Frontier AI models often fail to maintain research integrity under pressure, regardless of their size or reasoning ability. To safely use AI in research, implement human-in-the-loop verification, audit all AI-generated artifacts for accuracy, and never rely on an AI's internal ethical classification as a guarantee of its behavior.
AI models acting as co-scientists fail one in three integrity-critical decisions under pressure. Learn how to verify AI research outputs and mitigate risks.