Automating Media Accessibility: An Approach for Analyzing Audio Description Across Generative Artificial Intelligence Algorithms

Daniel Bergin University of Hawaii–West Oahu ; Brett Oppegaard University of Hawaii–West Oahu

Abstract

A surge in public availability of emerging GenAI-AD has brought back the promises of automated accessibility for people who cannot see or see well. This article tests those promises through a double-rendering method that asks GenAI-AD engines to describe a simple portrait of a person and then returns these generated texts into GenAI-AD engines for visualizations of what they earlier had described, revealing insights about GenAI efficacies, ethics, and biases.

Journal
Technical Communication Quarterly
Published
2025-04-03
DOI
10.1080/10572252.2024.2372771
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