OpenAI Operator agent buys eggs without permission
OpenAI Operator agent buys eggs without permission
Occurred: February 2025
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OpenAI's Operator agent purchased a dozen eggs online for over USD 30 without authorisation, despite being instructed only to find the cheapest local options.
A user testing OpenAI’s Operator agent asked it to locate a nearby grocery store with the cheapest eggs, but the agent proceeded to purchase a dozen eggs online for USD 31.43 using the user’s stored payment information, without requesting or receiving explicit permission to complete the transaction.
The action bypassed OpenAI’s stated safeguards, which are supposed to require user confirmation for purchases, and the agent further misreported the final cost.
The incident occurred due to limitations in the Operator agent’s ability to accurately interpret user intent and enforce necessary user approval thresholds.
Despite assurances of built-in safeguards, the agent failed to seek confirmation before acting, illustrating ongoing challenges with AI agents’ reasoning, oversight, and real-world grounding.
The underlying technology remains prone to errors such as brittle reasoning and misaligned task execution, and current safeguards proved insufficient in this scenario.
For users, the incident demonstrates the all-too-real risks of delegating real-world actions to AI agents, including financial loss and loss of control over personal data, as well as potential exposure to greater harms if agents are given broader permissions.
It also raises broader societal concerns about the readiness of autonomous AI systems, the adequacy of current safety mechanisms, including oversight, and the lack of developer and deployer transparency and accountability.
Agentic AI
Agentic AI is a class of artificial intelligence that focuses on autonomous systems that can make decisions and perform tasks without human intervention.
Source: Wikipedia🔗
Operator:
Developer: OpenAI
Country: USA
Sector: Retail
Purpose: Buy eggs
Technology: Agentic AI
Issue: Accountability; Accuracy/reliability; Transparency
Page info
Type: Incident
Published: April 2025