Hoda Heidari

CoRR, 2023

Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.

[BibT_eX]

[DOI]

CoRR, 2023

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Informational Diversity and Affinity Bias in Team Growth Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.

[BibT_eX]

[DOI]

Michael Feffer

Nikolas Martelaro

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Moral Machine or Tyranny of the Majority?

[BibT_eX]

[DOI]

Michael Feffer

Zachary C. Lipton

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On modeling human perceptions of allocation policies with uncertain outcomes.

[BibT_eX]

[DOI]

SIGecom Exch., July, 2022

A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2022

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Bayesian Persuasion for Algorithmic Recourse.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract).

[BibT_eX]

[DOI]

Jon M. Kleinberg

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects.

[BibT_eX]

[DOI]

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

2021

Stateful Strategic Regression.

[BibT_eX]

[DOI]

Keegan Harris

Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Addressing the Long-term Impact of ML Decisions via Policy Regret.

[BibT_eX]

[DOI]

David Lindner

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

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility.

[BibT_eX]

[DOI]

Jon M. Kleinberg

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

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.

[BibT_eX]

[DOI]

Mohammad Yaghini

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Fair Equality of Chances for Prediction-based Decisions.

[BibT_eX]

[DOI]

Michele Loi

Anders Herlitz

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

On the Desiderata for Online Altruism: Nudging for Equitable Donations.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2020

2019

Competitive contagion in networks.

[BibT_eX]

[DOI]

Sanjeev Goyal

Games Econ. Behav., 2019

A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness.

[BibT_eX]

[DOI]

Mohammad Yaghini

CoRR, 2019

Economic Theories of Distributive Justice for Fair Machine Learning.

[BibT_eX]

[DOI]

Krishna P. Gummadi

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

On the Impact of Choice Architectures on Inequality in Online Donation Platforms.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.

[BibT_eX]

[DOI]

Megha Srivastava

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.

[BibT_eX]

[DOI]

Vedant Nanda

Krishna P. Gummadi

Proceedings of the 36th International Conference on Machine Learning, 2019

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.

[BibT_eX]

[DOI]

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

2018

Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets.

[BibT_eX]

[DOI]

Sébastien Lahaie

David M. Pennock

Jennifer Wortman Vaughan

ACM Trans. Economics and Comput., 2018

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Preventing Disparate Treatment in Sequential Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

A Convex Framework for Fair Regression.

[BibT_eX]

[DOI]

CoRR, 2017

A General Framework for Evaluating Callout Mechanisms in Repeated Auctions.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Tight Policy Regret Bounds for Improving and Decaying Bandits.

[BibT_eX]

[DOI]

Aaron Roth

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Pricing a Low-regret Seller.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Learning from Contagion (Without Timestamps).

[BibT_eX]

[DOI]

Kareem Amin

Proceedings of the 31th International Conference on Machine Learning, 2014

New Models for Competitive Contagion.

[BibT_eX]

[DOI]

Moez Draief

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Depth-Workload Tradeoffs for Workforce Organization.

[BibT_eX]

[DOI]

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

2011

Toward optimal vaccination strategies for probabilistic models.

[BibT_eX]

[DOI]

Zeinab Abbassi