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OpenAI Accidentally Deletes Evidence

According to reports from TechCrunch and other sources, OpenAI accidentally deleted crucial evidence in its ongoing copyright lawsuit with The New York Times and other news organizations, complicating legal proceedings and raising questions about data management in high-stakes litigation.


Accidental Evidence Deletion 

On November 14, 2024, OpenAI engineers inadvertently erased crucial evidence stored on one of two virtual machines provided to attorneys representing The New York Times and Daily News. This deletion occurred after legal teams had invested over 150 person-hours reviewing training data for potential copyright infringement since November 1. The incident resulted in:

  • Loss of folder structure and file names, rendering recovered data unreliable for tracing sources

  • Compromise of approximately one week's worth of expert and legal analysis

  • Necessity for plaintiffs to completely recreate their work from scratch

  • Significant impact on the ability to determine where copied articles were used in building AI models

The affected virtual machine was one of two dedicated systems with improved computing resources that OpenAI had provided to allow news organizations to perform their searches


Legal Implications for OpenAI 

The accidental deletion has prompted attorneys for the news organizations to request that OpenAI conduct the searches itself, arguing the company is best positioned to search its own datasets. This request shifts the burden of evidence gathering onto OpenAI, potentially impacting the lawsuit's dynamics. In response, OpenAI has:

  • Indicated disagreement with the characterizations made in the legal filing

  • Announced plans to file a formal response

  • Denied responsibility for the deletion, suggesting the plaintiffs' requested configuration change led to the technical issue

The incident was disclosed in a letter to the U.S. District Court for the Southern District of New York on November 20, 2024, bringing the matter to the court's attention and potentially influencing future proceedings.


Data Recovery Efforts

Despite the accidental deletion, OpenAI managed to recover most of the raw data from the affected virtual machine. However, the recovery was incomplete, as the folder structure and file names were irretrievably lost. This partial recovery has rendered the data unreliable for determining how the plaintiffs' articles were used in building OpenAI's models. The incident has forced the legal teams to:

  • Restart their analysis from scratch

  • Reinvest significant person-hours and computing time

  • Redo approximately one week's worth of expert and legal analysis

OpenAI maintains that no files were actually lost, claiming that the incident resulted from implementing a configuration change requested by the plaintiffs that affected one hard drive meant to be used as temporary cache.


Broader Lawsuit Context 

The legal battle between OpenAI and news organizations is part of a larger trend challenging the use of copyrighted material in AI training. This case highlights the growing tension between traditional media and AI companies, as AI-generated content increasingly competes with human-authored journalism. Key issues at stake include:

  • Fair use doctrine and its application to AI training data

  • Intellectual property rights in the digital age

  • The future of content creation and journalism

  • Potential damage to news organizations' relationships with readers

  • The need for clear legal frameworks governing AI and copyright

The outcome of this lawsuit could have far-reaching implications for the AI industry, content creators, and the broader media landscape.


The accidental deletion of evidence by OpenAI underscores the complex interplay between cutting-edge technology and traditional legal processes, revealing critical vulnerabilities in data management during high-stakes litigation. As news organizations and AI developers clash over the boundaries of copyright law in the digital age, this case serves as a cautionary tale about the need for meticulous procedural safeguards in handling sensitive data. Beyond the immediate legal ramifications, this lawsuit encapsulates broader societal questions about intellectual property, fair use, and the ethical use of AI in content creation. As the court proceedings unfold, stakeholders across industries must reflect on how to strike a balance between innovation and protecting the rights of creators—a challenge that will undoubtedly shape the future of media and technology.


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