Hoda Heidari
Orcid: 0000-0003-3710-4076
According to our database1,
Hoda Heidari
authored at least 55 papers
between 2011 and 2024.
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Bibliography
2024
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems.
Minds Mach., December, 2024
A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs.
SN Comput. Sci., April, 2024
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
Proc. ACM Hum. Comput. Interact., 2024
'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants.
CoRR, 2024
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Patterns, July, 2023
CoRR, 2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.
CoRR, 2023
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
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.
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.
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.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
SIGecom Exch., July, 2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making.
CoRR, 2022
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).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.
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.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
Proc. ACM Hum. Comput. Interact., 2020
2019
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness.
CoRR, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
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
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
2018
ACM Trans. Economics and Comput., 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.
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.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
CoRR, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
2011
Proceedings of the 20th International Conference on World Wide Web, 2011