Conclusion

This particular lesson emphasized advanced content moderation techniques, like multi-modal content moderation. You learned what it is and how to implement it. Later on, the lesson touched on the limitations of AI content moderation systems like Azure AI Content Safety, and ways you can overcome this limitation by using humans-in-the-loop to ensure that your moderation system is scalable, quick, and reliable.

The key takeaway points from this lesson are:

• Understanding what multi-modal content moderation is, and why it’s becoming essential in current platforms.
• Understanding real world limitations of Azure Content Safety, and how you can overcome them by using humans-in-the-loop.
• Learning how to implement a multi-modal content moderation system for the app — and add-on humans-in-the-loop feature — to make your moderation system more reliable and robust.

Content moderation is a wide ever-changing field especially with new advancements in machine learning. It’s incumbent for developers to stay current with these advancements not so much for the sake of reviews, but rather, for the safety of their own users.