why is controlling the output of generative ai systems important

Why is it important to control the output of generative AI systems?

These days, the use of generative artificial intelligence (Generative AI), such as ChatGPT, Google Bard, or DALL·E, is rapidly increasing. Consequently, the question why is controlling the output of generative AI systems important, i.e., “why is it important to control the output of generative AI systems?”, is frequently asked.

In fact, when AI is allowed to create information without restrictions, certain risks can arise, such as the spread of misinformation or rumors, the leaking of sensitive information, or unintentionally offending someone. By properly controlling AI models, we can avoid prohibited, misleading, or unhealthy content.

Data privacy and Ethical AI are also important parts of this discussion. User safety could be compromised if AI uses personal information in its output. Furthermore, generative AI can lead to abusive language, bias, and discrimination, which must be prevented. Therefore, experts believe that guidelines from AI Ethics should be followed.

Practical Ways to Control Output

• Use content moderation tools in AI systems.
• Pre-screen or post-process the output to remove any objectionable elements.
• Cross-check any AI findings, suggestions, or information with a recognized source (e.g., government websites, Wikipedia).

Friendly Advice:

If you use generative AI, be sure to double-check its output and never share your personal information or sensitive data. Keep using it responsibly!