Maria De-Arteaga

Niklas Kühl

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Social norm bias: residual harms of fairness-aware algorithms.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., September, 2023

Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., April, 2023

A Critical Survey on Fairness Benefits of XAI.

[BibT_eX]

[DOI]

CoRR, 2023

Mitigating Label Bias via Decoupled Confident Learning.

[BibT_eX]

[DOI]

Yunyi Li

CoRR, 2023

Learning Complementary Policies for Human-AI Teams.

[BibT_eX]

[DOI]

Ruijiang Gao

CoRR, 2023

Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Human-Centered Responsible Artificial Intelligence: Current & Future Trends.

[BibT_eX]

[DOI]

Mohammad Tahaei

Marios Constantinides

Ilana Golbin Blumenfeld

Jessica Vitak

Alexandra Olteanu

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Diversity in sociotechnical machine learning systems.

[BibT_eX]

[DOI]

Sina Fazelpour

Big Data Soc., January, 2022

Algorithmic Fairness in Business Analytics: Directions for Research and Practice.

[BibT_eX]

[DOI]

Stefan Feuerriegel

CoRR, 2022

More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias.

[BibT_eX]

[DOI]

Yunyi Li

CoRR, 2022

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

On the Relationship Between Explanations, Fairness Perceptions, and Decisions.

[BibT_eX]

[DOI]

Jakob Schoeffer

Niklas Kühl

CoRR, 2022

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2022

When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias.

[BibT_eX]

[DOI]

Yunyi Li

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms.

[BibT_eX]

[DOI]

Terrence Neumann

Sina Fazelpour

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Leveraging Expert Consistency to Improve Algorithmic Decision Support.

[BibT_eX]

[DOI]

CoRR, 2021

Human-AI Collaboration with Bandit Feedback.

[BibT_eX]

[DOI]

Ruijiang Gao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

The effect of differential victim crime reporting on predictive policing systems.

[BibT_eX]

[DOI]

Nil-Jana Akpinar

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D.

[BibT_eX]

[DOI]

Tejumade Afonja

Amanda Coston

CoRR, 2020

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores.

[BibT_eX]

[DOI]

Riccardo Fogliato

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism.

[BibT_eX]

[DOI]

Benedikt Boecking

CoRR, 2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.

[BibT_eX]

[DOI]

Sahin Cem Geyik

Krishnaram Kenthapadi

Anna Rumshisky

Adam Kalai

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting.

[BibT_eX]

[DOI]

Sahin Cem Geyik

Krishnaram Kenthapadi

Adam Tauman Kalai

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

What are the Biases in My Word Embedding?

[BibT_eX]

[DOI]

Nathaniel Swinger

Neil Thomas Heffernan IV

Mark D. M. Leiserson

Adam Tauman Kalai

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Machine Learning for the Developing World.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2018

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact.

[BibT_eX]

[DOI]

Amanda Coston

William Herlands

CoRR, 2018

Learning under selective labels in the presence of expert consistency.

[BibT_eX]

[DOI]

CoRR, 2018

2015

Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2015

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2015

Canonical Autocorrelation Analysis.

[BibT_eX]

[DOI]