AI Researchers' Views on Automating AI R&D and Intelligence Explosions
arXiv 2603.03338•0cb2e02bdc9bf733d4ef879d470656881908fff3320d96bbb27e9b474703c6a7
AI R&D automationAI governanceAMAGFMLOpsTAIPagentic AIcontinuous assurancedigital inclusioneducation AIepistemic agencyexplainabilityfairnesshealthcare AI reproducibilityintelligence explosionmetrics and measurementoffline LLMsrecursive self-improvementvoting algorithm robustness
Paper metadata
- arXiv ID
- 2603.03338
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- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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- Source ID
- arxiv_cs_cy
- Record identifier
- 0cb2e02bdc9bf733d4ef879d470656881908fff3320d96bbb27e9b474703c6a7
- Enrichment time
- 2026-03-05T07:23:57Z
- AI-assisted enrichment
- Yes
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