Ethics Framework
The foundation of impactful research is integrity. CuriousBees enforces a strict ethical framework aligned with global academic standards.
Academic Integrity
We strictly prohibit data falsification, fabrication, and misrepresentation. All data uploaded to the platform must represent genuine experimental or analytical results. Researchers are expected to maintain meticulous records of their methodologies.
Anti-Plagiarism
Originality is the core of academic contribution. CuriousBees workflows integrate with institutional plagiarism detection tools. Submitting another researcher's work, ideas, or language without proper citation is a severe violation.
Responsible AI Usage
While AI tools (including LLMs) can assist in drafting and data analysis, they must not replace the critical thinking of the researcher. All AI-generated content must be explicitly disclosed, and researchers remain solely responsible for the accuracy of their output.
Transparent Collaboration
Authorship must accurately reflect individual contributions. All collaborators who meaningfully contribute to a project must be credited, and ghost authorship or honorary authorship is prohibited.
Reporting Violations
If you suspect a violation of this Ethics Framework, it is your responsibility as a member of the academic community to report it to your Institutional Administrator or Research Supervisor immediately.