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ORCIDAllison Koenecke
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2025
[j3]Isabel Corpus
, Eric Giannella, Allison Koenecke, Don Moynihan:
As Government Outsources More IT, Highly Skilled In-House Technologists Are More Essential. Commun. ACM 68(7): 37-40 (2025)- [c16]Wenyu Zhang, Wei En Ng, Lixin Ma, Yuwen Wang, Junqi Zhao, Allison Koenecke, Boyang Li, Wanglu Wanglu:
SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation. ACL (1) 2025: 11591-11609 - [c15]Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, René F. Kizilcec:
Evaluating an AI Tutor for Bias Across Different Foundation Models. AIED (6) 2025: 341-348 - [c14]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:
Speech AI for All: Promoting Accessibility, Fairness, Inclusivity, and Equity. CHI Extended Abstracts 2025: 801:1-801:6 - [c13]Emma Harvey, Allison Koenecke, René F. Kizilcec:
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education. CHI 2025: 1064:1-1064:19 - [c12]Jennah Gosciak, Aparna Balagopalan, Derek Ouyang, Allison Koenecke, Marzyeh Ghassemi, Daniel E. Ho:
Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments. FAccT 2025: 1843-1861 - [c11]Emma Harvey, René F. Kizilcec, Allison Koenecke:
A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms. FAccT 2025: 2025-2039 - [c10]Hanjia Lyu, Jiebo Luo, Jian Kang, Allison Koenecke:
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese. FAccT 2025: 2815-2846 - [i19]Emma Harvey, Allison Koenecke, René F. Kizilcec:
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education. CoRR abs/2502.14592 (2025) - [i18]Allison Koenecke, Edward H. Stiglitz, David Mimno, Matthew Wilkens:
Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification. CoRR abs/2504.01349 (2025) - [i17]Jing Nathan Yan, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke:
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems. CoRR abs/2505.19441 (2025) - [i16]Hanjia Lyu, Jiebo Luo, Jian Kang, Allison Koenecke:
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese. CoRR abs/2505.22645 (2025) - [i15]Emma Harvey, René F. Kizilcec, Allison Koenecke:
A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms. CoRR abs/2506.04419 (2025) - [i14]Katelyn Xiaoying Mei, Anna Seo Gyeong Choi, Hilke Schellmann, Mona Sloane, Allison Koenecke:
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia. CoRR abs/2506.08846 (2025) - [i13]Jennah Gosciak, Aparna Balagopalan, Derek Ouyang, Allison Koenecke, Marzyeh Ghassemi, Daniel E. Ho:
Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments. CoRR abs/2506.13735 (2025) - 2024
- [j2]Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf:
Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nat. Mac. Intell. 6(2): 187-194 (2024) - [c9]Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke:
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. AIES (1) 2024: 1556-1566 - [c8]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Xiaoying Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT 2024: 1672-1681 - [i12]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. CoRR abs/2402.08021 (2024) - [i11]Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke:
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. CoRR abs/2407.12500 (2024) - 2023
- [c7]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. FAccT 2023: 881-904 - [c6]Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke:
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. FAccT 2023: 1531-1552 - [c5]Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel:
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. ICWSM 2023: 494-506 - [c4]Hammaad Adam, Fan Yin, Huibin Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke:
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. NeurIPS 2023 - [i10]Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf:
Potential for allocative harm in an environmental justice data tool. CoRR abs/2304.05603 (2023) - [i9]Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel:
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. CoRR abs/2304.08530 (2023) - [i8]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Theodore Alexander Andrews, Rebecca Bourke, William Thong, Dora Zhao, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. CoRR abs/2305.04672 (2023) - [i7]Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke:
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. CoRR abs/2305.05917 (2023) - [i6]Hammaad Adam, Fan Yin, Mary Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke:
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. CoRR abs/2306.11839 (2023) - 2022
- [c3]J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson:
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. FAccT 2022: 799-813 - [i5]J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson:
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. CoRR abs/2205.07333 (2022) - 2021
- [i4]Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey:
Federated Causal Inference in Heterogeneous Observational Data. CoRR abs/2107.11732 (2021) - 2020
- [j1]Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel:
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117(14): 7684-7689 (2020) - [c2]Allison Koenecke, Jordi Feliu-Fabà:
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. ICWSM Workshops 2020 - [i3]Allison Koenecke, Hal R. Varian:
Synthetic Data Generation for Economists. CoRR abs/2011.01374 (2020)
2010 – 2019
- 2019
- [c1]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. MIDAS@PKDD 2019: 16-31 - [i2]Allison Koenecke, Jordi Feliu-Fabà:
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. CoRR abs/1904.07342 (2019) - [i1]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. CoRR abs/1904.12887 (2019)
Coauthor Index
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last updated on 2025-08-10 22:27 CEST by the dblp team
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