Video Generation → Bias Check → Approval Workflow
Generate videos with AI tools, automatically screen for bias and inappropriate content, then route through an approval process before publishing.
Workflow Steps
Runway ML
Generate video content from text prompts
Use Runway ML's text-to-video API to generate video content based on your marketing briefs or creative prompts. Configure the API to save generated videos to a cloud storage location with consistent naming conventions.
OpenAI GPT-4 Vision
Analyze video frames for bias and stereotypes
Extract key frames from generated videos and feed them to GPT-4 Vision along with a detailed prompt asking it to identify potential bias, stereotypes, inappropriate representations, or problematic elements. Have it provide specific timestamps and explanations.
Notion
Create review database entry
Automatically create a new page in your Notion content review database with the video, GPT-4's bias analysis, risk level assessment, and approval status. Set up properties for reviewer assignment, approval status, and publication date.
Slack
Route to appropriate reviewer based on risk
Send Slack notifications to different reviewer groups based on GPT-4's risk assessment. Low-risk content goes to junior reviewers, high-risk content gets escalated to senior reviewers or legal team. Include direct links to the Notion page for easy access.
Workflow Flow
Step 1
Runway ML
Generate video content from text prompts
Step 2
OpenAI GPT-4 Vision
Analyze video frames for bias and stereotypes
Step 3
Notion
Create review database entry
Step 4
Slack
Route to appropriate reviewer based on risk
Why This Works
Prevents problematic AI-generated content from reaching audiences by combining automated bias detection with human review, while maintaining workflow efficiency through smart routing based on risk levels.
Best For
Marketing teams and content creators using AI video generation who need to ensure brand-safe, inclusive content before publication
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