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Concurrent

AI, Generative Models, & Human Collaboration

Thu, Oct 29, 11:45 AM - 1:15 PM

4 Abstracts

Comparing High School Students’ Engagement with Image-Based and Sound-Based Data for Training Machine Learning Models

Nigar Altindis (University of Alabama)

Co-authors: Chris Crawford (University of Alabama), Sevgi Zubeyde Gurbuz (North Caroline State University)

Machine learning Data science High School Student

Noise-Resilient Time-Series Forecasting via Generative Residual Learning

Chathurika Abeykoon (Rhodes College)

Time series forecasting generative modeling residual learning robust regression

The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration

Imene Goumiri (Real Good AI)

Rating system Generative artificial intelligence

Automating Injustice: The Real-World Consequences of Algorithmic Bias in Predictive Policing

Co-authors: Fareeza Ali (Georgetown University), Purna Gamage (Georgetown University), Ishika Gobin (Georgetown University), Jackson Howes (Georgetown University)

artificial intelligence AI algorithmic bias bias biased data data time series deep learning machine learning

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