Cover Image

Law and the Emerging Political Economy of Algorithmic Audits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Terzis, Petros, Veale, Michael, Gaumann, Noëlle
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries
by: Gorwa, Robert, et al.
Published: (2023)

The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
by: Gunjan, et al.
Published: (2026)

Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability
by: Vertesi, Janet, et al.
Published: (2026)

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
by: Sakhawat, Adib, et al.
Published: (2026)

The Fake Friend Dilemma: Trust and the Political Economy of Conversational AI
by: Erickson, Jacob
Published: (2026)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)

A Blueprint for Auditing Generative AI
by: Mokander, Jakob, et al.
Published: (2024)

Adtech and Real-Time Bidding under European Data Protection Law
by: Veale, Michael, et al.
Published: (2025)

Auditing of AI: Legal, Ethical and Technical Approaches
by: Mokander, Jakob
Published: (2024)

Global AI Bias Audit for Technical Governance
by: Hung, Jason
Published: (2026)

Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US
by: Hernandes, Raphael, et al.
Published: (2024)

Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation
by: Karadal, Pelin, et al.
Published: (2025)

Question the Questions: Auditing Representation in Online Deliberative Processes
by: De, Soham, et al.
Published: (2025)

Can AI be Auditable?
by: Verma, Himanshu, et al.
Published: (2025)

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
by: Basu, Sagnik, et al.
Published: (2025)

AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)

Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models
by: Dash, Deepika, et al.
Published: (2025)

AI Agents and the Law
by: Riedl, Mark O., et al.
Published: (2025)

The Fair Game: Auditing & Debiasing AI Algorithms Over Time
by: Basu, Debabrota, et al.
Published: (2025)

Linear Representations of Political Perspective Emerge in Large Language Models
by: Kim, Junsol, et al.
Published: (2025)

Who Owns the Output? Bridging Law and Technology in LLMs Attribution
by: Mezzi, Emanuele, et al.
Published: (2025)

Emerging Practices in Frontier AI Safety Frameworks
by: Buhl, Marie Davidsen, et al.
Published: (2025)

PsychBench: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations
by: Keough, Patrick
Published: (2026)

Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
by: Longpre, Shayne, et al.
Published: (2025)

PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)

MIRA: A Bilingual Benchmark for Medical Information Response Audit
by: Xu, Mengyu, et al.
Published: (2026)

Private, Verifiable, and Auditable AI Systems
by: South, Tobin
Published: (2025)

From Bias to Accountability: How the EU AI Act Confronts Challenges in European GeoAI Auditing
by: Matuszczyk, Natalia, et al.
Published: (2025)

Agent-Based Simulations of Online Political Discussions: A Case Study on Elections in Germany
by: Sittar, Abdul, et al.
Published: (2025)

Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa
by: Jung, Hayoung, et al.
Published: (2024)

The Architecture of AI Transformation: Four Strategic Patterns and an Emerging Frontier
by: Wolfe, Diana A., et al.
Published: (2025)

Black-Box Access is Insufficient for Rigorous AI Audits
by: Casper, Stephen, et al.
Published: (2024)

When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications
by: Cao, Hongliu, et al.
Published: (2026)

Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles
by: Luna, Jose, et al.
Published: (2026)

TEAS: Trusted Educational AI Standard: A Framework for Verifiable, Stable, Auditable, and Pedagogically Sound Learning Systems
by: Syed, Abu
Published: (2025)

LLM Agents in Law: Taxonomy, Applications, and Challenges
by: Liu, Shuang, et al.
Published: (2026)

The Political Preferences of LLMs
by: Rozado, David
Published: (2024)

Frontier Lag: A Bibliometric Audit of Capability Misrepresentation in Academic AI Evaluation
by: Gringras, David, et al.
Published: (2026)

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas
by: Venkit, Pranav Narayanan, et al.
Published: (2025)

A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
by: Miklian, Jason, et al.
Published: (2025)