How OpenAI, ChatGPT Fuel Data Labeling Work and Economic Impact

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Nov 03, 2023

How OpenAI, ChatGPT Fuel Data Labeling Work and Economic Impact

In episode 50 of the Acceleration Economy Minute, Kieron Allen explains how

In episode 50 of the Acceleration Economy Minute, Kieron Allen explains how OpenAI, the developer of ChatGPT, has hired a significant number of contractors to conduct data labeling.

This episode of the Acceleration Economy Minute is sponsored by Acceleration Economy's Digital CIO Summit, taking place April 4-6. Register for the free event here. Tune in to the event to hear from CIO practitioners discuss their modernization and growth strategies.

00:34 — OpenAI, the company behind ChatGPT, has ramped up hiring around the world. The company has brought in nearly 1,000 remote contractors over the past six months. About 60% of these contractors have been tasked with conducting data labeling.

01:15 Within artificial intelligence (AI) and machine learning (ML), data labeling is the process of identifying raw data. Once the data is identified, the process includes adding context, meaningful information, and labels to this data so that ML systems can learn more quickly, which is crucial in the development of generative AI.

02:06 — Kieron notes the increase in demand for data labelers makes way for new talent in the AI/ML space and will have an economic impact on other countries.

Which companies are the most important vendors in AI and Hyperautomation? Click here to see the Acceleration Economy Top 10 AI/Hyperautomation Short List, as selected by our expert team of practitioner-analysts

This episode of the Acceleration Economy Minute is sponsored by Acceleration Economy's Digital CIO Summit, taking place April 4-6. Register for the free event here. Tune in to the event to hear from CIO practitioners discuss their modernization and growth strategies. 00:34 — 01:15 — 02:06 —