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06/09/2023
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Generative AI systems across modalities, ranging from text, image, audio...
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05/09/2023
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
The growing need for accountability of the people behind AI systems can ...
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03/20/2023
Stable Bias: Analyzing Societal Representations in Diffusion Models
As machine learning-enabled Text-to-Image (TTI) systems are becoming inc...
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03/07/2023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
As language models grow ever larger, the need for large-scale high-quali...
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12/09/2022
Measuring Data
We identify the task of measuring data to quantitatively characterize th...
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11/20/2022
The Stack: 3 TB of permissively licensed source code
Large Language Models (LLMs) play an ever-increasing role in the field o...
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10/06/2022
A Human Rights-Based Approach to Responsible AI
Research on fairness, accountability, transparency and ethics of AI-base...
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05/04/2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology
The recent emergence and adoption of Machine Learning technology, and sp...
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03/05/2021
Measuring Model Biases in the Absence of Ground Truth
Recent advances in computer vision have led to the development of image ...
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10/23/2020
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Rising concern for the societal implications of artificial intelligence ...
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02/09/2020
Diversity and Inclusion Metrics in Subset Selection
The ethical concept of fairness has recently been applied in machine lea...
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01/03/2020
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Rising concern for the societal implications of artificial intelligence ...
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01/03/2020
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Although essential to revealing biased performance, well intentioned att...
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10/09/2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
Data-driven statistical Natural Language Processing (NLP) techniques lev...
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08/01/2019
Interpreting Social Respect: A Normative Lens for ML Models
Machine learning is often viewed as an inherently value-neutral process:...
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06/14/2019
Detecting Bias with Generative Counterfactual Face Attribute Augmentation
We introduce a simple framework for identifying biases of a smiling attr...
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11/25/2018
50 Years of Test (Un)fairness: Lessons for Machine Learning
Quantitative definitions of what is unfair and what is fair have been in...
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10/05/2018
Model Cards for Model Reporting
Trained machine learning models are increasingly used to perform high-im...
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01/22/2018
Mitigating Unwanted Biases with Adversarial Learning
Machine learning is a tool for building models that accurately represent...
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12/10/2017
Multi-Task Learning for Mental Health using Social Media Text
We introduce initial groundwork for estimating suicide risk and mental h...
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12/01/2017
Improving Smiling Detection with Race and Gender Diversity
Recent progress in deep learning has been accompanied by a growing conce...
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11/07/2016
Memory-augmented Attention Modelling for Videos
We present a method to improve video description generation by modeling ...
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08/31/2016
Measuring Machine Intelligence Through Visual Question Answering
As machines have become more intelligent, there has been a renewed inter...
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04/13/2016
Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and ex...
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03/19/2016
Generating Natural Questions About an Image
There has been an explosion of work in the vision & language community d...
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12/22/2015
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
When human annotators are given a choice about what to label in an image...
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06/23/2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrins...
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06/23/2015
A Survey of Current Datasets for Vision and Language Research
Integrating vision and language has long been a dream in work on artific...
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06/22/2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
We present a novel response generation system that can be trained end to...
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05/07/2015
Language Models for Image Captioning: The Quirks and What Works
Two recent approaches have achieved state-of-the-art results in image ca...
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05/03/2015
VQA: Visual Question Answering
We propose the task of free-form and open-ended Visual Question Answerin...
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11/18/2014