Subbarao Kambhampati

A Systematic Study on Quantifying Bias in GAN-Augmented Data

Finding a quantitative measure to evaluate biases in AI-augmented datasets will help keep AI responsible by preventing bias exacerbation.

Program: FURI

A Systematic Study on Quantifying Bias in GAN-Augmented Headshot Data

Finding a quantitative measure to evaluate biases in AI-augmented datasets will help keep AI responsible.

Program: FURI

Iterative Strength Training with Generative Adversarial Neural Networks

Program: FURI

What’s up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants

Program: FURI