Imagen de Portada

AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hopkins, Aspen, Cen, Sarah H., Ilyas, Andrew, Struckman, Isabella, Videgaray, Luis, Mądry, Aleksander
Formato:	Preprint
Publicado:	2025
Materias:	Computers and Society Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
por: Cen, Sarah H., et al.
Publicado: (2025)

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
por: Hopkins, Aspen K., et al.
Publicado: (2025)

User Strategization and Trustworthy Algorithms
por: Cen, Sarah H., et al.
Publicado: (2023)

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
por: Cen, Sarah H., et al.
Publicado: (2024)

Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
por: Jain, Saachi, et al.
Publicado: (2024)

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
por: Cen, Sarah H., et al.
Publicado: (2024)

Decomposing and Editing Predictions by Modeling Model Computation
por: Shah, Harshay, et al.
Publicado: (2024)

Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
por: Mahuli, Amruta, et al.
Publicado: (2024)

Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
por: Wilder, Bryan, et al.
Publicado: (2025)

Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
por: Jewitt, James, et al.
Publicado: (2026)

AI and the Dynamic Supply of Training Data
por: Peukert, Christian, et al.
Publicado: (2024)

Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
por: Cen, Sarah H., et al.
Publicado: (2025)

Dyads: Artist-Centric, AI-Generated Dance Duets
por: Wang, Zixuan, et al.
Publicado: (2025)

Understanding and Mitigating Risks of Generative AI in Financial Services
por: Gehrmann, Sebastian, et al.
Publicado: (2025)

Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
por: Wilson, Sophia N., et al.
Publicado: (2026)

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
por: Toups, Connor, et al.
Publicado: (2023)

Green AI in Action: Strategic Model Selection for Ensembles in Production
por: Nijkamp, Nienke, et al.
Publicado: (2024)

Optimizing ML Training with Metagradient Descent
por: Engstrom, Logan, et al.
Publicado: (2025)

Do Large Language Model Benchmarks Test Reliability?
por: Vendrow, Joshua, et al.
Publicado: (2025)

Learning to Attribute with Attention
por: Cohen-Wang, Benjamin, et al.
Publicado: (2025)

Patient Safety Risks from AI Scribes: Signals from End-User Feedback
por: Dai, Jessica, et al.
Publicado: (2025)

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
por: Dass, Shivin, et al.
Publicado: (2025)

Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
por: Fleurence, Rachael, et al.
Publicado: (2024)

Thousands of AI Authors on the Future of AI
por: Grace, Katja, et al.
Publicado: (2024)

Extinction Risks from AI: Invisible to Science?
por: Kovarik, Vojtech, et al.
Publicado: (2024)

AI for Scientific Discovery is a Social Problem
por: Channing, Georgia, et al.
Publicado: (2025)

The Benefits and Risks of Transductive Approaches for AI Fairness
por: Razzak, Muhammed, et al.
Publicado: (2024)

Continuous Pupillography: A Case for Visual Health Ecosystem
por: Younus, Usama, et al.
Publicado: (2024)

The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults
por: Ding, Michelle L., et al.
Publicado: (2025)

AI Enabled User-Specific Cyberbullying Severity Detection with Explainability
por: Prama, Tabia Tanzin, et al.
Publicado: (2025)

I'm Sorry Dave: How the old world of personnel security can inform the new world of AI insider risk
por: Martin, Paul, et al.
Publicado: (2025)

Democratizing AI Governance: Balancing Expertise and Public Participation
por: Ter-Minassian, Lucile
Publicado: (2025)

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
por: Momha, Marcelle
Publicado: (2025)

Training Compute Thresholds: Features and Functions in AI Regulation
por: Heim, Lennart, et al.
Publicado: (2024)

Australian Bushfire Intelligence with AI-Driven Environmental Analytics
por: Jois, Tanvi, et al.
Publicado: (2026)

EnviroLLM: Resource Tracking and Optimization for Local AI
por: Allen, Troy
Publicado: (2025)

Legal Aspects for Software Developers Interested in Generative AI Applications
por: Herbold, Steffen, et al.
Publicado: (2024)

ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report
por: Fleurence, Rachael L., et al.
Publicado: (2024)

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
por: Lee, Katherine, et al.
Publicado: (2023)

ContextCite: Attributing Model Generation to Context
por: Cohen-Wang, Benjamin, et al.
Publicado: (2024)