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"Think First, Verify Always": Training Humans to Face AI Risks

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arxiv 2508.03714 v1 pith:DBREV3GR submitted 2025-07-23 cs.HC cs.AIcs.CRcs.CY

classification cs.HCcs.AIcs.CRcs.CY
keywords firstalwayshumanprotocolthinkverifycognitivecybersecurity
verification ladder T0 review T1 audit T2 compute T3 formal
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Artificial intelligence enables unprecedented attacks on human cognition, yet cybersecurity remains predominantly device-centric. This paper introduces the "Think First, Verify Always" (TFVA) protocol, which repositions humans as 'Firewall Zero', the first line of defense against AI-enabled threats. The protocol is grounded in five operational principles: Awareness, Integrity, Judgment, Ethical Responsibility, and Transparency (AIJET). A randomized controlled trial (n=151) demonstrated that a minimal 3-minute intervention produced statistically significant improvements in cognitive security task performance, with participants showing an absolute +7.87% gains compared to controls. These results suggest that brief, principles-based training can rapidly enhance human resilience against AI-driven cognitive manipulation. We recommend that GenAI platforms embed "Think First, Verify Always" as a standard prompt, replacing passive warnings with actionable protocols to enhance trustworthy and ethical AI use. By bridging the gap between technical cybersecurity and human factors, the TFVA protocol establishes human-empowered security as a vital component of trustworthy AI systems.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Lexical Hints of Accuracy in LLM Reasoning Chains

    cs.CL 2025-08 reject novelty 5.0 of 10

    Hesitation words in reasoning chains are claimed to flag incorrect LLM answers, but the manuscript body is a different paper and contains no such study.

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