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09/15/2023
Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West
Large Language Models (LLMs), now used daily by millions of users, can e...
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08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
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07/31/2023
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Public figures receive a disproportionate amount of abuse on social medi...
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06/21/2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
We introduce VisoGender, a novel dataset for benchmarking gender bias in...
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05/24/2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Vision-language models are growing in popularity and public visibility t...
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05/22/2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
The generative AI revolution in recent years has been spurred by an expa...
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03/09/2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide ran...
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03/07/2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Online sexism is a widespread and harmful phenomenon. Automated tools ca...
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02/16/2023
Auditing large language models: a three-layered approach
The emergence of large language models (LLMs) represents a major advance...
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09/21/2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Annotating abusive language is expensive, logistically complex and creat...
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05/23/2022
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
The growing capability and availability of generative language models ha...
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04/29/2022
Handling and Presenting Harmful Text
Textual data can pose a risk of serious harm. These harms can be categor...
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03/22/2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Vision-language models can encode societal biases and stereotypes, but t...
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08/12/2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Detecting online hate is a complex task, and low-performing models have ...
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07/09/2021