# EU AI ACT 2024 - Oerview

### **General Principles**

- **Risk Categorization**
- **Reference:** Article 6 – Classification of AI systems.
- High-risk systems include those impacting education per Annex III.
- **Transparency**
- **Reference:** Article 52 – Transparency obligations for AI systems.
- **Accountability**
- **Reference:** Article 23 – Governance and accountability in high-risk systems.
- **Human Oversight**
- **Reference:** Article 14 – Human oversight requirements for AI systems.
- **Ethical Framework**
- **Reference:** Article 9 – Risk management system requirements.

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### **Data Handling**

- **Data Privacy**
- **Reference:** Article 10 – Quality of datasets, aligned with GDPR (General Data Protection Regulation).
- **Bias Mitigation**
- **Reference:** Article 10 – Avoiding biases in datasets.
- **Data Security**
- **Reference:** Article 15 – Cybersecurity requirements for AI systems.
- **Data Transparency**
- **Reference:** Article 13 – Documentation requirements for high-risk systems.
- **Consent**
- **Reference:** Article 52 – Consent and communication obligations for users.

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### **AI-Driven Learning Tools**

- **Content Accuracy**
- **Reference:** Article 10 – Dataset quality assurance.
- **Personalization**
- **Reference:** Article 14 – Aligning personalization with ethical oversight.
- **Feedback Mechanism**
- **Reference:** Article 54 – Reporting and feedback mechanisms for AI systems.
- **Inclusivity**
- **Reference:** Article 10 – Diverse datasets to ensure inclusivity.
- **Cultural Sensitivity**
- **Reference:** Article 9 – Risk mitigation strategies, including cultural sensitivity.

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### **Grading and Assessments**

- **Fairness**
- **Reference:** Article 7 – Prohibitions of certain AI practices (unfair grading systems).
- **Explainability**
- **Reference:** Article 14 – Human oversight to ensure explainability.
- **Error Correction**
- **Reference:** Article 56 – Error correction and liability mechanisms.
- **No Sole Decision-Making**
- **Reference:** Article 14 – Human oversight in decision-making processes.
- **Accuracy Validation**
- **Reference:** Article 10 – Continuous testing for dataset and model accuracy.

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### **Student Engagement**

- **Interaction Design**
- **Reference:** Article 14 – Ensuring systems are designed for responsible usage.
- **Feedback Personalization**
- **Reference:** Article 9 – Personalization with fairness considerations.
- **Privacy in Chatbots**
- **Reference:** Article 52 – Transparency in AI communication tools.
- **Monitoring Usage**
- **Reference:** Article 15 – Usage monitoring and cybersecurity protocols.
- **Emotional AI Limitations**
- **Reference:** Article 5 – Prohibition of harmful or manipulative AI systems.

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### **Training for Educators**

- **AI Literacy**
- **Reference:** Article 9 – Training and awareness programs for stakeholders.
- **Bias Awareness**
- **Reference:** Article 10 – Educator training on dataset biases.
- **Decision Oversight**
- **Reference:** Article 14 – Human decision-making training requirements.
- **Ethical Use Training**
- **Reference:** Article 9 – Awareness programs on ethical AI use.
- **Policy Awareness**
- **Reference:** Article 23 – Internal policies for AI governance in organizations.

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### **Procurement and Deployment**

- **Supplier Compliance**
- **Reference:** Article 24 – Supply chain management obligations.
- **Documentation**
- **Reference:** Article 13 – Comprehensive documentation of AI system operations.
- **Risk Assessment**
- **Reference:** Article 9 – Risk management plan for deployment.
- **Third-Party Audits**
- **Reference:** Article 20 – Conformity assessments by third parties.
- **Regular Updates**
- **Reference:** Article 13 – Documentation to reflect system updates.

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### **Special Needs and Accessibility**

- **Accessibility Features**
- **Reference:** Article 14 – Inclusion of human oversight for accessibility.
- **Support for Disabilities**
- **Reference:** Annex III – High-risk systems, including those designed for disabilities.
- **Language Support**
- **Reference:** Article 10 – Dataset diversity, including multilingual data.
- **Customizable Interfaces**
- **Reference:** Article 9 – Designing customizable features for inclusivity.
- **Assistive AI Validation**
- **Reference:** Article 20 – Validation and testing for assistive technologies.

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### **Long-Term Impact**

- **Future-Proofing**
- **Reference:** Article 13 – Regular updates and adaptable documentation.
- **Sustainability**
- **Reference:** Article 9 – Environmental considerations in AI usage.
- **Cost-Benefit Analysis**
- **Reference:** Article 20 – Economic assessment during conformity checks.
- **Scalability**
- **Reference:** Article 13 – Design requirements for scalability.
- **Continuous Improvement**
- **Reference:** Article 54 – Reporting and adapting AI systems.

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### **Stakeholder Engagement**

- **Parental Involvement**
- **Reference:** Article 52 – Transparency obligations to inform all stakeholders.
- **Student Participation**
- **Reference:** Article 54 – Mechanisms for user feedback.
- **Community Outreach**
- **Reference:** Article 23 – Institutional governance including community input.
- **Cross-Institution Collaboration**
- **Reference:** Article 20 – Shared practices through audits and testing.
- **Regulatory Liaison**
- **Reference:** Article 62 – Coordination with regulatory authorities.