Personalized AI Practice Replicates Learning Rate Regularity at Scale

arXiv 2604.03246•8005321d35f52e6eafae154b255c8ee717f9d286e5c848ed8a57253bfc149c91
ai-ethicsalgorithmic-biasdatasetsdeceptive-aidiffusion-modelsdigital-inclusivenessdr-frameworkeducation-technologyeu-ai-actgovernancellm-evaluationloramodel-fine-tuningopen-sourcepersonalized-learningpolicy-nlpprivacyreal-esrganrobot-rights

Paper metadata

arXiv ID
2604.03246
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
8005321d35f52e6eafae154b255c8ee717f9d286e5c848ed8a57253bfc149c91
Enrichment time
2026-04-07T07:23:50Z
AI-assisted enrichment
Yes

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Personalized AI Practice Replicates Learning Rate Regularity at Scale · Baitaphish