OpenAI is testing the content audit function: reducing the development of content strategy to a few hours, reducing the mental burden of auditors.

Thanks CTOnews.com net friend South China Wu Yanzu, Wu Fei brother's left hand clue delivery! CTOnews.com AI startup OpenAI says GPT-4 is testing content moderation capabilities, an approach anyone with access to the OpenAI API can use to create their own AI-assisted moderation system.

CTOnews.com learned from OpenAI that GPT-4 can be used to develop appropriate content policies and can tag or judge posts faster. The company has been testing the technology and inviting customers to experiment as well. With this system, the process of developing and developing content strategies was reduced from months to hours.

OpenAI claims that this feature provides a more positive vision for the future of digital platforms, where AI can help regulate online traffic according to platform-specific policies and relieve the mental burden of a large number of human reviewers.

AI auditing (LLM) is equivalent to junior auditor (pool B) efficiency Compared with traditional auditing, OpenAI auditing has the following advantages:

Labels are more consistent. Content policies evolve and are often very detailed. People may have different interpretations of the policy, or some moderators may take longer to digest new policy changes, resulting in label inconsistency. In contrast, LLM's are sensitive to subtle differences in wording and can adapt immediately to policy updates, providing users with a consistent content experience.

Faster feedback loops. The cycle of policy renewal-developing new policies, labeling, and gathering human feedback-is often a long and drawn-out process. GPT-4 can shorten this process to a few hours, enabling faster response to new hazards.

Lighten the mental burden. Continued exposure to harmful or objectionable content may cause emotional exhaustion and psychological stress to reviewers. Automating such work benefits the well-being of the people involved.