The robustness and flexibility of human language is underpinned by a machinery of
interactive repair. Repair is deeply intertwined with two core properties of human language …

Examinations of intersectionality and identity dimensions in accessibility research have
primarily considered disability separately from a person's race and ethnicity. Accessibility …

Digital forms help us access services and opportunities, but they are not equally accessible
to everyone, such as older adults or those with sensory impairments. Large language …

Voice assistants' inability to serve people-of-color and non-native English speakers has
largely been documented as a quality-of-service harm. However, little work has investigated …

We take a critical lens toward the pursuit of racially inclusive language technologies and
identify several areas necessitating future work. We discuss the potential harms of …

In this thesis, I situate the impacts of automatic speech recognition systems in relation to
sociolinguistic theory (in particular drawing on concepts of language variation, language …

Underperformance of ASR systems for speakers of African American Vernacular English
(AAVE) and other marginalized language varieties is a well-documented phenomenon, and …

The ethics of artificial intelligence (AI) systems has risen as an imminent concern across
scholarly communities. This concern has propagated a great interest in algorithmic fairness …

In this paper, we present a bias and sustainability focused investigation of Automatic Speech
Recognition (ASR) systems, namely Whisper and Massively Multilingual Speech (MMS) …

Despite the widespread adoption of Automatic Speech Recognition (ASR) models in voice-
operated products and conversational AI agents, current ASR models perform poorly for …