Curriculum Learning in Deep Neural Networks for Financial Forecasting. - Allison Koenecke; Amita Gajewar (MIDAS@PKDD, 2019)

Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. - Allison Koenecke; Jordi Feliu-Fabà (ICWSM Workshops, 2020)

Synthetic Data Generation for Economists. - Allison Koenecke; Hal R. Varian (CoRR, 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)

Federated Causal Inference in Heterogeneous Observational Data. - Ruoxuan Xiong; Allison Koenecke; Michael A. Powell; Zhu Shen; Joshua T. Vogelstein; Susan Athey (CoRR, 2021)

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. - J. D. Zamfirescu-Pereira; Jerry Chen; Emily Wen; Allison Koenecke; Nikhil Garg 001; Emma Pierson (FAccT, 2022)

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 (FAccT, 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 (FAccT, 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 (ICWSM, 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 (NeurIPS, 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; Mary Hu; Neil A. Tenenholtz; Lorin Crawford; Lester Mackey; Allison Koenecke (CoRR, 2023)

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 (AIES (1), 2024)

Careless Whisper: Speech-to-Text Hallucination Harms. - Allison Koenecke; Anna Seo Gyeong Choi; Katelyn Xiaoying Mei; Hilke Schellmann; Mona Sloane (FAccT, 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)

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 (ACL (1), 2025)

Evaluating an AI Tutor for Bias Across Different Foundation Models. - Aditya Vinodh; Emma Harvey; Husni Almoubayyed; Renzhe Yu; Christopher Brooks 001; Allison Koenecke; René F. Kizilcec (AIED (6), 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 (CHI, 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 (CHI Extended Abstracts, 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 (FAccT, 2025)

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms. - Emma Harvey; René F. Kizilcec; Allison Koenecke (FAccT, 2025)

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese. - Hanjia Lyu; Jiebo Luo 001; Jian Kang 008; Allison Koenecke (FAccT, 2025)

Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification. - Allison Koenecke; Edward H. Stiglitz; David Mimno; Matthew Wilkens (CoRR, 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, 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, 2025)

As Government Outsources More IT, Highly Skilled In-House Technologists Are More Essential. - Isabel Corpus; Eric Giannella; Allison Koenecke; Don Moynihan (Commun. ACM, 2025)