Cognitive Science

Human
Perception
Engineering

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

Professor Eleanor Rigby
Current Work

Research Focus

Neural Networks

Adaptive Topology

Self-organizing maps in resource-constrained environments.

NSF Funded
AI Ethics

Algorithmic Accountability

Frameworks for auditing bias in large language models.

In Progress
HCI

Human-in-the-Loop Systems

Improving trust calibration between operators and agents.

MIT Collaboration
Contributions

Selected Works

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

Rigby, E., & Chen, S.

2024 · J.AI.R View

Gradient Descent Strategies in Non-Convex Optimization

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

2023 · NeurIPS View

Perceptual Binding in Synthetic Vision Systems

Rigby, E.

2022 · Cog.Sci View
Education

Teaching

Fall 2024

CS 401: Introduction to Machine Learning

Supervised and unsupervised learning techniques.

Spring 2024

CS 305: Ethics in Computing

Social impact and philosophical frameworks.

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