LLM-based uncertainty assessment of social media situational signals for crisis reporting
2026-05-05T07:23:55Z•36ec55c3bf4d7877d7a75faa6a2c0f574a7d8766fba477d06763327e62c7e46f
AI governanceAI riskASI moratoriumEU AI ActLLM uncertaintyUSGS PAGERcarbon accountingcontent moderation personalization','multi-agent systems','democcrisis responsecritical infrastructuredigital workflowsenvironmental impactepistemic monocultureforecasting biasgenerative AIjob skillslabor marketmodel-development costpermit-to-workrailway safetyreinforcement learningsituational awarenesssmart citiessocial mediasuperintelligence
What happened
Collection of new arXiv CS-CY papers (published 2026-05-05) spanning AI systems, governance, and sustainability. Key contributions include: an LLM-based uncertainty-aware pipeline for social-media situational reporting using USGS PAGER as an external proxy; a modular digital management system for railway workshop safety and permit-to-work digitization; an empirical analysis of generative-AI impacts on job postings and skills; evidence of highly correlated forecasting errors across major LLMs (epistemic monoculture); a governance architecture (AgentGov-SC) addressing accountability gaps where E
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 36ec55c3bf4d7877d7a75faa6a2c0f574a7d8766fba477d06763327e62c7e46f
- Enrichment time
- 2026-05-05T07:23:55Z
- AI-assisted enrichment
- Yes
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