ALGORITHMIC TRANSPARENCY & EXPLAINABILITY STATEMENT

PREAMBLE

This Algorithmic Transparency Statement for [Company Name] effective [Date] discloses the use of automated decision-making systems and algorithmic processing of personal data. Legal Basis: GDPR Art. 13-14 (transparency), GDPR Art. 22 (automated decisions), EU AI Act Arts. 13-14 (transparency).

1.1 Systems Covered: Company uses following automated decision-making systems:

1.2 High-Risk Classification: Systems classified as HIGH-RISK under EU AI Act Annex III if used for: (a) employment/HR decisions, (b) credit/loan decisions, (c) law enforcement, (d) migration/asylum, (e) essential services (utilities, healthcare)

2.1 Identity of Controller: Data Controller = [Company Name], [Address], contact: [privacy@company.com] per GDPR Art. 13(1)(a)

2.2 Automated Processing Notification: Your data is processed using automated decision-making algorithms. THIS IS NOT HUMAN REVIEW — decisions made by machine learning model trained on historical data.

2.3 Logic of Algorithm: The algorithm works as follows:

• Input: [Which data points feed the algorithm: age, income, location, etc.]
• Processing: [Mathematical model: neural network, logistic regression, decision tree, etc.]
• Output: [Decision or score: 0-100 risk score, approve/reject recommendation, rank/tier assignment]
• Training Data: Model trained on [X million historical records] from [date range]

2.4 Significance & Consequences: Decisions have [significant / limited] consequences:

• Loan approval/denial (financial consequence)
• Job screening/ranking (employment opportunity loss)
• Content filtering/shadow-banning (service access limitation)
• Price discrimination (financial impact)

3.1 Human Review: Automated decisions are subject to:

• ☑ Human review by employee (optional, upon request): Response within [5-10 business days]
• ☑ Mandatory human review if user objects (requests reconsideration)
• ☐ NO human review (automated only — not applicable per GDPR Art. 22(3) exception)

3.2 Appeal / Objection Process: If user disagrees with algorithmic decision:

3.3 Explainability: Upon request, Company provides:

• ✓ Which input factors influenced the decision (top 3-5 factors)
• ✓ Approximate weight/importance of each factor
• ✓ Whether decision was fully automated or involved human judgment
• ✗ Exact algorithm code (proprietary — not disclosed)
• ✗ Training data samples (privacy-sensitive — not disclosed)

4.1 Bias Testing: Company conducts regular bias audits per EU AI Act Art. 15 to ensure:

• No gender discrimination: Accuracy ≥95% across all genders
• No racial/ethnic discrimination: Accuracy ≥95% across racial groups
• No age discrimination: Accuracy ≥95% across age groups
• No disability discrimination: System accommodates accessibility needs

4.2 Fairness Metrics: Algorithm checked for:

• Equal Opportunity: Approval rates similar across demographics
• Calibration: Predictions equally accurate for all subgroups
• False Positive/Negative Rates: Similar error rates across groups

4.3 Protected Characteristics: Algorithm explicitly CANNOT use:

• ❌ Race, ethnicity, skin color (protected per German AGG (Anti-Discrimination Act))
• ❌ Religion, ideology, political opinions
• ❌ Union membership or political affiliation
• ❌ Genetic data, health data, sex life
• ✓ ALLOWED (if necessary): Age, disability (if documented accommodation)

5.1 Data Retention: Personal data retained for [3 months - 1 year] after decision for:

• Appeal/objection handling
• Bias audit & fairness testing
• Regulatory compliance (GDPR Art. 15 access requests)
• Legal defense (contractual disputes)

5.2 User Rights (GDPR): You have right to:

• Access (Art. 15): Request copy of your data + decision reasons
• Rectification (Art. 16): Correct inaccurate data
• Erasure (Art. 17): Delete data (except legal retention period)
• Portability (Art. 20): Download your data in machine-readable format
• Object (Art. 21): Opt-out of algorithmic decisions (human review only)

Submit requests to [privacy@company.com]. Company responds within [30 days] per GDPR Art. 12

6.1 Ongoing Monitoring: Algorithm performance monitored continuously for:

• Accuracy degradation (if accuracy drops >5%, investigation triggered)
• Bias drift (fairness metrics checked monthly)
• Data quality issues (missing/corrupt input data)
• Cybersecurity incidents (unauthorized access)

6.2 Incident Reporting: If serious incident discovered (discrimination, data breach, system failure affecting >100 users):

• Company notifies affected users within [15 days]
• Data protection authority notified if personal data breach per GDPR Art. 33
• Corrective measures implemented immediately

7.1 Data Protection Officer: [DPO Name], [email / phone]

7.2 Regulatory Authority: Complaints to:

• 🇩🇪 Germany: BFDI (Bundesbeauftragter für Datenschutz)
• 🇪🇺 EU: National DPA in your member state (contact info at EDPB)
• 🇺🇸 US: No federal equivalent (state-specific data privacy laws apply)

7.3 Legal Rights: You have right to lodge complaint + seek judicial remedy per GDPR Art. 77-79

Law: GDPR 2016/679 (EU) | EU AI Act 2024/1689 (if applicable) | German BGB