Cover Image

Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operational Law and Domestic Courts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, Abdullayeva, Nurana
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Computer Vision and Pattern Recognition Computers and Society Multimedia K.5.m; I.2.0; D.4.6; K.4.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson
Published: (2026)

The heteronomy of algorithms: Traditional knowledge and computational knowledge
by: Berry, David M.
Published: (2025)

Beyond Explanation: Evidentiary Rights for Algorithmic Accountability
by: Stewart, Matthew
Published: (2026)

KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition
by: Quadri, Kolawole
Published: (2026)

AI Ethics Principles in Practice: Perspectives of Designers and Developers
by: Sanderson, Conrad, et al.
Published: (2021)

A Panopticon on My Wrist: The Biopower of Big Data Visualization for Wearables
by: Hepworth, KJ
Published: (2024)

The Need for Standardized Evidence Sampling in CMMC Assessments: A Survey-Based Analysis of Assessor Practices
by: Therrien, Logan, et al.
Published: (2026)

Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion
by: Grumbach, Stéphane, et al.
Published: (2024)

Analysis and Constructive Criticism of the Official Data Protection Impact Assessment of the German Corona-Warn-App
by: Rehak, Rainer, et al.
Published: (2025)

Growing a Tail: Increasing Output Diversity in Large Language Models
by: Shur-Ofry, Michal, et al.
Published: (2024)

Physiological Data: Challenges for Privacy and Ethics
by: Davis, Keith, et al.
Published: (2024)

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
by: Woodruff, Allison, et al.
Published: (2023)

CityOS: Privacy Architecture for Urban Sensing
by: Cavicchioli, Giorgio, et al.
Published: (2026)

The Future of the AI Summit Series
by: Velasco, Lucia, et al.
Published: (2025)

AI Sprints: Towards a Critical Method for Human-AI Collaboration
by: Berry, David M.
Published: (2025)

Ethical conundrums: Hacked data in the study of far-right violent extremism
by: Waldek, Lise, et al.
Published: (2025)

Self-driving technologies need the help of the public: A narrative review of the evidence
by: Smith, Jonathan, et al.
Published: (2025)

Atlas of AI Risks: Enhancing Public Understanding of AI Risks
by: Bogucka, Edyta, et al.
Published: (2025)

Performativity and Prospective Fairness
by: Zezulka, Sebastian, et al.
Published: (2023)

Uncertainty-Calibrated Explainable Artificial Intelligence for Fetal Ultrasound Plane Classification: A Systematic Review
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
by: Chen, Renmiao, et al.
Published: (2025)

How mass surveillance can crowd out installations of COVID-19 contact tracing apps
by: Toch, Eran, et al.
Published: (2021)

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
by: Lundstrom-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

A Survey-Based Quantitative Analysis of Stress Factors and Their Impacts Among Cybersecurity Professionals
by: Arora, Sunil, et al.
Published: (2024)

The Economics of AI Inference: Inflation Dynamics, Welfare Costs, and Optimal Monetary Policy under the Inference-Cost Phillips Curve
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson
Published: (2026)

Why we need an AI-resilient society
by: Bartz-Beielstein, Thomas
Published: (2019)

Bridging Boundaries: How to Foster Effective Research Collaborations Across Affiliations in the Field of Trust and Safety
by: Menking, Amanda, et al.
Published: (2025)

The State's Politics of "Fake Data"
by: Liu, Chuncheng, et al.
Published: (2026)

Origin Lens: A Privacy-First Mobile Framework for Cryptographic Image Provenance and AI Detection
by: Loth, Alexander, et al.
Published: (2026)

Synthetic media and computational capitalism: towards a critical theory of artificial intelligence
by: Berry, David M.
Published: (2025)

Openness in AI and downstream governance: A global value chain approach
by: Foster, Christopher
Published: (2025)

An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
by: Teodorescu, Mike, et al.
Published: (2025)

Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
by: Balch, Andrew
Published: (2024)

The Cost of Convenience: Identifying, Analyzing, and Mitigating Predatory Loan Applications on Android
by: Akanji, Olawale Amos, et al.
Published: (2026)

Cross-Border Data Security and Privacy Risks in Large Language Models and IoT Systems
by: Handapangoda, Chalitha
Published: (2026)

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
by: Kierans, Aidan, et al.
Published: (2025)

When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information
by: Monteiro, Kyzyl, et al.
Published: (2026)

Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law
by: Zehlike, Meike, et al.
Published: (2022)

Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
by: Kruk, Julia, et al.
Published: (2024)

"We are currently clean on OPSEC": Why JD Can't Encrypt
by: Chiodo, Maurice, et al.
Published: (2026)