AI After Hours: Healthcare Automation & Linguistic Fingerprinting

➡️ | An X Networking Initiative | Huntsville, Alabama

This session will feature two compelling discussions that tackle one central theme: trust in AI systems—how we build it, measure it, and scale it.

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Led by the AI Research Collaborative (ARC), AURA (Accessible Unified Research in AI) is redefining how healthcare systems leverage AI for quality measurement.

Healthcare providers today face enormous administrative burdens due to complex reporting requirements. AURA’s open-source initiative, MeasureAIde, is tackling this challenge head-on by transforming unstructured clinical data into structured, standardized formats for automated reporting.

Key highlights:

• Converting clinical notes into structured data using Named Entity Recognition (NER)
• Improving reliability through uncertainty quantification and confidence scoring
• Enabling adaptive learning via retrieval-augmented generation (RAG) feedback loops
• Building open, transparent, and trustworthy AI systems for healthcare

This is a rare opportunity to get an inside look at how AI is being designed to meet real-world clinical, regulatory, and trust challenges—while remaining open and community-driven.

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What if we could quantify trust just by analyzing how people speak or write?

Researchers at UAH are exploring exactly that through Linguistic Fingerprinting—a novel approach that uses LLM-generated sentence embeddings to predict latent psychological constructs like trust.

Instead of relying solely on traditional surveys, this method:

• Extracts patterns from qualitative responses using AI
• Identifies which dimensions of language correlate with trust
• Achieves significantly improved predictive accuracy compared to baseline models

Applications extend far beyond research:

• Human-AI interaction
• Workforce analytics
• Real-time sentiment and behavior modeling
• Trust calibration in autonomous systems

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From hospitals to human behavior, AI systems are only as valuable as they are trustworthy.

This session connects two domains—healthcare infrastructure and human cognition—to explore how:

• We can build AI systems people trust
• We can measure trust in real time
• And ultimately, how these capabilities converge to shape the next generation of intelligent systems

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• Location: Invention to Innovation Center (I²C), UAH
• Date: May 21
• Time: 5:30 PM – 7:30 PM

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• AI/ML practitioners
• Healthcare and health IT professionals
• Researchers and students
• Entrepreneurs and startup founders
• Anyone interested in the future of trustworthy AI

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Expect a relaxed, high-energy environment with:

• Engaging talks
• Interactive discussion
• Networking with Huntsville’s AI community

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• Contact [email protected]

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Host or Publisher UAH Invention to Innovation Center