Automated content moderation for websites
TEXT_INPUT:Prompt the user to input the content that needs to be moderated;;CHATGPT:Prompt ChatGPT to generate a list of potentially harmful content based on the user input;;TEXT_INPUT:Allow the user to input a list of approved keywords or phrases that can be exempted from moderation;;HTTP_REQUEST:Send a request to the Perspective API to evaluate the toxicity score of the user-generated content;;DISPLAY_OUTPUT:Display the results of content moderation, highlighting potentially harmful content and the toxicity scores for each item
Generative AI models like Language Learning Models (LLMs) and image generators can automate content moderation in numerous ways. They can be trained to filter out inappropriate text or images, improving online safety. For instance, an LLM like GPT-3 by OpenAI can be trained to identify and flag harmful or offensive language within user-submitted content, such as comments or reviews. This allows for real-time moderation and reduces reliance on manual review processes. Similar principles apply to image generators. Trained on a diverse range of visual data, they can effectively discern and prevent the uploading or sharing of unsuitable images. Both LLMs and image generators can be continually adapted and refined to respond to evolving content conditions, adding flexibility and scalability to content moderation strategies.
How to build with Clevis
This is an example application that you can build using Clevis, a versatile tool for developing AI applications. The app is designed to automate the process of moderating user-generated content on websites.
The first step in this app is Text Input, which prompts the user to input the content that needs to be moderated. The second step brings ChatGPT into action. The AI model generates a list of potentially harmful content based on the user input. ChatGPT, being an advanced language model by OpenAI, is proficient in understanding and generating human-like text.
Next in the sequence is another Text Input step. Here, the user lays out a list of approved keywords or phrases. These words are considered safe and are exempted from moderation.
The app then proceeds to the Http Request step, contacting the Perspective API. This API is specifically designed to evaluate the toxicity score of the user-generated content. Thus, it critically scrutinizes the content, identifying any potential risks.
Finally, the Display Output step displays the results of content moderation. This outcome includes highlighting potentially harmful content along with the toxicity scores for each item.
With Clevis, you can build similar apps tailored to your needs.