AI Ethics Assessment Tool: Interactive Checklist 2026

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๐Ÿ“… Published: June 2026 | ๐Ÿท๏ธ Interactive Tool, AI Ethics, Assessment

โš–๏ธ AI Ethics Assessment Tool: Interactive Checklist 2026

Reviewed: June 4, 2026

Rate your AI system across 6 ethical dimensions. Get your Ethics Score and actionable recommendations.

๐ŸŽฏ Fairness & Bias


Not assessedPartiallyFully assessedMitigated & monitored

No trackingBasic monitoringComprehensiveAutomated alerts

Not auditedInformal reviewStructured auditOngoing monitoring

๐Ÿ” Transparency & Explainability


Black boxPost-hoc explanationsBuilt-in explanationsFull decision trace

No documentationInternal onlyBasic model cardComprehensive + public

Not disclosedIn T&C onlyClear disclosureActive consent

๐Ÿ”’ Privacy & Data Protection


No controlsBasic compliancePrivacy by designPrivacy-preserving ML

VulnerablePartially protectedMemorization testedDifferential privacy applied

Not possibleManual processAutomated processBuilt into architecture

๐Ÿ›ก๏ธ Safety & Robustness


NeverInformal testingStructured red teamContinuous red teaming

No safeguardsBasic filteringMulti-layer safetyAdaptive safety + monitoring

Not testedBasic testingComprehensive testingAutomated adversarial testing

๐Ÿ‘ค Accountability & Governance


No clear ownerNamed individualGovernance boardBoard + audit trail

No planInformal processDocumented planTested & rehearsed

No mechanismContact supportStructured appealsHuman review guaranteed

๐ŸŒ Societal Impact


Not assessedInformal considerationImpact assessment doneOngoing monitoring

Not consideredAwarenessCarbon trackingOffset + optimization

NoInternal onlyExternal consultationOngoing engagement
โ€”
AI Ethics Score (out of 54)
Complete the assessment above

Scoring: 0=Not addressed, 1=Partial, 2=Good, 3=Excellent. Max score: 54 (18 questions ร— 3).

Published on DataGate.ch โ€” Interactive tools for AI safety intelligence.
ยฉ 2026 DataGate.ch. All rights reserved.

function calcEthics(){
var selects = document.querySelectorAll(’select‘);
var total = 0;
var answered = 0;
selects.forEach(function(s){
total += parseInt(s.value);
if(parseInt(s.value) > 0) answered++;
});
var pct = Math.round((total/54)*100);
document.getElementById(‚ethics-score‘).textContent = total + ‚ / 54 (‚ + pct + ‚%)‘;
var fill = document.getElementById(‚progress-fill‘);
fill.style.width = pct + ‚%‘;
if(pct >= 80) fill.style.background = ‚#22c55e‘;
else if(pct >= 60) fill.style.background = ‚#f59e0b‘;
else fill.style.background = ‚#ef4444′;

var label = document.getElementById(’score-label‘);
if(pct >= 80) label.textContent = ‚๐ŸŸข Strong ethical foundation‘;
else if(pct >= 60) label.textContent = ‚๐ŸŸก Good progress โ€” address gaps‘;
else if(pct >= 40) label.textContent = ‚๐ŸŸ  Significant gaps โ€” prioritize improvements‘;
else label.textContent = ‚๐Ÿ”ด Critical gaps in ethical AI practices‘;

// Generate recommendations
var recs = document.getElementById(‚recommendations‘);
var weak = [];
var categories = document.querySelectorAll(‚.category‘);
categories.forEach(function(cat, ci){
var catSelects = cat.querySelectorAll(’select‘);
var catTotal = 0;
catSelects.forEach(function(s){ catTotal += parseInt(s.value); });
var catMax = catSelects.length * 3;
if(catTotal 0 && answered > 0){
var html = ‚

๐Ÿ“‹ Priority Recommendations

‚;
weak.forEach(function(w){
html += ‚

‚ + w.name + ‚ โ€” Score: ‚ + w.score + ‚/‘ + w.max + ‚. Focus on improving this dimension next.

‚;
});
recs.innerHTML = html;
} else if(answered > 0) {
recs.innerHTML = ‚

Excellent! Across-the-board strong scores. Continue monitoring and stay current with evolving best practices.

‚;
}
}

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