Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction
arXiv 2606.18548•1c2486d3d03e350d11b89223a9093881902f2a6630cf942c20afb7b3fae53f16
AI ethicsChinaLLMsTikTokalgorithmic biascensorship circumventioncredit scoringdataset releaseeducationhealth misinformationlearning analyticsmisinformationmodel evaluationnetwork measurementpayment systems (Alipay)proxy servicesreject inferencereproductive healthselection biastrust
Paper metadata
- arXiv ID
- 2606.18548
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 1c2486d3d03e350d11b89223a9093881902f2a6630cf942c20afb7b3fae53f16
- Enrichment time
- 2026-06-18T07:23:50Z
- AI-assisted enrichment
- Yes
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