Detecting workplace discrimination patterns using advanced AI analysis
Workflow Description
An automated workflow that monitors employee interactions across communication channels and internal data to identify discrimination indicators and bias patterns. It delivers detailed visual reports based on advanced language model analysis and actionable insights.
How it works
- 1.Trigger manual or automatic data scan from multiple organizational sources
- 2.Process text using advanced language models to detect discrimination markers and bias signals
- 3.Merge and categorize findings by risk severity and discrimination type
- 4.Generate interactive visual charts showing identified patterns and trends
- 5.Produce comprehensive report with evidence documentation and remediation recommendations
Use cases
- Audit hiring policies and promotion decisions for fairness and consistency
- Screen internal communications to identify biased or harmful language patterns
- Create immediate alerts for HR when suspicious behaviors are detected
- Build historical evidence records for preventive action and compliance documentation
Requirements
- Active OpenAI account with advanced GPT model access for linguistic analysis
- Authorized access to employee data and internal communications channels
- Knowledge of applicable anti-discrimination laws and compliance requirements
- Trained HR team to appropriately respond to and act on findings
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (38)
When clicking ‘Test workflow’
Manual Trigger
OpenAI Chat Model1
OpenAI
OpenAI Chat Model2
OpenAI
Merge
Merge
OpenAI Chat Model
OpenAI
SET company_name
Set
Define dictionary of demographic keys
Set
ScrapingBee Search Glassdoor
HTTP Request
Extract company url path
HTML Page
ScrapingBee GET company page contents
HTTP Request
Extract reviews page url path
HTML Page
ScrapingBee GET Glassdoor Reviews Content
HTTP Request
Extract Overall Review Summary
HTML Page
Extract Demographics Module
HTML Page
Extract overall ratings and distribution percentages
Information Extractor
Extract demographic distributions
Information Extractor
Define contributions to variance
Set
Set variance and std_dev
Set
Calculate P-Scores
Code
Sort Effect Sizes
Set
Calculate Z-Scores and Effect Sizes
Set
Format dataset for scatterplot
Code
Specify additional parameters for scatterplot
Set
Quickchart Scatterplot
HTTP Request
QuickChart Bar Chart
Quick Chart
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
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Sticky Note3
Sticky Note
Sticky Note4
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Sticky Note6
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Sticky Note8
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Sticky Note9
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Sticky Note10
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Sticky Note11
Sticky Note
Sticky Note12
Sticky Note
Text Analysis of Bias Data
LLM Chain