πŸ“Š Compare
1
Project Info
2
Data & Model
3
Users & Governance
4
KPIs
5
Configuration
6
Review

πŸ“Œ 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.

Give your AI project a clear, descriptive name
Describe the business challenge this AI addresses

πŸŽ›οΈ 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.

πŸ‘₯ Users & Governance

Identify who interacts with the AI system and how governance is structured.

πŸ“Š Key Performance Indicators

Set measurable targets for your AI system. These KPIs help track compliance and performance over time.

Model accuracy metric
Equal treatment across groups
Data breaches count
Availability metric

βš™οΈ 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.

Step 1 of 6

πŸ“‹ Context & Strategy

πŸ“ŒProject Name

PALO Tip:

Start with a clear project identifier including the owning department and date for tracking purposes.

🎯Strategic Alignment

PALO Principle: Societal Well-being

Does this align with both business goals AND societal well-being objectives? Evaluate sustainable value creation.

βš™οΈProblem Statement

PALO Tip:

Define measurable inefficiencies and ethical risks being addressed. Quantify the problem.

πŸ”„Selected Workflow

PALO Principle: Human Agency

Specify where human oversight occurs. Does the AI augment or replace human decision-making?

πŸ”§ Core Inputs & Data

πŸ›‘οΈData Governance & Privacy

PALO Principle: Privacy & Non-Discrimination

Assess data representativeness for fairness across demographic groups. Document consent mechanisms.

πŸŽ›οΈModel Transparency & Robustness

PALO Principle: Transparency & Safety

Is model explainability appropriate for the risk level? Document known limitations and failure modes.

πŸ’ŽValue Proposition

PALO Tip: Holistic Value

Balance business metrics (ROI) with ethical value (fairness, trust, societal benefit). Avoid ROI myopia.

🌱Security & Environment

PALO Principle: Environmental Sustainability

Calculate energy consumption per inference. Consider lifecycle environmental impact and carbon offset strategies.

πŸ‘₯ Users & Stakeholders

πŸ‘€End Users & Vulnerable Groups

PALO Principle: Human-Centricity

Identify vulnerable populations. Assess whether AI enhances or restricts their agency and dignity.

πŸ›οΈTeam & Governance Roles

PALO Principle: Accountability

Define clear roles, responsibilities, and accountability structures. Document RACI matrix.

⚠️Ethical Screening Red Flags

PALO Phase 1 Gate:

If YES to any: trigger comprehensive Phase 2 assessment. Document rationale for Go/No-Go decision.

βœ…Compliance & Dependencies

PALO Dimension: Legal Conformity

Map to relevant standards: ISO 42001, ISO 42005, OECD AI Principles, EU AI Act, NIST AI RMF.

πŸ“Š PALO Integrated KPIs

πŸ’‘ How KPIs Impact Your Score

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 | πŸ”΄ Needs Improvement

πŸ“ˆTechnical KPIs β†’ Impacts: Transparency & Safety

Model accuracy. Higher = better predictions.
Performance degradation over time. Lower = more stable.
System availability. Critical for reliability.
Resistance to malicious inputs. Security measure.

πŸ’ΌBusiness KPIs β†’ Impacts: ISO 42001 Alignment

Return on investment. Business value justification.
User uptake rate. Measures acceptance.
Customer satisfaction. User experience quality.
Economic benefit. Document for business case.

βš–οΈEthical KPIs β†’ Impacts: Fairness, Data Governance, Environment

Equal treatment across groups. 1.0 = perfect fairness.
User understanding of AI decisions. Transparency measure.
Data breaches or violations. Zero is ideal.
Environmental impact. Lower = more sustainable.

πŸ”— Stakeholders & Feedback

πŸ“’Stakeholders & Feedback Loops

PALO Principle: Accountability

Establish channels for continuous feedback. Create redress mechanisms for users harmed by AI.

πŸ’°Cost & Sustainability

PALO Phase 5: Decommissioning

Plan end-of-life: secure data disposal, anonymization, stakeholder notification, dependency mitigation.

πŸ“Š PALO Risk Assessment Dashboard

Dynamic assessment based on your inputs. Complete more fields for accurate scoring.

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Overall Compliance Score
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PALO Dimension Scores
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Framework Alignment
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