Technical documentation

Claw Industries

Completion22%

Validation11%

1. General description

Art. 11.1

2. Development

Art. 11.1

3. Data

Art. 10

4. Risks

Art. 9

5. Performance

Art. 15

6. Instructions

Art. 13

7. Monitoring

Art. 72

8. Quality management

Art. 17

To validate

9. Conformity

Art. 47

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Risk management system

Art. 9

Identification, analysis and mitigation of risks associated with the system.

Temps estimé : 25-30 min

Required information

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Risk identification process

Systematic risk analysis using FMEA methodology (Failure Mode and Effects Analysis) adapted to AI systems.

Identified risk categories

Personal safety

Fundamental rights

Discrimination and bias

Data protection

Transparency

Accountability

Cybersecurity

Environmental impact

Societal impact

Economic impact

Risk assessment method

Probability × impact risk matrix with 4 criticality levels. Quarterly evaluation by the AI governance committee.

Identified risks

Discriminatory biases related to gender and ethnicity in training data. Risk of overfitting on historical data.

Mitigation measures

Quarterly bias audits. Diversification of data sources. Continuous monitoring of fairness metrics. Alert and rapid correction procedure.

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