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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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. 

 

 

 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.