Imagen de Portada

Making AI Compliance Evidence Machine-Readable

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ugarte, Rodrigo Cilla, Guisado, Miguel Ángel Patricio, de Jesús, Antonio Berlanga, López, José Manuel Molina
Formato:	Preprint
Publicado:	2026
Materias:	Computers and Society I.2; K.5; K.6.5; D.2.9
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

From Framework to Reliable Practice: End-User Perspectives on Social Robots in Public Spaces
por: Oruma, Samson, et al.
Publicado: (2025)

Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
por: Bogucka, Edyta, et al.
Publicado: (2024)

Cybersecurity of Teleoperated Quadruped Robots: A Systematic Survey of Vulnerabilities, Threats, and Open Defense Gaps
por: Sabouri, Mohammad
Publicado: (2026)

The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
por: Bogucka, Edyta, et al.
Publicado: (2024)

Gaka-chu: a self-employed autonomous robot artist
por: Ferrer, Eduardo Castelló, et al.
Publicado: (2022)

Impact Assessment Card: Communicating Risks and Benefits of AI Uses
por: Bogucka, Edyta, et al.
Publicado: (2025)

Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket
por: Bartz-Beielstein, Thomas, et al.
Publicado: (2026)

DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
por: Bagajo, Joshua, et al.
Publicado: (2024)

DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
por: Zeng, Fanwei, et al.
Publicado: (2026)

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries
por: Kurtz, Andrew, et al.
Publicado: (2026)

Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines
por: Cheenepalli, Jayaprakashreddy, et al.
Publicado: (2025)

TiniScript: A Simplified Language for Educational Robotics
por: Ramos, Gabriel Gonzalo Guzman, et al.
Publicado: (2024)

Protecting Spreadsheets Against Fraud
por: Mittermeir, Roland T., et al.
Publicado: (2008)

Speculative Design of Equitable Robotics: Queer Fictions and Futures
por: Axelsson, Minja
Publicado: (2025)

Choreographing Trash Cans: On Speculative Futures of Weak Robots in Public Spaces
por: Axelsson, Minja, et al.
Publicado: (2025)

LLM Scalability Risk for Agentic-AI and Model Supply Chain Security
por: Ahi, Kiarash, et al.
Publicado: (2026)

MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
por: Gu, Yongtong, et al.
Publicado: (2026)

Illuminating the Black Box: Real-Time Monitoring of Backdoor Unlearning in CNNs via Explainable AI
por: Hoang, Tien Dat
Publicado: (2025)

Agentic AI for Financial Crime Compliance
por: Axelsen, Henrik, et al.
Publicado: (2025)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
por: Pasupuleti, Vinil, et al.
Publicado: (2026)

Robot-Assisted Social Dining as a White Glove Service
por: Kashyap, Atharva S, et al.
Publicado: (2026)

Privacy in the Age of AI: A Taxonomy of Data Risks
por: Billiris, Grace, et al.
Publicado: (2025)

Deep Operator Networks for Bayesian Parameter Estimation in PDEs
por: Raj, Amogh, et al.
Publicado: (2025)

Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk
por: Wu, Shuai, et al.
Publicado: (2026)

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
por: Collu, Matteo Gioele, et al.
Publicado: (2023)

ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
por: Tariq, Omer, et al.
Publicado: (2025)

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
por: Qi, Jinhu, et al.
Publicado: (2026)

Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
por: Wasif, Dawood, et al.
Publicado: (2026)

DiMEx: Breaking the Cold Start Barrier in Data-Free Model Extraction via Latent Diffusion Priors
por: Thesia, Yash, et al.
Publicado: (2026)

ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
por: Sahoo, Rishi Raj, et al.
Publicado: (2025)

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use
por: Santillana, Juan S.
Publicado: (2026)

Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
por: Morales, Jaime, et al.
Publicado: (2026)

Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
por: Yu, Hao, et al.
Publicado: (2026)

The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane
por: Akidau, Tyler, et al.
Publicado: (2026)

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
por: Wang, Haochuan Kevin, et al.
Publicado: (2026)

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription
por: Ranjan, Sumit, et al.
Publicado: (2026)

Before the Last Token: Diagnosing Final-Token Safety Probe Failures
por: Doda, Shravan
Publicado: (2026)

Sensitivity Uncertainty Alignment in Large Language Models
por: Hiremath, Prakul Sunil, et al.
Publicado: (2026)

Towards Socio-Technical Topology-Aware Adaptive Threat Detection in Software Supply Chains
por: Welsh, Thomas, et al.
Publicado: (2025)

Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment
por: Fröhling, Leon, et al.
Publicado: (2026)