• Checking new systems for GDPR compliance
• Risk and impact assessments
• Assessing technical measures
• Documentation and release recommendation
• Analysis of AI systems for data protection and ethics
• Assessing data sources and algorithms
• Risk classification and recommendations
• Audit report with compliance assessment
• Implementing privacy-compliant AI applications
• Anonymization and data minimization
• Obtaining required consents
• Control of training and usage data
• Creating company-wide AI governance rules
• Defining responsibilities and processes
• Rules for developing and using AI
• Integration into existing compliance structures
• Training on data protection and transparency in AI
• Awareness of risks and obligations
• Practical application of policies
• Promoting responsible use of AI
