Safety is Non-Compositional: A Formal Framework for Capability-Based AI Systems
Fuente:
arXiv
Saved in:
| Main Author: | Spera, Cosimo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Workflow Automation to Capability Closure: A Formal Framework for Safe and Revenue-Aware Customer Service AI
by: Spera, Cosimo
Published: (2026)
by: Spera, Cosimo
Published: (2026)
Capability Safety as Datalog: A Foundational Equivalence
by: Spera, Cosimo
Published: (2026)
by: Spera, Cosimo
Published: (2026)
Safety as Computation: Certified Answer Reuse via Capability Closure in Task-Oriented Dialogue
by: Spera, Cosimo
Published: (2026)
by: Spera, Cosimo
Published: (2026)
Reversing the Paradigm: Building AI-First Systems with Human Guidance
by: Spera, Cosimo, et al.
Published: (2025)
by: Spera, Cosimo, et al.
Published: (2025)
Redefining CX with Agentic AI: Minerva CQ Case Study
by: Agrawal, Garima, et al.
Published: (2025)
by: Agrawal, Garima, et al.
Published: (2025)
Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations
by: Agrawal, Garima, et al.
Published: (2024)
by: Agrawal, Garima, et al.
Published: (2024)
BlueGlass: A Framework for Composite AI Safety
by: Nandigramwar, Harshal, et al.
Published: (2025)
by: Nandigramwar, Harshal, et al.
Published: (2025)
Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
by: Allegrini, Edoardo, et al.
Published: (2025)
by: Allegrini, Edoardo, et al.
Published: (2025)
Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems
by: Sun, Yuan
Published: (2026)
by: Sun, Yuan
Published: (2026)
A Conceptual Framework for AI Capability Evaluations
by: Carro, María Victoria, et al.
Published: (2025)
by: Carro, María Victoria, et al.
Published: (2025)
With Great Capabilities Come Great Responsibilities: Introducing the Agentic Risk & Capability Framework for Governing Agentic AI Systems
by: Khoo, Shaun, et al.
Published: (2025)
by: Khoo, Shaun, et al.
Published: (2025)
Evaluating Human-AI Safety: A Framework for Measuring Harmful Capability Uplift
by: Vaccaro, Michelle, et al.
Published: (2026)
by: Vaccaro, Michelle, et al.
Published: (2026)
HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study
by: Pitale, Mandar, et al.
Published: (2025)
by: Pitale, Mandar, et al.
Published: (2025)
Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems
by: Gruteser, Jan, et al.
Published: (2024)
by: Gruteser, Jan, et al.
Published: (2024)
A Framework for Evaluating Emerging Cyberattack Capabilities of AI
by: Rodriguez, Mikel, et al.
Published: (2025)
by: Rodriguez, Mikel, et al.
Published: (2025)
SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents
by: Zhan, Simon Sinong, et al.
Published: (2025)
by: Zhan, Simon Sinong, et al.
Published: (2025)
The AI Pyramid A Conceptual Framework for Workforce Capability in the Age of AI
by: Khatri, Alok, et al.
Published: (2026)
by: Khatri, Alok, et al.
Published: (2026)
DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agents
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability
by: Wang, Ruida, et al.
Published: (2025)
by: Wang, Ruida, et al.
Published: (2025)
Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
by: Christensen, Johann Maximilian, et al.
Published: (2026)
by: Christensen, Johann Maximilian, et al.
Published: (2026)
OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
by: Vijayvargiya, Sanidhya, et al.
Published: (2025)
by: Vijayvargiya, Sanidhya, et al.
Published: (2025)
AI Safety is Stuck in Technical Terms -- A System Safety Response to the International AI Safety Report
by: Dobbe, Roel
Published: (2025)
by: Dobbe, Roel
Published: (2025)
Semantic Entanglement in Vector-Based Retrieval: A Formal Framework and Context-Conditioned Disentanglement Pipeline for Agentic RAG Systems
by: Loghmani, Nick
Published: (2026)
by: Loghmani, Nick
Published: (2026)
AI Safety as Control of Irreversibility: A Systems Framework for Decision-Energy and Sovereignty Boundaries
by: Shu, Wesley, et al.
Published: (2026)
by: Shu, Wesley, et al.
Published: (2026)
Domain-Agnostic Scalable AI Safety Ensuring Framework
by: Kim, Beomjun, et al.
Published: (2025)
by: Kim, Beomjun, et al.
Published: (2025)
X-RAY: Mapping LLM Reasoning Capability via Formalized and Calibrated Probes
by: Tianxi, Gao, et al.
Published: (2026)
by: Tianxi, Gao, et al.
Published: (2026)
SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems
by: Zhang, Wenxiao, et al.
Published: (2024)
by: Zhang, Wenxiao, et al.
Published: (2024)
PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
by: Liu, Zicheng, et al.
Published: (2025)
by: Liu, Zicheng, et al.
Published: (2025)
A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanisms
by: Acharya, Nirajan, et al.
Published: (2026)
by: Acharya, Nirajan, et al.
Published: (2026)
FormalGeo: An Extensible Formalized Framework for Olympiad Geometric Problem Solving
by: Zhang, Xiaokai, et al.
Published: (2023)
by: Zhang, Xiaokai, et al.
Published: (2023)
Safety Cases: How to Justify the Safety of Advanced AI Systems
by: Clymer, Joshua, et al.
Published: (2024)
by: Clymer, Joshua, et al.
Published: (2024)
Emerging Practices in Frontier AI Safety Frameworks
by: Buhl, Marie Davidsen, et al.
Published: (2025)
by: Buhl, Marie Davidsen, et al.
Published: (2025)
A Defect Classification Framework for AI-Based Software Systems (AI-ODC)
by: Alannsary, Mohammed O.
Published: (2025)
by: Alannsary, Mohammed O.
Published: (2025)
Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
by: Zhou, Richeng, et al.
Published: (2026)
by: Zhou, Richeng, et al.
Published: (2026)
FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware
by: Kang, Minwoo, et al.
Published: (2024)
by: Kang, Minwoo, et al.
Published: (2024)
Fighting AI with AI: Leveraging Foundation Models for Assuring AI-Enabled Safety-Critical Systems
by: Mavridou, Anastasia, et al.
Published: (2025)
by: Mavridou, Anastasia, et al.
Published: (2025)
The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI
by: Baciak, Mark, et al.
Published: (2026)
by: Baciak, Mark, et al.
Published: (2026)
A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification
by: Nasir, Ahmed, et al.
Published: (2025)
by: Nasir, Ahmed, et al.
Published: (2025)
AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories
by: Yu, Ning, et al.
Published: (2025)
by: Yu, Ning, et al.
Published: (2025)
Investigating Language Model Capabilities to Represent and Process Formal Knowledge: A Preliminary Study to Assist Ontology Engineering
by: Akl, Hanna Abi
Published: (2025)
by: Akl, Hanna Abi
Published: (2025)
Similar Items
-
From Workflow Automation to Capability Closure: A Formal Framework for Safe and Revenue-Aware Customer Service AI
by: Spera, Cosimo
Published: (2026) -
Capability Safety as Datalog: A Foundational Equivalence
by: Spera, Cosimo
Published: (2026) -
Safety as Computation: Certified Answer Reuse via Capability Closure in Task-Oriented Dialogue
by: Spera, Cosimo
Published: (2026) -
Reversing the Paradigm: Building AI-First Systems with Human Guidance
by: Spera, Cosimo, et al.
Published: (2025) -
Redefining CX with Agentic AI: Minerva CQ Case Study
by: Agrawal, Garima, et al.
Published: (2025)