Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities
S O'Connor, H Liu - AI & SOCIETY, 2024 - Springer
Across the world, artificial intelligence (AI) technologies are being more widely employed in
public sector decision-making and processes as a supposedly neutral and an efficient …
public sector decision-making and processes as a supposedly neutral and an efficient …
[HTML][HTML] Gender bias in transformers: A comprehensive review of detection and mitigation strategies
Gender bias in artificial intelligence (AI) has emerged as a pressing concern with profound
implications for individuals' lives. This paper presents a comprehensive survey that explores …
implications for individuals' lives. This paper presents a comprehensive survey that explores …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Fairness in large language models: A taxonomic survey
Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …
domains. However, despite their promising performance in numerous real-world …
A survey on gender bias in natural language processing
Language can be used as a means of reproducing and enforcing harmful stereotypes and
biases and has been analysed as such in numerous research. In this paper, we present a …
biases and has been analysed as such in numerous research. In this paper, we present a …
Seamless: Multilingual Expressive and Streaming Speech Translation
Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …
mediated communication feel seamless when compared to human-to-human dialogue. In …
Quantifying social biases in NLP: A generalization and empirical comparison of extrinsic fairness metrics
Measuring bias is key for better understanding and addressing unfairness in NLP/ML
models. This is often done via fairness metrics, which quantify the differences in a model's …
models. This is often done via fairness metrics, which quantify the differences in a model's …
Accelerating transformer inference for translation via parallel decoding
Autoregressive decoding limits the efficiency of transformers for Machine Translation (MT).
The community proposed specific network architectures and learning-based methods to …
The community proposed specific network architectures and learning-based methods to …
Theories of “gender” in nlp bias research
The rise of concern around Natural Language Processing (NLP) technologies containing
and perpetuating social biases has led to a rich and rapidly growing area of research …
and perpetuating social biases has led to a rich and rapidly growing area of research …
Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition
N Markl - Proceedings of the 2022 ACM Conference on Fairness …, 2022 - dl.acm.org
All language is characterised by variation which language users employ to construct
complex social identities and express social meaning. Like other machine learning …
complex social identities and express social meaning. Like other machine learning …