Agents acting beyond intended scope or context
Agents may take actions that seem reasonable to them but are not what humans intended due to lack of context.
Implement robust transparency and control mechanisms, and develop reliable measures for value alignment to ensure agents understand and respect human context and intentions.
AI agents autonomously pursue goals in ways that seem reasonable to the system but are not what humans actually wanted, or even actively work against users' interests.
Agents can lack the nuanced understanding of human context, leading to unintended consequences like deleting files during organization or making decisions that violate user interests, even when pursuing a seemingly aligned goal.
AI agents can misinterpret goals or lack context, leading to actions that are not aligned with human intentions. This anti-pattern highlights the risk of agents overstepping boundaries or acting against user interests.
When the agent's task is strictly defined with no room for interpretation and minimal potential for negative side effects.
- Our framework for developing safe and trustworthy agents ↗Anthropic · Anthropic News · Aug 5, 2025 · paraphrased
First seen on Subvolts Aug 5, 2025. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Our framework for developing safe and trustworthy agentsAnthropic · Anthropic News · Aug 5, 2025
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicConstrain external content access for agentsLimit agent access to external content sources to reduce risk from untrusted data. · 10 min
- HeuristicContain agents by limiting what they can doSupervise agent capabilities via access boundaries like sandboxes and VMs, not just behavior. · 15 min
- WorkflowBuild an AI agent evaluation pipeline in one hourCompress weeks of AI agent testing into one hour using open-source tools and automated pipelines. · 60 min
- HeuristicAI agents need time-awareness for runtime controlAI agents require a sense of time to predict, estimate, and control their own actions and execution duration. · 5 min
- HeuristicComposable controls for agent autonomy and safetyUse composable controls that perform single jobs, enabling agents to run with autonomy at appropriate safety levels. · 10 min
- HeuristicDefine agent approval loops as product design decisionsFrame human-in-the-loop requirements for agents as product design choices, not technical limitations. · 10 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- Anthropic (Anthropic News). Subvolts collected, normalized and credited it; the link above opens the original.