Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
Fuente:
arXiv
Guardado en:
| Autores principales: | Farnadi, Golnoosh, Havaei, Mohammad, Rostamzadeh, Negar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes
por: Kassem, Aly, et al.
Publicado: (2026)
por: Kassem, Aly, et al.
Publicado: (2026)
Fairness in Federated Learning: Fairness for Whom?
por: Taik, Afaf, et al.
Publicado: (2025)
por: Taik, Afaf, et al.
Publicado: (2025)
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
por: Ganesh, Prakhar, et al.
Publicado: (2024)
por: Ganesh, Prakhar, et al.
Publicado: (2024)
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
por: Ganesh, Prakhar, et al.
Publicado: (2024)
por: Ganesh, Prakhar, et al.
Publicado: (2024)
LoRA Provides Differential Privacy by Design via Random Sketching
por: Malekmohammadi, Saber, et al.
Publicado: (2024)
por: Malekmohammadi, Saber, et al.
Publicado: (2024)
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
por: Kassem, Aly M., et al.
Publicado: (2025)
por: Kassem, Aly M., et al.
Publicado: (2025)
Balancing Act: Constraining Disparate Impact in Sparse Models
por: Hashemizadeh, Meraj, et al.
Publicado: (2023)
por: Hashemizadeh, Meraj, et al.
Publicado: (2023)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
por: Arzaghi, Mina, et al.
Publicado: (2024)
por: Arzaghi, Mina, et al.
Publicado: (2024)
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
por: Asiedu, Mercy Nyamewaa, et al.
Publicado: (2024)
por: Asiedu, Mercy Nyamewaa, et al.
Publicado: (2024)
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
por: Ehyaei, Ahmad-Reza, et al.
Publicado: (2023)
por: Ehyaei, Ahmad-Reza, et al.
Publicado: (2023)
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process
por: Carichon, Florian, et al.
Publicado: (2025)
por: Carichon, Florian, et al.
Publicado: (2025)
Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
por: Ganesh, Prakhar, et al.
Publicado: (2025)
por: Ganesh, Prakhar, et al.
Publicado: (2025)
Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
por: Ganesh, Prakhar, et al.
Publicado: (2026)
por: Ganesh, Prakhar, et al.
Publicado: (2026)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
por: Wu, Qiming, et al.
Publicado: (2025)
por: Wu, Qiming, et al.
Publicado: (2025)
Learning Representational Disparities
por: Ravishankar, Pavan, et al.
Publicado: (2025)
por: Ravishankar, Pavan, et al.
Publicado: (2025)
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
por: Humayun, Ahmed Imtiaz, et al.
Publicado: (2024)
por: Humayun, Ahmed Imtiaz, et al.
Publicado: (2024)
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
por: Moradi, Armin, et al.
Publicado: (2024)
por: Moradi, Armin, et al.
Publicado: (2024)
Embedding Cultural Diversity in Prototype-based Recommender Systems
por: Moradi, Armin, et al.
Publicado: (2024)
por: Moradi, Armin, et al.
Publicado: (2024)
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
por: Farashah, Alireza Dehghanpour, et al.
Publicado: (2026)
por: Farashah, Alireza Dehghanpour, et al.
Publicado: (2026)
Explaining How Quantization Disparately Skews a Model
por: Bellam, Abhimanyu, et al.
Publicado: (2025)
por: Bellam, Abhimanyu, et al.
Publicado: (2025)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
por: Arzaghi', 'Mina, et al.
Publicado: (2025)
por: Arzaghi', 'Mina, et al.
Publicado: (2025)
Fairness Incentives in Response to Unfair Dynamic Pricing
por: Thibodeau, Jesse, et al.
Publicado: (2024)
por: Thibodeau, Jesse, et al.
Publicado: (2024)
Towards Environmentally Equitable AI
por: Hajiesmaili, Mohammad, et al.
Publicado: (2024)
por: Hajiesmaili, Mohammad, et al.
Publicado: (2024)
Learning Disease Progression Models That Capture Health Disparities
por: Chiang, Erica, et al.
Publicado: (2024)
por: Chiang, Erica, et al.
Publicado: (2024)
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
por: Li, Siqi, et al.
Publicado: (2024)
por: Li, Siqi, et al.
Publicado: (2024)
Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
por: Rismani, Shalaleh, et al.
Publicado: (2025)
por: Rismani, Shalaleh, et al.
Publicado: (2025)
Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
por: Bhagat, Kirti, et al.
Publicado: (2024)
por: Bhagat, Kirti, et al.
Publicado: (2024)
A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
por: Moubayed, Abdallah, et al.
Publicado: (2024)
por: Moubayed, Abdallah, et al.
Publicado: (2024)
Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
por: Rampisela, Theresia Veronika, et al.
Publicado: (2026)
por: Rampisela, Theresia Veronika, et al.
Publicado: (2026)
Position: AI Evaluations Should be Grounded on a Theory of Capability
por: Jo, Nathanael, et al.
Publicado: (2025)
por: Jo, Nathanael, et al.
Publicado: (2025)
Position: Model Collapse Does Not Mean What You Think
por: Schaeffer, Rylan, et al.
Publicado: (2025)
por: Schaeffer, Rylan, et al.
Publicado: (2025)
Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare
por: Tariq, Amara, et al.
Publicado: (2025)
por: Tariq, Amara, et al.
Publicado: (2025)
A Regulatory Governance Framework for AI-Driven Financial Fraud Detection in U.S. Banking: Integrating OCC, SR 11-7, CFPB, and FinCEN Compliance Requirements for Model Development, Validation, and Monitoring Lifecycles
por: Uddin, Mohammad Nasir
Publicado: (2026)
por: Uddin, Mohammad Nasir
Publicado: (2026)
Towards Sustainability Model Cards
por: Jouneaux, Gwendal, et al.
Publicado: (2025)
por: Jouneaux, Gwendal, et al.
Publicado: (2025)
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
por: Tang, Zeyu, et al.
Publicado: (2025)
por: Tang, Zeyu, et al.
Publicado: (2025)
Towards Socially and Environmentally Responsible AI
por: Li, Pengfei, et al.
Publicado: (2024)
por: Li, Pengfei, et al.
Publicado: (2024)
Towards Effective Discrimination Testing for Generative AI
por: Zollo, Thomas P., et al.
Publicado: (2024)
por: Zollo, Thomas P., et al.
Publicado: (2024)
Towards a Science of AI Agent Reliability
por: Rabanser, Stephan, et al.
Publicado: (2026)
por: Rabanser, Stephan, et al.
Publicado: (2026)
Existential Conversations with Large Language Models: Content, Community, and Culture
por: Shanahan, Murray, et al.
Publicado: (2024)
por: Shanahan, Murray, et al.
Publicado: (2024)
Ontology of Belief Diversity: A Community-Based Epistemological Approach
por: Fischella, Tyler, et al.
Publicado: (2024)
por: Fischella, Tyler, et al.
Publicado: (2024)
Ejemplares similares
-
Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes
por: Kassem, Aly, et al.
Publicado: (2026) -
Fairness in Federated Learning: Fairness for Whom?
por: Taik, Afaf, et al.
Publicado: (2025) -
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
por: Ganesh, Prakhar, et al.
Publicado: (2024) -
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
por: Ganesh, Prakhar, et al.
Publicado: (2024) -
LoRA Provides Differential Privacy by Design via Random Sketching
por: Malekmohammadi, Saber, et al.
Publicado: (2024)