Dept. Cognitive Science // 01

HUMAN
PERCEPTION
ENGINEERING

Decoding neural architectures to build ethical automated decision-making systems.

Professor Eleanor Vance

CURRENT_RESEARCH

Neural Networks

Adaptive Topology

Self-organizing maps in resource-constrained environments.

NSF Funded
AI Ethics

Algo. Accountability

Frameworks for auditing bias in large language models.

In Progress
HCI

HITL Systems

Improving trust calibration between operators and agents.

MIT Collab

SELECTED_WORKS

The Paradox of Automation: Cognitive Load in Semi-Autonomous Driving

Vance, E., & Chen, S.

2024 / J.AI.R PDF ->

Gradient Descent Strategies in Non-Convex Optimization

Rodriguez, M., Vance, E., & Smith, J.

2023 / NEURIPS PDF ->

Perceptual Binding in Synthetic Vision Systems

Vance, E.

2022 / COG.SCI PDF ->

TEACHING

Fall '24

CS 401: Intro to Machine Learning

Supervised and unsupervised learning techniques.

Spring '24

CS 305: Ethics in Computing

Social impact and philosophical frameworks.

Archived Materials →