Cover Image

Moving beyond harm. A critical review of how NLP research approaches discrimination

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schulz, Katrin, Lanzing, Marjolein, Brenner, Giulia Martinez
Format:	Preprint
Published:	2025
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moving beyond Principles: Identifying Actionable AI Fairness Practices
by: Burtscher, Christoph, et al.
Published: (2026)

New world order, globalism and QAnon communities on Brazilian Telegram: how conspiracism opens doors to more harmful groups
by: Silva, Ergon Cugler de Moraes
Published: (2024)

AI, insurance, discrimination and unfair differentiation. An overview and research agenda
by: van Bekkum, Marvin S. L., et al.
Published: (2024)

Moving beyond privacy and airspace safety: Guidelines for just drones in policing
by: Dolata, Mateusz, et al.
Published: (2024)

A risk-based approach to assessing liability risk for AI-driven harms considering EU liability directive
by: Narayanan, Sundaraparipurnan, et al.
Published: (2023)

Lecturers' perspectives on the integration of research data management into teacher training programmes
by: Schulz, Sandra, et al.
Published: (2025)

(Un)fair devices: Moving beyond AI accuracy in personal sensing
by: Yfantidou, Sofia, et al.
Published: (2023)

Wikimedia data for AI: a review of Wikimedia datasets for NLP tasks and AI-assisted editing
by: Johnson, Isaac, et al.
Published: (2024)

Price discrimination, algorithmic decision-making, and European non-discrimination law
by: Borgesius, Frederik Zuiderveen
Published: (2025)

Responsible developments and networking research: a reflection beyond a paper ethical statement
by: Tuncer, Daphne, et al.
Published: (2024)

The why, what, and how of AI-based coding in scientific research
by: Zhuang, Tonghe, et al.
Published: (2024)

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

Potential for allocative harm in an environmental justice data tool
by: Huynh, Benjamin Q., et al.
Published: (2023)

Understanding engagement with platform safety technology for reducing exposure to online harms
by: Bright, Jonathan, et al.
Published: (2024)

A systematic review of research on large language models for computer programming education
by: Zhu, Meina, et al.
Published: (2025)

Moving beyond tokenism: Sustaining engagement of persons living with dementia in identifying emergency research priorities
by: Jacqueline Sandoval, et al.
Published: (2024)

Culture is Not Trivia: Sociocultural Theory for Cultural NLP
by: Zhou, Naitian, et al.
Published: (2025)

Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
by: Weber, Sabine, et al.
Published: (2026)

Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach
by: Oketch, Kezia, et al.
Published: (2025)

Game mechanics for cyber-harm awareness in the metaverse
by: McKenzie, Sophie, et al.
Published: (2025)

NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey
by: Goswami, Dhiman, et al.
Published: (2026)

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
by: Karamolegkou, Antonia, et al.
Published: (2025)

Large language models that replace human participants can harmfully misportray and flatten identity groups
by: Wang, Angelina, et al.
Published: (2024)

Algorithmic Tradeoffs, Applied NLP, and the State-of-the-Art Fallacy
by: Alvero, AJ, et al.
Published: (2025)

Strengthening legal protection against discrimination by algorithms and artificial intelligence
by: Borgesius, Frederik J. Zuiderveen
Published: (2025)

Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective
by: Zhang, Yiqun, et al.
Published: (2024)

Non-discrimination law in Europe: a primer for non-lawyers
by: Borgesius, Frederik Zuiderveen, et al.
Published: (2024)

Towards interactive evaluations for interaction harms in human-AI systems
by: Ibrahim, Lujain, et al.
Published: (2024)

Resistance Technologies: Moving Beyond Alternative Designs
by: Guirat, Iness Ben, et al.
Published: (2025)

Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
by: Tami, Mohammad, et al.
Published: (2024)

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

Characterizing and modeling harms from interactions with design patterns in AI interfaces
by: Ibrahim, Lujain, et al.
Published: (2024)

AI red-teaming is a sociotechnical problem: on values, labor, and harms
by: Gillespie, Tarleton, et al.
Published: (2024)

Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
by: Gajewska, Ewelina, et al.
Published: (2025)

From Parliamentary Rhetoric to Enacted Law: An NLP Pipeline for Semantic Auditing of the Greek Legislative Process
by: Antonakaki, Despoina, et al.
Published: (2026)

Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements
by: Karamolegkou, Antonia, et al.
Published: (2024)

A conceptual framework for ideology beyond the left and right
by: Joseph, Kenneth, et al.
Published: (2026)

Addressing Both Statistical and Causal Gender Fairness in NLP Models
by: Chen, Hannah, et al.
Published: (2024)

"You Cannot Sound Like GPT": Signs of language discrimination and resistance in computer science publishing
by: Lepp, Haley, et al.
Published: (2025)

Apocalypse, survivalism, occultism and esotericism communities on Brazilian Telegram: when faith is used to sell quantum courses and open doors to harmful conspiracy theories
by: Silva, Ergon Cugler de Moraes
Published: (2024)