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

Author:

Bergin Daniel1ORCID,Oppegaard Brett1ORCID

Affiliation:

1. University of Hawaiʻi

Funder

National Endowment for the Humanities

National Park Service

Google

Publisher

Informa UK Limited

Reference48 articles.

1. Contextualizing the ethics of algorithms: A socio-professional approach

2. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922

3. Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity.

4. The Self: Measurement Requirements from an Interactionist Perspective

5. Conway M. Oppegaard B. Bullen M. Miguel A. & Brown-Ogilvie T. (2023). Describing people and portraits through audio description: Preferences of people who are blind low vision and deafblind (Research to practice paper). Helen Keller National Center.

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