Impact assessment is a critical step in ensuring AI systems align with ethical principles. Below are key tools and frameworks to guide this process:

1. Ethical Impact Checklist

A structured template to evaluate risks and benefits across domains like privacy, bias, and transparency.

Ethical Impact Checklist
🔗 [Expand your knowledge: EthicalAI/Overview](/EthicalAI/Overview)

2. Algorithmic Fairness Audits

Tools to analyze decision-making patterns and detect discriminatory biases.

Algorithmic Fairness Audits
🔍 [Learn more about fairness metrics](/Documentation/en/Explore/Community/Articles/EthicalAI/Tools/FairnessMetrics)

3. Privacy Impact Assessment (PIA)

Frameworks like GDPR compliance tools or differential privacy calculators.

Privacy Impact Assessment
🔒 [Explore data protection guidelines](/Documentation/en/Explore/Community/Articles/DataProtection)

4. Societal Risk Analysis Tools

Assess long-term effects on communities, employment, and social dynamics.

Societal Risk Analysis
📊 [View case studies on AI ethics](/Documentation/en/Explore/Community/Articles/EthicalAI/CaseStudies)

For deeper insights, refer to our AI Ethics Framework Repository.