Cover Image

Comparing Fairness of Generative Mobility Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Daniel, McFarland, Jack, Mashhadi, Afra, Ugurel, Ekin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning I.6.4; I.2.6; K.4.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
by: Samad, Hana, et al.
Published: (2025)

Fairness Interventions: A Study in AI Explainability
by: Souverain, Thomas, et al.
Published: (2024)

Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
by: Wasif, Dawood, et al.
Published: (2026)

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
by: Panth, Prajwal, et al.
Published: (2026)

Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension
by: Solozobov, Oleg
Published: (2026)

Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
by: Rosenblatt, Lucas, et al.
Published: (2026)

REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
by: Cohen, Liran, et al.
Published: (2025)

HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification
by: Anoosha, Mostafa, et al.
Published: (2025)

Measuring the Authority Stack of AI Systems: Empirical Analysis of 366,120 Forced-Choice Responses Across 8 AI Models
by: Lee, Seulki
Published: (2026)

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)

Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems
by: Solozobov, Oleg
Published: (2026)

Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems
by: Solozobov, Oleg
Published: (2026)

BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
by: DeLeeuw, Caleb
Published: (2026)

Learning the Signature of Memorization in Autoregressive Language Models
by: Ilić, David, et al.
Published: (2026)

More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
by: Yeste, Víctor, et al.
Published: (2026)

Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
by: Webster, Kevin T
Published: (2025)

Membership Inference Attacks against Large Audio Language Models
by: Dong, Jia-Kai, et al.
Published: (2026)

Learning from Discriminatory Training Data
by: Grabowicz, Przemyslaw A., et al.
Published: (2019)

Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? A Study of Hierarchical Gating and Calibration
by: Yeste, Víctor, et al.
Published: (2026)

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

Operational range bounding of spectroscopy models with anomaly detection
by: Simões, Luís F., et al.
Published: (2024)

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
by: Lucas, Tom, et al.
Published: (2026)

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
by: Salazar, Teresa, et al.
Published: (2024)

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
by: Blanco-Justicia, Alberto, et al.
Published: (2024)

The Necessity of AI Audit Standards Boards
by: Manheim, David, et al.
Published: (2024)

Stroke Lesions as a Rosetta Stone for Language Model Interpretability
by: Fridriksson, Julius, et al.
Published: (2026)

Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)

On the Power and Limitations of Examples for Description Logic Concepts
by: Cate, Balder ten, et al.
Published: (2024)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
by: Liu, Yingtian, et al.
Published: (2024)

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
by: Stoecker, Theodor, et al.
Published: (2025)

Closing the SNAP Gap: Identifying Under-Enrollment in High-Poverty ZIP Codes
by: Ray, Auyona
Published: (2025)

Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems
by: Alsayed, Khalid Adnan
Published: (2026)

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
by: Drayson, George, et al.
Published: (2023)

Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI
by: Beltoft, Stine, et al.
Published: (2025)

Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
by: Yeste, Víctor, et al.
Published: (2026)

Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
by: Sun, Kangkang, et al.
Published: (2026)

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
by: Leonesi, Matteo, et al.
Published: (2026)

Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle
by: Cote, Mark, et al.
Published: (2025)