We audit training, validation, test and enterprise datasets for AI systems, especially for manufacturing use cases such as visual quality inspection, predictive maintenance, robotics and process optimization. The audit assesses whether the data is correct, complete, relevant and representative, including edge cases and relevant subgroups. We also review GDPR aspects, data origin, intellectual property risks and data management processes. The service supports preparation for the EU AI Act, especially Article 10 on data and data governance, and is aligned with ISO/IEC 5259, ISO 8000 and GDPR requirements.
The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations. For a Deep Audit, the report also includes statistical analyses and quantified findings.
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