Conclusion
Well done on making it this far! You’ve learned a lot in this lesson, beginning with understanding why content moderation matters for apps and platforms, and why automated moderation techniques are needed, especially in today’s generative AI era.
You’ve also learned about the Azure Content platform and the features it offers for building an automated content moderation technique, and you should now understand some of the important ethical considerations in building and maintaining necessary content moderation solutions.
The key takeaways from this lesson are:
- Implementing the right content moderation solutions for apps in domains like social media, gaming, and e-commerce is necessary.
- In the current generative AI era, it’s essential to choose a content moderation solution that leverages both automated content moderators using AI, as well as human moderators, to process and analyze large amounts of data effectively.
- Azure Content Safety is a powerful content moderator that uses AI to detect and label whether the content is safe. It also provides a lot of customization options to tweak the content moderation policies based on the requirements of the platform.
- While building automated content moderation solutions, the platform should include significant ethical considerations to ensure user satisfaction and trust with platform content moderation policies.
In the next lesson, you’ll learn about text moderation and how to implement it using Azure Content Safety API. This is a crucial aspect of content moderation, and understanding it will further enhance your knowledge and skills in this field.