Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?

2026-05-28T07:23:54Z2e1f0d2c2270cfff47051015d6b4e9e39c531204aa5d77959d8bd6b8f74b0892
AI governanceAI literacyLLM-generated dataVAEacademic integrityagentic AIcapability erosionconcept bottleneck modelseducationexplainable AIgenerative AIgenetic algorithmgrading automationhuman-AI collaborationhybrid human-AI systemslabor substitutionpolicy simulationpopulation synthesisprivacy riskreplicabilitysynthetic data

What happened

Collection of recent arXiv papers (May 28, 2026) exploring societal, governance, pedagogical, and methodological implications of rapidly deploying AI and LLMs. Key themes: (1) agentic literacy debt — a structural societal deficit when autonomous/agentic AI is deployed without governance, accountability, or user literacy (implications for healthcare, finance, equity); (2) methods for AI policy prioritization using participatory evaluation, expert cost assessment, LLM-based harm estimates and genetic-algorithm simulation to surface viable policy mixes; (3) human–AI hybrid prediction markets that

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
2e1f0d2c2270cfff47051015d6b4e9e39c531204aa5d77959d8bd6b8f74b0892
Enrichment time
2026-05-28T07:23:54Z
AI-assisted enrichment
Yes

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.