Copertina

Measures of classification bias derived from sample size analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ivrissimtzis, Ioannis, Concannon, Shauna, Houliston, Matthew, Roberts, Graham
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Methodology Computers and Society Machine Learning G.3; K.4.1
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Zero-failure testing of binary classifiers
di: Ivrissimtzis, Ioannis, et al.
Pubblicazione: (2024)

Locally Optimal Private Sampling: Beyond the Global Minimax
di: Ghoukasian, Hrad, et al.
Pubblicazione: (2025)

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
di: Zhang, Zhaowei, et al.
Pubblicazione: (2025)

Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
di: Balch, Andrew
Pubblicazione: (2024)

Comparative Algorithmic Governance of Public Health Instruments across India, EU, US and LMICs
di: Singh, Sahibpreet
Pubblicazione: (2026)

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
di: Woodruff, Allison, et al.
Pubblicazione: (2023)

India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling
di: Debnath, Ramit, et al.
Pubblicazione: (2020)

Openness in AI and downstream governance: A global value chain approach
di: Foster, Christopher
Pubblicazione: (2025)

Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
di: Chakraborty, Attrayee, et al.
Pubblicazione: (2024)

Mitigating Spurious Correlations with Causal Logit Perturbation
di: Zhou, Xiaoling, et al.
Pubblicazione: (2025)

A University Framework for the Responsible use of Generative AI in Research
di: Smith, Shannon, et al.
Pubblicazione: (2024)

Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
di: Wu, Chia-Yuan, et al.
Pubblicazione: (2024)

Beyond Explanation: Evidentiary Rights for Algorithmic Accountability
di: Stewart, Matthew
Pubblicazione: (2026)

Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study
di: Alexander, Charlotte S., et al.
Pubblicazione: (2026)

Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent
di: Saito, Kenji, et al.
Pubblicazione: (2026)

The Memory Wars: AI Memory, Network Effects, and the Geopolitics of Cognitive Sovereignty
di: Brcic, Mario
Pubblicazione: (2025)

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
di: Slattery, Peter, et al.
Pubblicazione: (2024)

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
di: Kierans, Aidan, et al.
Pubblicazione: (2025)

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

Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion
di: Grumbach, Stéphane, et al.
Pubblicazione: (2024)

The Future of the AI Summit Series
di: Velasco, Lucia, et al.
Pubblicazione: (2025)

AI Sprints: Towards a Critical Method for Human-AI Collaboration
di: Berry, David M.
Pubblicazione: (2025)

Ethical conundrums: Hacked data in the study of far-right violent extremism
di: Waldek, Lise, et al.
Pubblicazione: (2025)

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

The Digital Gorilla: Rebalancing Power in the Age of AI
di: Parra-Orlandoni, M. Alejandra, et al.
Pubblicazione: (2026)

Towards an Automated Framework to Audit Youth Safety on TikTok
di: Xue, Linda, et al.
Pubblicazione: (2025)

Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
di: Widder, David Gray
Pubblicazione: (2024)

From Catastrophic to Concrete: Reframing AI Risk Communication for Public Mobilization
di: Trippenbach, Philip, et al.
Pubblicazione: (2025)

Principles and Policy Recommendations for Comprehensive Genetic Data Governance
di: Ramanan, Vivek, et al.
Pubblicazione: (2025)

Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
di: Atri, Rian
Pubblicazione: (2026)

Public-private funding models in open source software development: A case study on scikit-learn
di: Osborne, Cailean
Pubblicazione: (2024)

The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
di: Osborne, Cailean, et al.
Pubblicazione: (2024)

Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with transformers trained on patient event sequences
di: Sahu, Ricky, et al.
Pubblicazione: (2024)

Transparency in Healthcare AI: Testing European Regulatory Provisions against Users' Transparency Needs
di: Spagnolli, Anna, et al.
Pubblicazione: (2025)

Security Is Not Enough: Privacy in Encryption Regulation and Lawful-Surveillance Protocols
di: Monteiro, Artur Pericles L.
Pubblicazione: (2026)

Generative Fractional Diffusion Models
di: Nobis, Gabriel, et al.
Pubblicazione: (2023)

Physiological Data: Challenges for Privacy and Ethics
di: Davis, Keith, et al.
Pubblicazione: (2024)

Causal Identification from Counterfactual Data: Completeness and Bounding Results
di: Raghavan, Arvind, et al.
Pubblicazione: (2026)

Counterfactual Realizability
di: Raghavan, Arvind, et al.
Pubblicazione: (2025)

Why we need an AI-resilient society
di: Bartz-Beielstein, Thomas
Pubblicazione: (2019)