OpenAI asks contractors to upload real work from past jobs to benchmark AI models

Reviewed byNidhi Govil

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OpenAI and Handshake AI are requesting third-party contractors submit actual work files from current and previous jobs to establish human performance baselines. Legal experts warn the approach puts the AI lab at risk of trade secret misappropriation claims despite instructions to scrub confidential data.

OpenAI Requests Real Work Files From Contractors

OpenAI is asking third-party contractors to upload real work from past jobs as part of an ambitious effort to evaluate AI performance against human professionals, according to confidential documents obtained by Wired

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. The AI lab, working alongside training data company Handshake AI, instructs workers to describe tasks they've performed at other jobs and submit examples of "real, on-the-job work" they've "actually done"

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. These submissions can include Word documents, PDFs, PowerPoint presentations, Excel spreadsheets, images, and code repositories

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Source: TechCrunch

Source: TechCrunch

Building a Human Performance Baseline for AGI Development

The project appears designed to establish a human performance baseline that OpenAI can compare against its next-generation AI models. In September, the company launched a new evaluation process to measure how its AI models stack up against human professionals across various industries

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. OpenAI considers this a key indicator of progress toward achieving Artificial General Intelligence (AGI), defined as an AI system that outperforms humans at most economically valuable tasks. One confidential document states: "We've hired folks across occupations to help collect real-world tasks modeled off those you've done in your full-time jobs, so we can measure how well AI models perform on those tasks"

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Strategy to Automate White-Collar Tasks

This initiative reflects a broader strategy among AI companies that are hiring contractors to generate high-quality training data, with the ultimate goal of enabling AI models to automate white-collar tasks

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. Real-world tasks submitted by contractors have two components: the task request (what a manager or colleague asked them to do) and the task deliverable (the actual work produced)

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. One example from the OpenAI presentation describes a Senior Lifestyle Manager at a luxury concierge company preparing a two-page PDF draft of a seven-day yacht trip overview to the Bahamas for ultra-high-net-worth clients

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Data Scrubbing Requirements and Intellectual Property Risks

OpenAI instructs contractors to delete proprietary information and personally identifiable information before uploading files, directing them to a ChatGPT tool called "Superstar Scrubbing" to assist with this process

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. The company emphasizes removing "personal information, proprietary or confidential data, material nonpublic information (e.g., internal strategy, unreleased product details)"

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. However, legal experts have raised serious concerns about this approach. Evan Brown, an intellectual property lawyer with Neal & McDevitt, warns that AI agents receiving confidential information from contractors at this scale could face trade secret misappropriation claims

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Source: Wired

Source: Wired

Legal Concerns Over Confidentiality Risks

Brown told Wired that any AI lab taking this approach is "putting itself at great risk" with a method that requires "a lot of trust in its contractors to decide what is and isn't confidential"

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. Contractors who submit documents from previous workplaces to an AI lab, even after scrubbing, could violate their former employers' non-disclosure agreements or expose trade secrets

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. "If they do let something slip through, are the AI labs really taking the time to determine what is and isn't a trade secret?" Brown asks

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. Both OpenAI and Handshake AI declined to comment on the project

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