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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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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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12/22/2019
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
A growing body of work shows that many problems in fairness, accountabil...
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08/08/2019
Oxford Handbook on AI Ethics Book Chapter on Race and Gender
From massive face-recognition-based surveillance and machine-learning-ba...
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08/08/2019
iCassava 2019Fine-Grained Visual Categorization Challenge
Viral diseases are major sources of poor yields for cassava, the 2nd lar...
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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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10/05/2018
Model Cards for Model Reporting
Trained machine learning models are increasingly used to perform high-im...
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03/23/2018
Datasheets for Datasets
Currently there is no standard way to identify how a dataset was created...
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09/07/2017
Scalable Annotation of Fine-Grained Categories Without Experts
We present a crowdsourcing workflow to collect image annotations for vis...
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09/07/2017
Fine-Grained Car Detection for Visual Census Estimation
Targeted socioeconomic policies require an accurate understanding of a c...
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09/07/2017
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
While fine-grained object recognition is an important problem in compute...
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02/22/2017
