Image de couverture de livre

A Blueprint for Auditing Generative AI

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mokander, Jakob, Curl, Justin, Kshirsagar, Mihir
Format:	Preprint
Publié:	2024
Sujets:	Computers and Society Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Auditing of AI: Legal, Ethical and Technical Approaches
par: Mokander, Jakob
Publié: (2024)

AI and Social Theory
par: Mokander, Jakob, et autres
Publié: (2024)

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
par: Mokander, Jakob, et autres
Publié: (2024)

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
par: Mokander, Jakob, et autres
Publié: (2024)

Embodied AI: Emerging Risks and Opportunities for Policy Action
par: Perlo, Jared, et autres
Publié: (2025)

Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
par: Mökander, Jakob, et autres
Publié: (2024)

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
par: Mokander, Jakob, et autres
Publié: (2024)

Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights
par: Lage, Darren, et autres
Publié: (2024)

Operationalising AI governance through ethics-based auditing: An industry case study
par: Mokander, Jakob, et autres
Publié: (2024)

Global AI Bias Audit for Technical Governance
par: Hung, Jason
Publié: (2026)

Can AI be Auditable?
par: Verma, Himanshu, et autres
Publié: (2025)

Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems
par: Haryanto, Christoforus Yoga, et autres
Publié: (2025)

Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
par: Oesterling, Alex, et autres
Publié: (2024)

Blueprints of Trust: AI System Cards for End to End Transparency and Governance
par: Sidhpurwala, Huzaifa, et autres
Publié: (2025)

From Bias to Accountability: How the EU AI Act Confronts Challenges in European GeoAI Auditing
par: Matuszczyk, Natalia, et autres
Publié: (2025)

Private, Verifiable, and Auditable AI Systems
par: South, Tobin
Publié: (2025)

Frontier Lag: A Bibliometric Audit of Capability Misrepresentation in Academic AI Evaluation
par: Gringras, David, et autres
Publié: (2026)

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas
par: Venkit, Pranav Narayanan, et autres
Publié: (2025)

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

Black-Box Access is Insufficient for Rigorous AI Audits
par: Casper, Stephen, et autres
Publié: (2024)

AuditWen:An Open-Source Large Language Model for Audit
par: Huang, Jiajia, et autres
Publié: (2024)

Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
par: Yuan, Chih-Cheng Rex, et autres
Publié: (2024)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
par: Yuan, Chih-Cheng Rex, et autres
Publié: (2025)

Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI
par: Sun, Luhang, et autres
Publié: (2023)

Law and the Emerging Political Economy of Algorithmic Audits
par: Terzis, Petros, et autres
Publié: (2024)

Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai
par: Coppolillo, Erica, et autres
Publié: (2026)

The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
par: Gunjan, et autres
Publié: (2026)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
par: Binkyte, Ruta, et autres
Publié: (2022)

Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles
par: Luna, Jose, et autres
Publié: (2026)

Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models
par: Prakash, Shashank, et autres
Publié: (2026)

Question the Questions: Auditing Representation in Online Deliberative Processes
par: De, Soham, et autres
Publié: (2025)

Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges
par: Conklin, Sherri Lynn, et autres
Publié: (2024)

When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models
par: Venkata, Pruthvinath Jeripity
Publié: (2026)

Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri
par: De Clark, Trevor, et autres
Publié: (2026)

PRISM: A Methodology for Auditing Biases in Large Language Models
par: Azzopardi, Leif, et autres
Publié: (2024)

MIRA: A Bilingual Benchmark for Medical Information Response Audit
par: Xu, Mengyu, et autres
Publié: (2026)

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
par: Basu, Sagnik, et autres
Publié: (2025)

FeedQUAC: Quick Unobtrusive AI-Generated Commentary
par: Long, Tao, et autres
Publié: (2025)

AuditGPT: Auditing Smart Contracts with ChatGPT
par: Xia, Shihao, et autres
Publié: (2024)

Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations
par: van der Linden, Ilona, et autres
Publié: (2025)