Measures of classification bias derived from sample size analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ivrissimtzis, Ioannis, Concannon, Shauna, Houliston, Matthew, Roberts, Graham |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Zero-failure testing of binary classifiers
by: Ivrissimtzis, Ioannis, et al.
Published: (2024)
by: Ivrissimtzis, Ioannis, et al.
Published: (2024)
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
by: Zhang, Zhaowei, et al.
Published: (2025)
by: Zhang, Zhaowei, et al.
Published: (2025)
Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
by: Balch, Andrew
Published: (2024)
by: Balch, Andrew
Published: (2024)
Comparative Algorithmic Governance of Public Health Instruments across India, EU, US and LMICs
by: Singh, Sahibpreet
Published: (2026)
by: Singh, Sahibpreet
Published: (2026)
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
by: Woodruff, Allison, et al.
Published: (2023)
by: Woodruff, Allison, et al.
Published: (2023)
India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling
by: Debnath, Ramit, et al.
Published: (2020)
by: Debnath, Ramit, et al.
Published: (2020)
Openness in AI and downstream governance: A global value chain approach
by: Foster, Christopher
Published: (2025)
by: Foster, Christopher
Published: (2025)
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
by: Chakraborty, Attrayee, et al.
Published: (2024)
by: Chakraborty, Attrayee, et al.
Published: (2024)
Mitigating Spurious Correlations with Causal Logit Perturbation
by: Zhou, Xiaoling, et al.
Published: (2025)
by: Zhou, Xiaoling, et al.
Published: (2025)
A University Framework for the Responsible use of Generative AI in Research
by: Smith, Shannon, et al.
Published: (2024)
by: Smith, Shannon, et al.
Published: (2024)
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
by: Wu, Chia-Yuan, et al.
Published: (2024)
by: Wu, Chia-Yuan, et al.
Published: (2024)
Beyond Explanation: Evidentiary Rights for Algorithmic Accountability
by: Stewart, Matthew
Published: (2026)
by: Stewart, Matthew
Published: (2026)
Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study
by: Alexander, Charlotte S., et al.
Published: (2026)
by: Alexander, Charlotte S., et al.
Published: (2026)
Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent
by: Saito, Kenji, et al.
Published: (2026)
by: Saito, Kenji, et al.
Published: (2026)
The Memory Wars: AI Memory, Network Effects, and the Geopolitics of Cognitive Sovereignty
by: Brcic, Mario
Published: (2025)
by: Brcic, Mario
Published: (2025)
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
by: Slattery, Peter, et al.
Published: (2024)
by: Slattery, Peter, et al.
Published: (2024)
Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
by: Kierans, Aidan, et al.
Published: (2025)
by: Kierans, Aidan, et al.
Published: (2025)
Learning from Discriminatory Training Data
by: Grabowicz, Przemyslaw A., et al.
Published: (2019)
by: Grabowicz, Przemyslaw A., et al.
Published: (2019)
Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion
by: Grumbach, Stéphane, et al.
Published: (2024)
by: Grumbach, Stéphane, et al.
Published: (2024)
The Future of the AI Summit Series
by: Velasco, Lucia, et al.
Published: (2025)
by: Velasco, Lucia, et al.
Published: (2025)
AI Sprints: Towards a Critical Method for Human-AI Collaboration
by: Berry, David M.
Published: (2025)
by: Berry, David M.
Published: (2025)
Ethical conundrums: Hacked data in the study of far-right violent extremism
by: Waldek, Lise, et al.
Published: (2025)
by: Waldek, Lise, et al.
Published: (2025)
Fairness Interventions: A Study in AI Explainability
by: Souverain, Thomas, et al.
Published: (2024)
by: Souverain, Thomas, et al.
Published: (2024)
The Digital Gorilla: Rebalancing Power in the Age of AI
by: Parra-Orlandoni, M. Alejandra, et al.
Published: (2026)
by: Parra-Orlandoni, M. Alejandra, et al.
Published: (2026)
Towards an Automated Framework to Audit Youth Safety on TikTok
by: Xue, Linda, et al.
Published: (2025)
by: Xue, Linda, et al.
Published: (2025)
Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
by: Widder, David Gray
Published: (2024)
by: Widder, David Gray
Published: (2024)
From Catastrophic to Concrete: Reframing AI Risk Communication for Public Mobilization
by: Trippenbach, Philip, et al.
Published: (2025)
by: Trippenbach, Philip, et al.
Published: (2025)
Principles and Policy Recommendations for Comprehensive Genetic Data Governance
by: Ramanan, Vivek, et al.
Published: (2025)
by: Ramanan, Vivek, et al.
Published: (2025)
Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
by: Atri, Rian
Published: (2026)
by: Atri, Rian
Published: (2026)
Public-private funding models in open source software development: A case study on scikit-learn
by: Osborne, Cailean
Published: (2024)
by: Osborne, Cailean
Published: (2024)
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
by: Osborne, Cailean, et al.
Published: (2024)
by: Osborne, Cailean, et al.
Published: (2024)
Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with transformers trained on patient event sequences
by: Sahu, Ricky, et al.
Published: (2024)
by: Sahu, Ricky, et al.
Published: (2024)
Transparency in Healthcare AI: Testing European Regulatory Provisions against Users' Transparency Needs
by: Spagnolli, Anna, et al.
Published: (2025)
by: Spagnolli, Anna, et al.
Published: (2025)
Security Is Not Enough: Privacy in Encryption Regulation and Lawful-Surveillance Protocols
by: Monteiro, Artur Pericles L.
Published: (2026)
by: Monteiro, Artur Pericles L.
Published: (2026)
Generative Fractional Diffusion Models
by: Nobis, Gabriel, et al.
Published: (2023)
by: Nobis, Gabriel, et al.
Published: (2023)
Physiological Data: Challenges for Privacy and Ethics
by: Davis, Keith, et al.
Published: (2024)
by: Davis, Keith, et al.
Published: (2024)
Causal Identification from Counterfactual Data: Completeness and Bounding Results
by: Raghavan, Arvind, et al.
Published: (2026)
by: Raghavan, Arvind, et al.
Published: (2026)
Counterfactual Realizability
by: Raghavan, Arvind, et al.
Published: (2025)
by: Raghavan, Arvind, et al.
Published: (2025)
Why we need an AI-resilient society
by: Bartz-Beielstein, Thomas
Published: (2019)
by: Bartz-Beielstein, Thomas
Published: (2019)
Similar Items
-
Zero-failure testing of binary classifiers
by: Ivrissimtzis, Ioannis, et al.
Published: (2024) -
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025) -
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
by: Zhang, Zhaowei, et al.
Published: (2025) -
Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
by: Balch, Andrew
Published: (2024) -
Comparative Algorithmic Governance of Public Health Instruments across India, EU, US and LMICs
by: Singh, Sahibpreet
Published: (2026)