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Fairness in Criminal Justice Risk Assessments: The State of the Art

Sociological methods & research, 2021-02, Vol.50 (1), p.3-44

2021

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Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems

Minds and machines (Dordrecht), 2024-09, Vol.34 (4), Article 41

2024

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SSVEP Extraction Applying Wavelet Transform and Decision Tree With Bays Classification

International clinical neuroscience journal, 2017-07, Vol.4 (3), p.91-97

2017

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Competitive contagion in networks

Games and economic behavior, 2019-01, Vol.113, p.58-79

2019

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Fair equality of chances for prediction-based decisions

Economics and philosophy, 2023-11, p.1-24

2023

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A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs

SN computer science, 2024-04, Vol.5 (4), p.356, Article 356

2024

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Perspectives on incorporating expert feedback into model updates

Patterns (New York, N.Y.), 2023-07, Vol.4 (7), p.100780-100780, Article 100780

2023

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.2459-2468

2019

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RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization

ACM journal on computing and sustainable societies, 2024-06, Vol.2 (2), p.1-29, Article 23

2024

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.2239-2248

2018

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On the Desiderata for Online Altruism: Nudging for Equitable Donations

Proceedings of the ACM on human-computer interaction, 2020-10, Vol.4 (CSCW2), p.1-21

2020

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Allocating Opportunities in a Dynamic Model of Intergenerational Mobility

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, p.15-25

2021

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Essays in Algorithmic Market Design Under Social Constraints

Heidari, Hoda

2017

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

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, p.181-190

2019

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

ACM transactions on economics and computation, 2018-11, Vol.6 (3-4), p.1-26

2018

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Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models

Proceedings of the ACM Web Conference 2024, 2024, p.66-76

2024

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

2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023, p.690-704

2023

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

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2023, p.1-11

2023

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Moral Machine or Tyranny of the Majority?

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2023, Vol.37 (5), p.5974-5982

2023

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New Models for Competitive Contagion

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2014-06, Vol.28 (1)

2014

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

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, p.1023-1033

2021

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The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals

Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 2024, p.1-22

2024

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Fair Equality of Chances for Prediction-based Decisions

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, p.756-756

2021

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A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2023-11, Vol.11 (1), p.127-139

2023

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Informational Diversity and Affinity Bias in Team Growth Dynamics

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2023, p.1-10

2023

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Fairness in Criminal Justice Risk Assessments: The State of the Art

Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems

SSVEP Extraction Applying Wavelet Transform and Decision Tree With Bays Classification

Competitive contagion in networks

Fair equality of chances for prediction-based decisions

A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs

Perspectives on incorporating expert feedback into model updates

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

RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization

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

On the Desiderata for Online Altruism: Nudging for Equitable Donations

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility

Essays in Algorithmic Market Design Under Social Constraints

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

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

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models

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

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

Moral Machine or Tyranny of the Majority?

New Models for Competitive Contagion

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

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals

Fair Equality of Chances for Prediction-based Decisions

A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity

Informational Diversity and Affinity Bias in Team Growth Dynamics

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