The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
arXiv 2603.12463•8bd2800a93c766cb8686b3cb6e7911ca74d6b98a433661c9466514e9a3090343
api-keysbias-detectioncredential-leak-detectionexposed-credentialshuman-in-the-loopjavascript-securityllm-safetylocation-privacyprivacyprompt-transparencyresponsible-disclosuresecret-managementsupply-chain-riskweb-security
Paper metadata
- arXiv ID
- 2603.12463
- 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
- 8bd2800a93c766cb8686b3cb6e7911ca74d6b98a433661c9466514e9a3090343
- Enrichment time
- 2026-03-16T07:23:55Z
- AI-assisted enrichment
- Yes
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