Token Taxes: mitigating AGI's economic risks
2026-03-06T07:23:56Z•ad1942fa4b1ac5e3a8e6cde14e0c3b3ef0c05d6b934606cb5d1bd3c94cc6d834
AGI economic riskAI governanceFLOP taxLLM adoptionRAG (retrieval-augmented generation)Terms of Serviceanonymized resumesaudit pipelinebias amplificationcompute governanceconsent evaluationdemographic proxieseconomic policyexplainabilityhiring biasinterface designlegal educationopen-weight models','local deployment','Stan course assistant','pose detectionprivacy-preserving video analyticspublic-space surveillancesemantic transparencytextual accessibilitytoken taxuser training
What happened
A multi-paper arXiv feed covering recent work in AI governance, privacy, fairness, and applied LLM systems. Key contributions include: a proposal for "token taxes" as a usage-based, enforceable levy on model inference to mitigate AGI-driven economic risks (with an audit pipeline and comparisons to FLOP taxes); a privacy-preserving case study for AI-assisted video analytics in public markets; a three-dimensional framework for evaluating consent disclosures in social media Terms of Service; evidence that short training sessions increase GenAI adoption and improve performance in legal students; a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- ad1942fa4b1ac5e3a8e6cde14e0c3b3ef0c05d6b934606cb5d1bd3c94cc6d834
- Enrichment time
- 2026-03-06T07:23:56Z
- AI-assisted enrichment
- Yes
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