Comprehensive evaluation framework for responsible AI use cases aligned with PALO principles
Tell us about your AI project. This information helps contextualize your assessment and align it with your business strategy.
Describe how your AI system handles data and what type of model it uses. This is critical for privacy and transparency assessments.
Identify who interacts with the AI system and how governance is structured.
Set measurable targets for your AI system. These KPIs help track compliance and performance over time.
Configure risk classification and select applicable ethical principles.
Review your assessment summary. You can switch to Expert Mode to make detailed adjustments or export your data.
Start with a clear project identifier including the owning department and date for tracking purposes.
Does this align with both business goals AND societal well-being objectives? Evaluate sustainable value creation.
Define measurable inefficiencies and ethical risks being addressed. Quantify the problem.
Specify where human oversight occurs. Does the AI augment or replace human decision-making?
Assess data representativeness for fairness across demographic groups. Document consent mechanisms.
Is model explainability appropriate for the risk level? Document known limitations and failure modes.
Balance business metrics (ROI) with ethical value (fairness, trust, societal benefit). Avoid ROI myopia.
Calculate energy consumption per inference. Consider lifecycle environmental impact and carbon offset strategies.
Identify vulnerable populations. Assess whether AI enhances or restricts their agency and dignity.
Define clear roles, responsibilities, and accountability structures. Document RACI matrix.
If YES to any: trigger comprehensive Phase 2 assessment. Document rationale for Go/No-Go decision.
Map to relevant standards: ISO 42001, ISO 42005, OECD AI Principles, EU AI Act, NIST AI RMF.
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: π’ On Target | π‘ Close | π΄ Needs Improvement
Establish channels for continuous feedback. Create redress mechanisms for users harmed by AI.
Plan end-of-life: secure data disposal, anonymization, stakeholder notification, dependency mitigation.
Dynamic assessment based on your inputs. Complete more fields for accurate scoring.