SciSpace AcademyLevel: All levels · 6 lessons
Everything you need to use AI without risking your integrity: trust and evidence, hallucinated citations, AI detection, regulations, rigour and disclosure.
ENWhen SciSpace generates a research answer, verify it by separating extracted evidence, synthesis, inference, recommendation, and unknowns. Open the supporting sources, confirm that each exists and supports the claim, check methods and numbers, compare contradictory evidence, and label uncertainty before using the answer in research or decisions.
EN36 minWhen SciSpace or another AI system suggests a reference, confirm that the source exists and supports the claim before using it. Resolve the title, authors, venue, year, pages, and DOI in trusted records; open the source; check the relevant passage; and remove or correct any citation that is fabricated, mismatched, or irrelevant.
EN3 minUse SciSpace AI Detector as a screening signal, not proof of authorship or misconduct. Review flagged passages in context, compare them with drafts, sources, and citation patterns, consider false positives for formulaic or multilingual academic prose, and rely on transparent institutional procedures rather than a single detector score.
EN35 minWhen SciSpace is used in regulated research, obligations may come from law, institutional policy, ethics approval, funder terms, journal rules, and data agreements. Map the exact use case, data type, jurisdiction, decision impact, and required documentation before adoption, and keep a human accountable for approval and oversight.
ENUse SciSpace in academic research where it improves speed or consistency without obscuring methods, evidence, or accountability. Map its role across discovery, reading, analysis, and writing; protect sensitive data; verify outputs proportionately to risk; preserve researcher judgment; and disclose material use when required.
EN39 minProfessor Benita Olivier shows how to declare AI use at each stage of a real research workflow in SciSpace.
Why openly disclosing AI use protects your credibility, and how to stay accountable for every claim when AI supports your research.
EN45 minLearn which AI writing patterns raise red flags with grant and journal reviewers, and how to use AI while keeping your own voice.