AWAREMIND.

The Key Points of the EU AI Act

• Detailed overview of the new legislation
• Different risk levels and their significance
• Obligations by type of AI system
• Deployment timeline
• Key definitions and concepts
• Impact on existing regulations (GDPR, etc.)

AI Deployment Best Practices

• Technical requirements and standards
• Quality management systems
• Monitoring and logging
• Update and maintenance procedures
• Change management approach

Risk assessment and management

• Risk identification methodology
• Assessment of AI systems
• Mitigation measures
• Monitoring and evaluation
• Incident response planning
• Continuous improvement proces

Ethical Considerations in AI Use

• Fundamental rights and AI
• Transparency and explainability
• Human supervision
• Bias and fairness
• Privacy and data protection
• Social impact

Our approach to training

1. Initial Assessment

• Inventory of all AI systems within your organization
• Classification of systems according to EU AI Act risk levels
• Identification of applicable legal requirements
• Quick scan of current compliance status
• Gap analysis

2. Technical evaluation

• AI model and algorithm assessment
• Analysis of data management practices
• Evaluation of monitoring systems
• Review of logging mechanisms
• Checking security measures
• Assessment of model performance metrics

3. Process analysis

• Evaluation of quality management systems
• Control of risk management procedures
• Assessment of incident response protocols
• Analysis of change management procedures
• Review of documentation processes

4. Compliance Check

• Verification of legal requirements
• Verification of mandatory documentation
• Assessment of declarations of conformity
• Review of certificationsn
• Evaluation of governance structures
• Control of responsibilities

Technical aspects

• Model architecture and development
• Data quality and governance
• System monitoring and logging
• Performance metrics and KPIs
• Security measures

Documentation

• Technical documentation
• Risk assessments
• Declarations of conformity
• Training materials
• Incident reports

Processes and procedures

• Development methodology
• Quality assurance
• Risk management
• Change control
• Incident response
• Updates and maintenance

Governance

• Responsibilities
• Decision-making processes
• Stakeholder management
• Training programs
• Compliance monitoring
• Reporting structures

Deliverables

• Assessment Rapport
• Detailed findings
• Risk assessment
• Compliance status
• Gap analyse
• Recommendations
• Priorities

Phase 1: Initial assessment

• Inventory of existing AI systems
• Risk classification according to EU AI Act
• Gap analysis of current compliance status
• Identification of priorities
• Roadmap development
• Budget and resource planning

Phase 2: Implementation

• Helping to create required documentation
• Setting up monitoring systems
• Development of governance structures
• Training of employees
• Implementation of control mechanisms
• Setting up reporting processes

Phase 3: Validation

• Verification of implemented measures
• Testing of monitoring systems
• Validation of documentation
• Assessment of effectiveness
• Training Results Evaluation
• Review of procedures

Phase 4: Continuous Monitoring

• Regular compliance checks
• Update monitoring
• Performance tracking
• Periodic reports
• Proactive advice

Documentation & Templates

• Compliance checklists
• Risk assessment templates
• Procedure manuals
• Reporting formats
• Training materials
• Best practice guides

Technical Support

• System architecture review
• Monitoring setup
• Logging implementation
• Performance metrics
• Security measures
• Update procedures

Process-based support

• Governance structure
• Workflow optimization
• Change management
• Stakeholder communication
• Training and education
• Incident responsee