Copertina

Auditing of AI: Legal, Ethical and Technical Approaches

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Mokander, Jakob
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computers and Society Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

AI and Social Theory
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Embodied AI: Emerging Risks and Opportunities for Policy Action
di: Perlo, Jared, et al.
Pubblicazione: (2025)

Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
di: Mökander, Jakob, et al.
Pubblicazione: (2024)

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

Global AI Bias Audit for Technical Governance
di: Hung, Jason
Pubblicazione: (2026)

A Concept for Efficient Scalability of Automated Driving Allowing for Technical, Legal, Cultural, and Ethical Differences
di: Ullrich, Lars, et al.
Pubblicazione: (2025)

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

The Law-Following AI Framework: Legal Foundations and Technical Constraints. Legal Analogues for AI Actorship and technical feasibility of Law Alignment
di: Delgado, Katalina Hernandez
Pubblicazione: (2025)

Operationalising AI governance through ethics-based auditing: An industry case study
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification
di: Buscemi, Alessio, et al.
Pubblicazione: (2025)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
di: Binkyte, Ruta, et al.
Pubblicazione: (2022)

Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership
di: Kandasamy, Udaya Chandrika
Pubblicazione: (2024)

Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
di: Papademas, Michael, et al.
Pubblicazione: (2025)

Ethical AI in Retail: Consumer Privacy and Fairness
di: Adanyin, Anthonette
Pubblicazione: (2024)

Ethical and Explainable AI in Reusable MLOps Pipelines
di: Hossain, Rakib, et al.
Pubblicazione: (2026)

Equity Bias: An Ethical Framework for AI Design
di: Lockwood, Mary
Pubblicazione: (2026)

Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework
di: Kim, Ji Yeon
Pubblicazione: (2026)

Can AI be Auditable?
di: Verma, Himanshu, et al.
Pubblicazione: (2025)

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
di: Nasir, Sidra, et al.
Pubblicazione: (2023)

Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI
di: Barthwal, Ankur, et al.
Pubblicazione: (2025)

LegalScore: Development of a Benchmark for Evaluating AI Models in Legal Career Exams in Brazil
di: Caparroz, Roberto, et al.
Pubblicazione: (2025)

Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
di: Shrestha, Ajay Kumar, et al.
Pubblicazione: (2025)

TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
di: Kirch, Nathalie Maria, et al.
Pubblicazione: (2024)

Beyond Algorethics: Addressing the Ethical and Anthropological Challenges of AI Recommender Systems
di: Machidon, Octavian M.
Pubblicazione: (2025)

The Illusion of Friendship: Why Generative AI Demands Unprecedented Ethical Vigilance
di: Islam, Md Zahidul
Pubblicazione: (2026)

Technical Requirements for Halting Dangerous AI Activities
di: Barnett, Peter, et al.
Pubblicazione: (2025)

The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
di: Ganesh, Prakhar, et al.
Pubblicazione: (2024)

Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
di: Wang, Olivia Peiyu, et al.
Pubblicazione: (2026)

Precautionary Governance of Autonomous AI: Legal Personhood as Functional Instrument
di: Brensing, Karsten
Pubblicazione: (2026)

Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI
di: Pavlidis, Georgios, et al.
Pubblicazione: (2026)

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
di: Ferdaus, Md Meftahul, et al.
Pubblicazione: (2024)

Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
di: Sadeghpour, Mahshid, et al.
Pubblicazione: (2025)

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
di: Huang, Yutan, et al.
Pubblicazione: (2025)

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

Private, Verifiable, and Auditable AI Systems
di: South, Tobin
Pubblicazione: (2025)

Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges
di: Conklin, Sherri Lynn, et al.
Pubblicazione: (2024)

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
di: Baradwaj, Simha Sankar, et al.
Pubblicazione: (2024)