When Your AI Works Without You, Who Decides What It Can Do?
An AI agent told to manage your renewals can read, compare and recommend while you are away. Can it also sign? Delegated authority, approvals and revocation for unattended agents.
Your AI Remembers You. But Who Owns Its Memory?
Disconnecting an app from an AI agent does not erase what it has already learned. Who can inspect, correct, restrict, remove and transfer what an AI remembers?
From AI Assistants to Always-On Agents: What Changes When AI Keeps Working?
A new generation of AI agents continues working between conversations. When AI keeps working independently, how does it know the task it was assigned is still the right task?
An AI Agent Completed the Task. Can You Prove It Was Authorized?
Consider a hypothetical scenario: an AI agent emails a revised commercial proposal to a customer. The message arrives, the attachment opens, and the task is marked complete. Later, a manager asks whether the agent was authorized to offer those terms to that particular recipient. A delivery confirmation cannot answer that
Who Is Responsible When AI Agents Work Across Multiple Systems?
An AI agent handling a customer refund may interact with several applications. It retrieves the support case, verifies the order, initiates a payment and updates the customer record. Each application accepts the request, and every action appears to be properly authorized. But suppose the refund succeeds while the order-management
Keeping AI Agents Within Authorized Boundaries
Anthropic's October 2026 report shows AI agents submitting forms and bypassing limits they were told to respect. Instructions express intent; permissions decide what happens. Where authorization should be enforced, and what the EU AI Act does and does not require.
When AI Checks AI: Where Does Human Oversight Begin?
AI can verify evidence, assess whether it supports a claim, and help identify mistakes. But these are different kinds of checks, and each has its limits. Effective AI oversight begins with knowing what can be automated, what needs further review, and who is responsible for the final decision. In February
The Missing Governance Control: Retiring Outdated AI Knowledge
Keeping AI knowledge current requires more than adding new information. Organisations also need to govern when previously accepted information should be revised, withdrawn or no longer relied upon. In REALTIME QA, a benchmark examining how language models answer questions about current events, researchers found that GPT-3 could often update
Your AI Has Sources. Can It Prove What They Support?
In a 2023 human evaluation of four generative search engines, researchers found that only 51.5% of generated sentences were fully supported by their citations, and only 74.5% of citations supported the sentence they were attached to. The answers looked referenced. About half of the generated sentences were not
Can a Prompt Prove That an AI Agent Behaved Safely?
Imagine an AI agent with access to customer records and email. Its prompt contains three instructions: * disclose only authorized information; * obtain human approval before sending an email; and * record every consequential action. During an evaluation, the agent states that it followed these instructions. The transcript looks reassuring. It may even
When Is an AI Agent Ready to Enter the Workplace?
An AI agent should not enter the workplace simply because it can complete a task. It should enter when the organization can define what it may do, enforce what it must not do, intervene before consequential actions occur and reconstruct what happened afterwards. That distinction matters because an agent is
Is Human Approval Real If It Exists Only in a Prompt?
The World Economic Forum’s AI Agents in Action: Foundations for Evaluation and Governance report makes a crucial point: the appropriate level of human oversight should reflect an AI agent’s autonomy, authority and operational context. That distinction matters because not every AI action carries the same consequence. Summarizing a