Maria De-Arteaga | DeepAI

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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...

0 Yunyi Li, et al. ∙

∙ 02/16/2023

Human-Centered Responsible Artificial Intelligence: Current Future Trends

In recent years, the CHI community has seen significant growth in resear...

0 Mohammad Tahaei, et al. ∙

∙ 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...

0 Soumyajit Gupta, et al. ∙

∙ 02/06/2023

Learning Complementary Policies for Human-AI Teams

Human-AI complementarity is important when neither the algorithm nor the...

0 Ruijiang Gao, et al. ∙

∙ 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...

0 Jakob Schoeffer, et al. ∙

∙ 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 ...

0 Kenneth Holstein, et al. ∙

∙ 07/22/2022

Algorithmic Fairness in Business Analytics: Directions for Research and Practice

The extensive adoption of business analytics (BA) has brought financial ...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Yunyi Li, et al. ∙

∙ 04/29/2022

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation

Effective human-AI collaboration requires a system design that provides ...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Terrence Neumann, et al. ∙

∙ 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...

0 Jakob Schoeffer, et al. ∙

∙ 08/25/2021

Social Norm Bias: Residual Harms of Fairness-Aware Algorithms

Many modern learning algorithms mitigate bias by enforcing fairness acro...

1 Myra Cheng, et al. ∙

∙ 07/19/2021

Diversity in Sociotechnical Machine Learning Systems

There has been a surge of recent interest in sociocultural diversity in ...

0 Sina Fazelpour, et al. ∙

∙ 05/22/2021

Human-AI Collaboration with Bandit Feedback

Human-machine complementarity is important when neither the algorithm no...

0 Ruijiang Gao, et al. ∙

∙ 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...

0 Nil-Jana Akpinar, et al. ∙

∙ 01/24/2021

Leveraging Expert Consistency to Improve Algorithmic Decision Support

Due to their promise of superior predictive power relative to human asse...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 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...

12 Alexey Romanov, et al. ∙

∙ 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...

36 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 12/20/2018

What are the biases in my word embedding?

This paper presents an algorithm for enumerating biases in word embeddin...

0 Nathaniel Swinger, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 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...

0 Maria De-Arteaga, et al. ∙

∙ 11/19/2015

Canonical Autocorrelation Analysis

We present an extension of sparse Canonical Correlation Analysis (CCA) d...

0 Maria De-Arteaga, et al. ∙

∙ 11/13/2015

Lass-0: sparse non-convex regression by local search

We compute approximate solutions to L0 regularized linear regression usi...

0 William Herlands, et al. ∙

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