Allison Koenecke

According to our database, Allison Koenecke authored at least 26 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

As Government Outsources More IT, Highly Skilled In-House Technologists Are More Essential.

Isabel Corpus, Eric Giannella, Allison Koenecke, Don Moynihan

Commun. ACM, July, 2025

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia.

Katelyn Xiaoying Mei, Anna Seo Gyeong Choi, Hilke Schellmann, Mona Sloane, Allison Koenecke

CoRR, June, 2025

Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems.

Jing Nathan Yan, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke

CoRR, May, 2025

Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification.

Allison Koenecke, Edward H. Stiglitz, David Mimno, Matthew Wilkens

CoRR, April, 2025

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese.

Hanjia Lyu, Jiebo Luo, Jian Kang, Allison Koenecke

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms.

Emma Harvey, René F. Kizilcec, Allison Koenecke

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments.

Jennah Gosciak, Aparna Balagopalan, Derek Ouyang, Allison Koenecke, Marzyeh Ghassemi, Daniel E. Ho

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Speech AI for All: Promoting Accessibility, Fairness, Inclusivity, and Equity.

Shaomei Wu, Kimi Wenzel, Jingjin Li, Qisheng Li, Alisha Pradhan, Raja Kushalnagar, Colin Lea, Allison Koenecke, Christian Vogler, Mark Hasegawa-Johnson, Norman Makoto Su, Nan Bernstein Ratner

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education.

Emma Harvey, Allison Koenecke, René F. Kizilcec

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Evaluating an AI Tutor for Bias Across Different Foundation Models.

Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, René F. Kizilcec

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation.

Wenyu Zhang, Wei En Ng, Lixin Ma, Yuwen Wang, Junqi Zhao, Allison Koenecke, Boyang Li, Wanglu Wanglu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Mitigating allocative tradeoffs and harms in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

Nat. Mac. Intell., 2024

Careless Whisper: Speech-to-Text Hallucination Harms.

Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Xiaoying Mei, Hilke Schellmann, Mona Sloane

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts.

Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.

Hammaad Adam, Fan Yin, Mary Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke

CoRR, 2023

Potential for allocative harm in an environmental justice data tool.

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf

CoRR, 2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.

Hammaad Adam, Fan Yin, Huibin Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness.

Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Augmented Datasheets for Speech Datasets and Ethical Decision-Making.

Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems.

Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.

J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson

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

2021

Federated Causal Inference in Heterogeneous Observational Data.

Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey

CoRR, 2021

2020

Racial disparities in automated speech recognition.

Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel

Proc. Natl. Acad. Sci. USA, 2020

Synthetic Data Generation for Economists.

Allison Koenecke, Hal R. Varian

CoRR, 2020

Learning Twitter User Sentiments on Climate Change with Limited Labeled Data.

Allison Koenecke, Jordi Feliu-Fabà

Proceedings of the Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020

2019

Curriculum Learning in Deep Neural Networks for Financial Forecasting.

Allison Koenecke, Amita Gajewar

Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019