Hoda Heidari
K&L Gates Career Development Assistant Professor of Ethics and Computational Technologies
Studies fairness, accountability and the social and economic effects of machine learning.
Hoda Heidari's lab at CMU works on trustworthy & safe ML. 31 papers since 2023, 2 at top venues, mostly EMNLP and WWW. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 6%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 13 papers2025 · T1 1
- 9 papers2024 · T1 1
- 9 papers2023 · T1 0
T1 venuesOtherVenues: EMNLP, WWW
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML3 papers
- economic1 paper
- accountability0 papers
- studies fairness0 papers
- effects0 papers
Paper list
From the lab homepage.
202513 papers
- The ACM Conference on Human Factors in Computing Systems (CHI)'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (opens in a new tab)
- The ACM Conference on Human Factors in Computing Systems (CHI)Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions (opens in a new tab)
- The ACM Conference on Economics and Computation (EC)Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff (opens in a new tab)
- Proceedings of the Annual Meeting of the Cognitive Science Society (Volume 47)Facilitating Human-AI Coordination through Computational Theory of Mind (opens in a new tab)
- The ACM Conference on Fairness, Accountability, and Transparency (FAccT)Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs (opens in a new tab)
- Neural and Information Processing Systems (NeurIPS)Modeling the Economic Impacts of AI Openness Regulation (opens in a new tab)
- EMNLP (T1)Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles (opens in a new tab)
- The ACM Conference on Fairness, Accountability, and Transparency (FAccT)The "Who'', "What'', and "How'' of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)The AI Power Disparity Index: Toward a Compound Measure of AI Actors’ Power to Shape the AI Ecosystem (opens in a new tab)
- The ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)The Backfiring Effect of Weak AI Safety Regulation (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances (opens in a new tab)
20249 papers
- The ACM Conference on Fairness, Accountability, and Transparency (FAccT)AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services (opens in a new tab)
- Minds and Machines (to appear)Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems (opens in a new tab)
- WWW (T1)Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)On the Pros and Cons of Active Learning for Moral Preference Elicitation (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), . Best Paper Award at AIESRed-Teaming for Generative AI: Silver Bullet or Security Theater? (opens in a new tab)
- The ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use (opens in a new tab)
- The ACM Conference on Fairness, Accountability, and Transparency (FAccT)The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment (opens in a new tab)
- The ACM CHI conference on Human Factors in Computing Systems (CHI)The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early- stage Deliberations Around Public Sector AI Proposals (opens in a new tab)
20239 papers
- The AAAI Conference on Human Computation and Crowdsourcing (HCOMP)A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity (opens in a new tab)
- IEEE Conference on Secure and Trustworthy Machine Learning (SAT-ML), . Winner of a Best Paper Award at SAT-MLA Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (opens in a new tab)
- The AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research (opens in a new tab)
- ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)Informational Diversity and Affinity Bias in Team Formation Dynamics (opens in a new tab)
- The AAAI Conference on Artificial Intelligence (AAAI)Local Justice & ML: Modeling and Inferring Dynamic Ethical Judgments Around High-stakes Allocations (opens in a new tab)
- The AAAI Conference on Artificial Intelligence (AAAI)Moral Machine or Tyranny of the Majority? (opens in a new tab)
- Pattern (VolumePerspectives on Incorporating Expert Feedback into Model Updates (opens in a new tab)
- ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)The AI Incident Database as an Educational Tool to Raise Awareness of Harms: A Classroom Exploration of Efficacy, Limitations, & Future Design Improvements (opens in a new tab)
- ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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