Daniel E. Ho

Orcid: 0000-0002-2195-5469

According to our database1, Daniel E. Ho authored at least 35 papers between 2019 and 2024.

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Bibliography

2024
How well do LLMs cite relevant medical references? An evaluation framework and analyses.
CoRR, 2024

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models.
CoRR, 2024

2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.
CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.
CoRR, 2023

SCALE: Scaling up the Complexity for Advanced Language Model Evaluation.
CoRR, 2023

MultiLegalPile: A 689GB Multilingual Legal Corpus.
CoRR, 2023

Potential for allocative harm in an environmental justice data tool.
CoRR, 2023

Estimating Racial Disparities When Race is Not Observed.
CoRR, 2023


How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Entropy Regularization for Population Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.
Nat. Mac. Intell., October, 2022

Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.
Nat. Mach. Intell., 2022

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning.
CoRR, 2022

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy.
Proceedings of the 2022 Symposium on Computer Science and Law, 2022

Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
A language-matching model to improve equity and efficiency of COVID-19 contact tracing.
Proc. Natl. Acad. Sci. USA, 2021

Beyond Ads: Sequential Decision-Making Algorithms in Public Policy.
CoRR, 2021

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits.
CoRR, 2021

On the Opportunities and Risks of Foundation Models.
CoRR, 2021

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset.
CoRR, 2021

Enhancing environmental enforcement with near real-time monitoring: Likelihood-based detection of structural expansion of intensive livestock farms.
Int. J. Appl. Earth Obs. Geoinformation, 2021

When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Context-aware legal citation recommendation using deep learning.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

2020
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness.
CoRR, 2020

2019
Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews.
Proceedings of the World Wide Web Conference, 2019


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