This paper proposes a five-dimension ethical design space for front-end biometric translation in sensor-fused health AI agents, including adaptive disclosure as a guardrail against hallucinations and biofeedback loops.
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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
VB-Score shows three major LLMs have severe failures in medical entity recognition and factual consistency, with 13.8% lower performance on chronic conditions affecting older and minority groups, indicating condition-based algorithmic discrimination.
SAGE normalizes personal sleep and activity sensor data into a structured layer that grounds LLM responses for improved sleep care personalization and trust.
citing papers explorer
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Front-End Ethics for Sensor-Fused Health Conversational Agents: An Ethical Design Space for Biometrics
This paper proposes a five-dimension ethical design space for front-end biometric translation in sensor-fused health AI agents, including adaptive disclosure as a guardrail against hallucinations and biofeedback loops.
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Beyond Semantic Similarity: A Component-Wise Evaluation Framework for Medical Question Answering Systems with Health Equity Implications
VB-Score shows three major LLMs have severe failures in medical entity recognition and factual consistency, with 13.8% lower performance on chronic conditions affecting older and minority groups, indicating condition-based algorithmic discrimination.
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SAGE: Sensor-Augmented Grounding Engine for LLM-Powered Sleep Care Agent
SAGE normalizes personal sleep and activity sensor data into a structured layer that grounds LLM responses for improved sleep care personalization and trust.