"OpenAI and training data company Handshake AI are asking third-party contractors to upload real work that they did in past and current jobs, according to a report in Wired. This appears to be part of a larger strategy across AI companies that are hiring contractors to generate high-quality training data in the hopes that this will eventually allow their models to automate more white-collar work."
"In OpenAI's case, a company presentation reportedly asks contractors to describe tasks they've performed at other jobs and upload examples of "real, on-the-job work" that they've " actually done." These examples can include "a concrete output (not a summary of the file, but the actual file), e.g., Word doc, PDF, Powerpoint, Excel, image, repo." The company reportedly instructs contractors to delete proprietary and personally identifiable information before uploading, and it points them to a ChatGPT "Superstar Scrubbing" tool to do so."
OpenAI and Handshake AI ask third-party contractors to upload actual work products from past and current jobs to build high-quality training datasets. Contractors are asked to describe tasks they performed and to submit concrete output files such as Word documents, PDFs, PowerPoints, Excel sheets, images, or code repositories. Contractors are instructed to remove proprietary and personally identifiable information before uploading and are directed to use a ChatGPT "Superstar Scrubbing" tool. The effort is part of a broader push to generate data that could enable automation of white-collar tasks. Legal observers warn the approach creates significant intellectual property and confidentiality risks because it relies on contractors to decide what is confidential.
Read at TechCrunch
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