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Integrity-first AI for scientific work
AI can accelerate research workflows. It cannot own authorship, ethics, or truth. SciIntel’s stance: assistive intelligence with accountable humans.
SciIntel5 min read
Journals, funders, and institutions are clarifying expectations for AI use. The common thread is accountability: authors remain responsible for claims, citations, and originality.
What integrity-first looks like in practice
- AI outputs treated as drafts requiring expert review
- Citations and evidence kept inspectable
- Clear separation between human consulting judgment and platform assistance
- Workflows that support disclosure where required
ResearchAI’s integrity-oriented surfaces exist to support responsible use — not to replace scholarly standards. Consulting engagements reinforce the same principle: speed without sacrificing scientific credibility.