Let's start with your project
Tell us about your AI project. This information helps contextualize your assessment and align it with your business strategy.
Data & Model Details
Describe how your AI system handles data and what type of model it uses. This is critical for privacy and transparency assessments.
Users & Governance
Identify who interacts with the AI system and how governance is structured.
Key Performance Indicators
Set measurable targets for your AI system. These KPIs help track compliance and performance over time.
Risk Configuration
Configure risk classification and select applicable ethical principles.
Review & Complete
Review your assessment summary. You can switch to Expert Mode to make detailed adjustments or export your data.
Context & Strategy
Project Name
Start with a clear project identifier including the owning department and date for tracking purposes.
Strategic Alignment
Does this align with both business goals AND societal well-being objectives? Evaluate sustainable value creation.
Problem Statement
Define measurable inefficiencies and ethical risks being addressed. Quantify the problem.
Selected Workflow
Specify where human oversight occurs. Does the AI augment or replace human decision-making?
Core Inputs & Data
Data Governance & Privacy
Assess data representativeness for fairness across demographic groups. Document consent mechanisms.
Model Transparency & Robustness
Is model explainability appropriate for the risk level? Document known limitations and failure modes.
Value Proposition
Balance business metrics (ROI) with ethical value (fairness, trust, societal benefit). Avoid ROI myopia.
Security & Environment
Calculate energy consumption per inference. Consider lifecycle environmental impact and carbon offset strategies.
Users & Stakeholders
End Users & Vulnerable Groups
Identify vulnerable populations. Assess whether AI enhances or restricts their agency and dignity.
Team & Governance Roles
Define clear roles, responsibilities, and accountability structures. Document RACI matrix.
Ethical Screening Red Flags
If YES to any: trigger comprehensive Phase 2 assessment. Document rationale for Go/No-Go decision.
Compliance & Dependencies
Map to relevant standards: ISO 42001, ISO 42005, OECD AI Principles, EU AI Act, NIST AI RMF.
PALO Integrated KPIs
These KPIs directly influence your PALO Dimension Scores and Framework Alignment. Each KPI has a target value - meeting targets increases your compliance score. Status indicators show: On Target | Close | Needs Improvement
Technical KPIs -> Impacts: Transparency & Safety
Business KPIs -> Impacts: ISO 42001 Alignment
Ethical KPIs -> Impacts: Fairness, Data Governance, Environment
Stakeholders & Feedback
Stakeholders & Feedback Loops
Establish channels for continuous feedback. Create redress mechanisms for users harmed by AI.
Cost & Sustainability
Plan end-of-life: secure data disposal, anonymization, stakeholder notification, dependency mitigation.
PALO Risk Assessment Dashboard
Dynamic assessment based on your inputs. Complete more fields for accurate scoring.