Beyond Component Testing: Validating Agentic AI Systems
cs.AI, cs.MA, cs.SE
Submitted: 2026-07-31
Updated: 2026-10-08
Code: https://github.com/ProSoDiAC/agentic-ai-validation-mapping-study
Terminology
Sources
- Beyond Task Completion: An Assessment Framework for Evaluating Agentic AI Systems
- Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
- Concrete Problems in AI Safety
- AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
- A Run on Fossil Fuel? Climate Change and Transition Risk
- SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents
- Assurance 2.0: A Manifesto
- Why Do Multi-Agent LLM Systems Fail?
- Decentralized Governance of Autonomous AI Agents
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
- Reactive Multi-agent Coordination using Auction-based Task Allocation and Behavior Trees
- AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
- Effective Strategies for Asynchronous Software Engineering Agents
- Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
- Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
- AI safety via debate
- ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
- Limits to Verification and Validation of Agentic Behavior
- Language Models (Mostly) Know What They Know
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- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems