Language Models Embody and Amplify Human Cognitive Distortions: What Is to Be Done?
arXiv 2607.20695•bd5b680311b2d55b4bcb5e8aaac9a306e59a80840f3a7d2300b2c47fb1c25adb
ai-audit-fundingai-generated-contentai-governanceai-safetyalgorithmic-biasauditingdecision-support-mldetectiondigital-safetyeducationgenai-in-educationglobal-southhealthcare-mlllm-biasmodel-deploymentquantizationresearch-workflowstechnology-facilitated-abusetransparencywhite-box-evidence
Paper metadata
- arXiv ID
- 2607.20695
- 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
- bd5b680311b2d55b4bcb5e8aaac9a306e59a80840f3a7d2300b2c47fb1c25adb
- Enrichment time
- 2026-07-24T07:23:53Z
- AI-assisted enrichment
- Yes
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