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OpenAI Seeks Human ‘Baseline’ – A Risky Data Grab

Artificial Intelligence AI Training Data OpenAI Data Collection Contractors Trade Secrets Data Privacy Machine Learning
January 10, 2026
Source: Wired AI
Viqus Verdict Logo Viqus Verdict Logo 8
Data Risk – A Pandora's Box?
Media Hype 7/10
Real Impact 8/10

Article Summary

OpenAI’s unprecedented initiative to gather real-world work tasks from human contractors is sparking debate regarding the ethics and risks involved in its pursuit of artificial general intelligence (AGI). The company is employing a strategy of hiring individuals across various professions, requesting them to submit actual work examples – including documents, code, and presentations – alongside detailed task descriptions. This data will be used to evaluate AI model performance against a human baseline, a critical step in OpenAI’s efforts to surpass human capabilities. However, this approach comes with substantial risks. Concerns include potential violations of non-disclosure agreements by contractors, the potential for AI labs to be subject to trade secret misappropriation claims if sensitive company information is inadvertently exposed, and the difficulty of completely anonymizing data. The scale of this operation – encompassing potentially billions of dollars in contracting firms – amplifies these worries. Furthermore, the reliance on contractors to determine what constitutes confidential information introduces a significant blind spot, creating vulnerabilities that could expose OpenAI to considerable legal and reputational damage. The practice is particularly sensitive given the growing industry of AI training data provision, a market now valued at $3.5 billion and rapidly expanding.

Key Points

  • OpenAI is collecting real-world work examples from contractors to benchmark AI model performance against human professionals.
  • The initiative involves hiring individuals across various industries and requesting them to submit concrete, anonymized work deliverables.
  • Significant risks remain regarding data security, potential trade secret misappropriation, and contractor liability due to the scale and reliance on human judgment.

Why It Matters

This news is profoundly important because it highlights the complex ethical and legal challenges inherent in the development of advanced AI. OpenAI's reliance on contractors for training data raises serious questions about data provenance, intellectual property rights, and the potential for AI systems to be trained on illegally obtained information. The scale of this operation – involving vast sums of money and a network of potentially vulnerable contractors – underscores the potential for significant harm. For professionals in legal, technology, and data privacy fields, this development demands careful consideration of the evolving landscape of AI development and the associated risks. It impacts not just OpenAI, but the entire industry’s approach to data sourcing and AI model training.

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