Missing-by-Design learns property-aware embeddings and uses saliency-driven Gaussian updates to produce machine-verifiable certificates that remove a chosen modality without full retraining.
Affective computing and emotional data: Challenges and implications in privacy regulations, the ai act, and ethics in large language models
2 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
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Proposes the AI Legal Specialist as a juridically autonomous professional profile required by global AI regulations, distinct from existing legal and compliance roles.
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Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
Missing-by-Design learns property-aware embeddings and uses saliency-driven Gaussian updates to produce machine-verifiable certificates that remove a chosen modality without full retraining.
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The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance
Proposes the AI Legal Specialist as a juridically autonomous professional profile required by global AI regulations, distinct from existing legal and compliance roles.