How to Build Trustworthy AI
AI Summary
Video Summary: Ensuring Trustworthy AI Models
- Introduction
- Building and deploying AI models is a common practice.
- Issues can arise post-deployment, such as inappropriate behavior.
- Problem Statement
- AI models can generate unexpected and harmful content.
- Example: An AI starts using profane language.
- Key Considerations for Trustworthy AI
- Importance of ensuring that AI remains trustworthy once released.
- Strategies for monitoring and mitigating risks after deployment.
For detailed insights and methodologies, click on the link to watch the full video.