Cover Image

A Capabilities Approach to Studying Bias and Harm in Language Technologies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nigatu, Hellina Hailu, Talat, Zeerak
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploitation All the Way Down: Calling out the Root Cause of Bad Online Experiences for Users of the "Majority World"
by: Nigatu, Hellina Hailu, et al.
Published: (2024)

Impoverished Language Technology: The Lack of (Social) Class in NLP
by: Curry, Amanda Cercas, et al.
Published: (2024)

Low-resourced Languages and Online Knowledge Repositories: A Need-Finding Study
by: Nigatu, Hellina Hailu, et al.
Published: (2024)

Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
by: Nigatu, Hellina Hailu, et al.
Published: (2025)

Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
by: Curry, Amanda Cercas, et al.
Published: (2024)

"I Searched for a Religious Song in Amharic and Got Sexual Content Instead": Investigating Online Harm in Low-Resourced Languages on YouTube
by: Nigatu, Hellina Hailu, et al.
Published: (2024)

Understanding "Democratization" in NLP and ML Research
by: Subramonian, Arjun, et al.
Published: (2024)

The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
by: Fleisig, Eve, et al.
Published: (2024)

The Zeno's Paradox of `Low-Resource' Languages
by: Nigatu, Hellina Hailu, et al.
Published: (2024)

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages
by: Nigatu, Hellina Hailu, et al.
Published: (2025)

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
by: Ungless, Eddie L., et al.
Published: (2024)

Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
by: Dorn, Rebecca, et al.
Published: (2024)

Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
by: Bonagiri, Akash, et al.
Published: (2025)

Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
by: Kaneko, Masahiro, et al.
Published: (2025)

Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
by: Cyberey, Hannah, et al.
Published: (2024)

Unrequited Emotions: Investigating the Gaps in Motivation and Practice in Speech Emotion Recognition Research
by: Wong, Taryn, et al.
Published: (2026)

Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon
by: Koto, Fajri, et al.
Published: (2024)

The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation
by: Zhou, Yuhang, et al.
Published: (2025)

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
by: Chehbouni, Khaoula, et al.
Published: (2024)

A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
by: Nigatu, Hellina Hailu, et al.
Published: (2025)

Classist Tools: Social Class Correlates with Performance in NLP
by: Curry, Amanda Cercas, et al.
Published: (2024)

Deep Learning Based Amharic Chatbot for FAQs in Universities
by: Hailu, Goitom Ybrah, et al.
Published: (2024)

A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
by: Cesaroni, Valeria, et al.
Published: (2025)

Red Lines and Grey Zones in the Fog of War: Benchmarking Legal Risk, Moral Harm, and Regional Bias in Large Language Model Military Decision-Making
by: Drinkall, Toby
Published: (2025)

Careless Whisper: Speech-to-Text Hallucination Harms
by: Koenecke, Allison, et al.
Published: (2024)

AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment
by: Li, Kun, et al.
Published: (2025)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
by: Pfohl, Stephen R., et al.
Published: (2024)

What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
by: Kanepajs, Arturs, et al.
Published: (2025)

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
by: Sen, Indira, et al.
Published: (2023)

Characterizing Selective Refusal Bias in Large Language Models
by: Khorramrouz, Adel, et al.
Published: (2025)

Gender Bias in Emotion Recognition by Large Language Models
by: Herbert, Maureen, et al.
Published: (2025)

Theories of "Sexuality" in Natural Language Processing Bias Research
by: Hobbs, Jacob
Published: (2025)

Gender Bias Detection in Court Decisions: A Brazilian Case Study
by: Benatti, Raysa, et al.
Published: (2024)

Taxonomizing Representational Harms using Speech Act Theory
by: Corvi, Emily, et al.
Published: (2025)

LLM-based Semantic Augmentation for Harmful Content Detection
by: Meguellati, Elyas, et al.
Published: (2025)

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
by: Li, Jing-Jing, et al.
Published: (2026)

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM
by: Zhang, Chi, et al.
Published: (2025)

Measuring Implicit Bias in Explicitly Unbiased Large Language Models
by: Bai, Xuechunzi, et al.
Published: (2024)

On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
by: Hagendorff, Thilo
Published: (2025)

Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
by: Derner, Erik, et al.
Published: (2024)