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07/18/2023
Mitigating Label Bias via Decoupled Confident Learning
Growing concerns regarding algorithmic fairness have led to a surge in m...
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02/16/2023
Human-Centered Responsible Artificial Intelligence: Current Future Trends
In recent years, the CHI community has seen significant growth in resear...
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02/14/2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
Algorithmic bias often arises as a result of differential subgroup valid...
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02/06/2023
Learning Complementary Policies for Human-AI Teams
Human-AI complementarity is important when neither the algorithm nor the...
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09/23/2022
On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Explanations have been framed as an essential feature for better and fai...
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07/28/2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
In many real world contexts, successful human-AI collaboration requires ...
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07/22/2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
The extensive adoption of business analytics (BA) has brought financial ...
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07/15/2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
An increased awareness concerning risks of algorithmic bias has driven a...
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04/29/2022
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation
Effective human-AI collaboration requires a system design that provides ...
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04/28/2022
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Faced with the scale and surge of misinformation on social media, many p...
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04/27/2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions
It is known that recommendations of AI-based systems can be incorrect or...
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08/25/2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
Many modern learning algorithms mitigate bias by enforcing fairness acro...
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07/19/2021
Diversity in Sociotechnical Machine Learning Systems
There has been a surge of recent interest in sociocultural diversity in ...
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05/22/2021
Human-AI Collaboration with Bandit Feedback
Human-machine complementarity is important when neither the algorithm no...
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01/30/2021
The effect of differential victim crime reporting on predictive policing systems
Police departments around the world have been experimenting with forms o...
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01/24/2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support
Due to their promise of superior predictive power relative to human asse...
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02/19/2020
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
The increased use of algorithmic predictions in sensitive domains has be...
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01/01/2020
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
This is the proceedings of the 3rd ML4D workshop which was help in Vanco...
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06/19/2019
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism
After the peace agreement of 2016 with FARC, the killings of social lead...
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04/10/2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
There is a growing body of work that proposes methods for mitigating bia...
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01/27/2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
We present a large-scale study of gender bias in occupation classificati...
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12/21/2018
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact
This is the Proceedings of NeurIPS 2018 Workshop on Machine Learning for...
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12/20/2018
What are the biases in my word embedding?
This paper presents an algorithm for enumerating biases in word embeddin...
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07/02/2018
Learning under selective labels in the presence of expert consistency
We explore the problem of learning under selective labels in the context...
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11/27/2017
Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World
This is the Proceedings of NIPS 2017 Workshop on Machine Learning for th...
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11/17/2017
Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador
When sexual violence is a product of organized crime or social imaginary...
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11/19/2015
Canonical Autocorrelation Analysis
We present an extension of sparse Canonical Correlation Analysis (CCA) d...
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11/13/2015
