Ecosystem Graphs: The Social Footprint of Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bommasani, Rishi, Soylu, Dilara, Liao, Thomas I., Creel, Kathleen A., Liang, Percy
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

The 2024 Foundation Model Transparency Index
by: Bommasani, Rishi, et al.
Published: (2024)

Algorithmic Monocultures in Hiring
by: Bommasani, Rishi, et al.
Published: (2026)

Foundation Model Transparency Reports
by: Bommasani, Rishi, et al.
Published: (2024)

The 2025 Foundation Model Transparency Index
by: Wan, Alexander, et al.
Published: (2025)

The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy
by: Bommasani, Rishi
Published: (2025)

Language model developers should report train-test overlap
by: Zhang, Andy K, et al.
Published: (2024)

On the Societal Impact of Open Foundation Models
by: Kapoor, Sayash, et al.
Published: (2024)

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
by: Soylu, Dilara, et al.
Published: (2024)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
by: Faiz, Ahmad, et al.
Published: (2023)

The ATOM Report: Measuring the Open Language Model Ecosystem
by: Lambert, Nathan, et al.
Published: (2026)

Do AI Companies Make Good on Voluntary Commitments to the White House?
by: Wang, Jennifer, et al.
Published: (2025)

IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
by: Chen, Fan, et al.
Published: (2024)

LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
by: Fu, Zhenxiao, et al.
Published: (2024)

On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
by: Liang, Weixin
Published: (2025)

Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
by: Gotavade, Tejas Satish
Published: (2024)

Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
by: Franceschelli, Giorgio, et al.
Published: (2024)

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
by: Li, Zhonghang, et al.
Published: (2024)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
by: Shang, Tianqi, et al.
Published: (2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
by: Zhang, Weijia, et al.
Published: (2024)

Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models
by: Potham, Ram, et al.
Published: (2025)

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
by: Husom, Erik Johannes, et al.
Published: (2025)

Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)

Effective Mitigations for Systemic Risks from General-Purpose AI
by: Uuk, Risto, et al.
Published: (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
by: Anwar, Usman, et al.
Published: (2024)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
by: Trask, Thomas, et al.
Published: (2024)

Reliable and Responsible Foundation Models: A Comprehensive Survey
by: Yang, Xinyu, et al.
Published: (2026)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
by: Longpre, Shayne, et al.
Published: (2024)

A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
by: Vassoyan, Jean, et al.
Published: (2024)

CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
by: Jiang, Lei, et al.
Published: (2025)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
by: Zakazov, Ivan, et al.
Published: (2024)

Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
by: Shang, Tianqi, et al.
Published: (2024)

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components
by: Potham, Ram
Published: (2025)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
by: Cooper, A. Feder, et al.
Published: (2023)

Temporal Graph Memory Networks For Knowledge Tracing
by: Gad, Seif, et al.
Published: (2024)

Towards Socially and Environmentally Responsible AI
by: Li, Pengfei, et al.
Published: (2024)