Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …
practitioners to better anticipate consequences of the systems they build. It also supports the …
Beyond accuracy: a critical review of fairness in machine learning for mobile and wearable computing
The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …
[HTML][HTML] Advancing algorithmic bias management capabilities in AI-driven marketing analytics research
Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …
marketing programs, and marketing strategies in industrial markets. However, algorithms …
[HTML][HTML] Enhancing speech emotion recognition using dual feature extraction encoders
I Pulatov, R Oteniyazov, F Makhmudov, YI Cho - Sensors, 2023 - mdpi.com
Understanding and identifying emotional cues in human speech is a crucial aspect of
human–computer communication. The application of computer technology in dissecting and …
human–computer communication. The application of computer technology in dissecting and …
Should We Ban English NLP for a Year?
A Søgaard - Proceedings of the 2022 Conference on Empirical …, 2022 - aclanthology.org
Around two thirds of NLP research at top venues is devoted exclusively to developing
technology for speakers of English, most speech data comes from young urban speakers …
technology for speakers of English, most speech data comes from young urban speakers …
Serengeti: Massively multilingual language models for africa
Multilingual pretrained language models (mPLMs) acquire valuable, generalizable linguistic
information during pretraining and have advanced the state of the art on task-specific …
information during pretraining and have advanced the state of the art on task-specific …
[PDF][PDF] Identifying sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
Momentum among practitioners has led to the development of practices to better identify and
minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …
minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …
The edinburgh international accents of english corpus: Towards the democratization of english asr
English is the most widely spoken language in the world, used daily by millions of people as
a first or second language in many different contexts. As a result, there are many varieties of …
a first or second language in many different contexts. As a result, there are many varieties of …
Working at the intersection of race, disability and accessibility
Examinations of intersectionality and identity dimensions in accessibility research have
primarily considered disability separately from a person's race and ethnicity. Accessibility …
primarily considered disability separately from a person's race and ethnicity. Accessibility …
Global performance disparities between English-language accents in automatic speech recognition
A DiChristofano, H Shuster, S Chandra… - arXiv preprint arXiv …, 2022 - arxiv.org
Past research has identified discriminatory automatic speech recognition (ASR)
performance as a function of the racial group and nationality of the speaker. In this paper, we …
performance as a function of the racial group and nationality of the speaker. In this paper, we …