Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations
The transformative potential of large language models (LLMs) in education, such as improving accessibility and personalized learning, is being eclipsed by significant challenges. These challenges stem from concerns that LLMs undermine academic assessment by enabling bypassing of critical thinking, leading to increased cognitive offloading. This emerging trend stresses the dual imperative of harnessing AI's educational benefits while safeguarding critical thinking and academic rigor in the evolving AI ecosystem. To this end, we introduce AI-Sinkhole, an AI-agent augmented DNS-based framework that dynamically discovers, semantically classifies, and temporarily network-wide blocks emerging L...
| Authors | Yonas Kassa, James Bonacci, Ping Wang |
|---|---|
| Primary category | cs.NI |
| Published | 20 March 2026 |
| Last updated at source | 20 March 2026 |
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