Emma Harvey & Thalia Viranda
Cornell Tech
"Data Annotation as Measurement" & "When AI Becomes a Care Actor: Evidence-Based Personalization and Privacy in Voice-Based AI for Older Adults"
Abstract
"Data Annotation as Measurement": The creation and evaluation of modern AI systems depends on annotated data. But what happens when annotated data is wrong? In this talk, I will explore how problems can arise during data annotation processes and suggest opportunities for improving data annotation that draw on measurement theory. — Emma Harvey
About
Emma Harvey is a PhD student in Information Science at Cornell Tech advised by Allison Koenecke and Rene Kizilcec. She is interested in practical and interdisciplinary approaches for assessing and improving the fairness of sociotechnical systems, particularly through the lens of algorithm auditing. As a DLI Doctoral Fellow, she hopes to explore the ways that data and data annotations encode assumptions that shape the creation and assessment of modern AI and ML systems.
Thalia Viranda is a PhD student in Information Science at Cornell Tech, advised by Prof. Tanzeem Choudhury. Thalia’s work bridges human–computer interaction, ubiquitous computing, and clinical psychology. She designs and evaluates sensor- and LLM-based tools to enhance evidence-based treatments for older adults with cognitive impairment and adolescents with eating disorders, and to support collaboration among patients, caregivers, and clinicians.