are synthesized by Large Language Models in response to structured research parameters submitted by contributors — not written by humans, nor simple transformations of pasted text.
Contributors define the research intent, not the prompt. However, the ethical responsibility for that intent remains with the contributor.
Topic and description fields must not request or imply content that is defamatory, hateful, sexually explicit, or that promotes illegal activity.
Contributors may not use keyword or description fields to steer the AI toward generating disinformation, pseudoscience, or deliberately misleading narratives.
Do not include trade secrets, confidential data, or other non-public intellectual property in your idea description.
The review process is the core of our integrity model.
Reviewers evaluate each article in light of the discipline and intended audience specified by the idea originator, focusing on accuracy, coherence, and scholarly relevance.
The primary goal of review is to benchmark AI performance. Identifying and explaining errors is a constructive contribution to the dataset — not merely a critique of the text.
Latent Scholar uses a transparent Contributor-System-AI attribution model to ensure credit is assigned correctly.
Credited as the suggester, acknowledged for conceptualizing the topic — by name or anonymously.
Latent Scholar credited for prompt engineering & curatorial protocol — the backend conversion of ideas into optimized LLM instructions.
Generated text is explicitly attributed to the specific LLM used (GPT, Gemini, Claude).
Reviewers are credited for validation and commentary — by name or anonymously, based on their preference.
To maintain the integrity of the review process, contributors and reviewers must disclose any conflicts of interest.
Contributors should not submit ideas designed to validate their own prior work or to discredit specific competing scholars.
Reviewers must recuse themselves from articles where they have a personal, professional, or financial interest in the outcome of the evaluation.
Reviewer and contributor privacy is taken seriously. Attribution choices (named vs. anonymous) are respected and enforced at the platform level.
Name and institutional affiliation may appear on the published review if the reviewer opts in.
Reviewer identity is not disclosed to the public or to the idea originator. Anonymity is default and protected.
Certain categories of content are absolutely prohibited regardless of framing or academic intent.
Notice and Takedown: If an AI model produces content that breaches these standards despite our safeguards, Latent Scholar will act promptly to remediate. Report such content via our Contact Us page.
Latent Scholar reserves the right to moderate its corpus to preserve scientific integrity.
Consequences are governed by suspension and termination provisions in our Terms of Use Section 5.2.
(a) Violations of these standards may result in:
- Content removal or annotation
- Rejection of pending submissions
- Temporary or permanent account suspension
- Public notice of retraction
- Reporting to relevant academic institutions or professional bodies
- Legal action where appropriate
(b) Enforcement decisions are made in Latent Scholar LLC’s sole discretion and are final.
(c) Appeals: May be submitted to info@latentscholar.org within 30 days of an enforcement action. We will review appeals in good faith but are not obligated to reverse decisions.
Latent Scholar LLC does not endorse, warrant, or guarantee the accuracy, completeness, or fitness for any purpose of AI-generated content. The LLC is not liable for any claims, damages, or losses arising from reliance on such content. All liability limitations in our Terms of Use apply.
Reach Out About Our Ethical Standards
If you have questions about this charter, want to report a concern, or need to file an appeal, we’re here.