Early-Warning for Generative AI Risks in Higher Education: An Integrated Analytical Model
Keywords:
Generative Artificial Intelligence, Higher Education, Risk Assessment, Early Warning System, Academic Integrity, Ethical AI, Educational TechnologyAbstract
The integration of generative artificial intelligence (GAI) into higher education presents transformative opportunities alongside unprecedented risks that demand systematic analysis and proactive governance. This study develops a comprehensive risk assessment framework and early warning mechanism for GAI implementation in academic environments through mixed-methods research. We identify four primary risk categories: pedagogical risks comprising academic integrity erosion and critical thinking degradation; technical risks including algorithmic bias and model hallucination; ethical risks involving data privacy violations and intellectual property conflicts; and systemic risks encompassing educational equity deterioration and faculty role transformation. The research establishes a multidimensional monitoring system incorporating natural language processing for plagiarism pattern recognition, learning analytics for performance trajectory tracking, and sentiment analysis for stakeholder perception mapping. Our proposed early warning mechanism employs machine learning algorithms to process multimodal institutional data, generating real-time risk indicators with three-tier alert thresholds. Validation through case studies across three university contexts demonstrates 89.3% accuracy in predicting academic misconduct incidents and 76.8% effectiveness in identifying emerging educational disparities. The study further proposes mitigation strategies including AI literacy frameworks, adaptive assessment redesign, and ethics-by-design implementation protocols. This research provides institutions with a actionable framework for harnessing GAI's benefits while maintaining educational quality and integrity, representing significant advancement in educational technology risk management.
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