Ethics Review & Impact Assessment

About

The Ethics Review skill provides a structured methodology for assessing the ethical implications of technology projects and AI applications. It equips developers and product owners with tools for stakeholder analysis, harm severity matrices, and ethical impact assessments (EIA). By integrating core principles like beneficence, transparency, and accountability, this skill helps teams identify potential biases, unintended consequences, and privacy risks early in the development lifecycle, ensuring that innovation remains responsible, safe, and aligned with human-centric values.

Key Features

• Detailed stakeholder analysis and harm severity mapping
• Algorithmic impact questioning for identifying systemic bias
• Comprehensive Ethical Impact Assessment (EIA) templates
• Guidance for establishing Ethics Review Boards (ERB)
• AI-specific ethics checklists for fairness, explainability, and safety
• 12 GitHub stars

Use Cases

• Conducting a formal ethics review for a new AI/ML model deployment
• Establishing responsible innovation guidelines and internal ethics protocols
• Evaluating potential harms and unintended consequences for high-stakes software