The course Responsible Use of AI – AI Legislation – ACT it immerses you in the world of artificial intelligence, a booming sector with a employment claim growing. You’ll learn to identify high-risk AI systems and understand their key obligations, covering topics such as transparency, human oversight and cybersecurity. You will also gain an understanding of the Spanish legislation and the role of AESIA, in building skills to identify bias and protect data.
Cross-cutting
AI Academy
50 hours
Responsible Use of AI – AI Legislation – ACT
AI Academy
50 hours
Introduction
Objectives
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Understanding the social impact AI and its ethical regulation.
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To analyse the AI Act and its risk-based approach.
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Identify high-risk AI systems and the restrictions applicable to them.
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Assess key obligations and implement best practice in generative AI
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO AI AND ITS SOCIAL IMPACT
Fundamental Concepts of Artificial Intelligence
Applications of AI in Educational and Professional Contexts
The Need for Regulation: The Ethical and Social Debate
TEACHING UNIT 2. THE EUROPEAN AI REGULATION (AI ACT): GENERAL FRAMEWORK AND RISK-BASED APPROACH
Structure and Objectives of Regulation (EU) 2024/1689
The Risk-Based Approach
Implementation Timetable
TEACHING UNIT 3. IDENTIFYING AI SYSTEMS: PROHIBITED AND HIGH-RISK USES
Prohibited Practices or Practices Involving Unacceptable Risk
Criteria for Identifying High-Risk Systems
TEACHING UNIT 4. KEY OBLIGATIONS FOR HIGH-RISK AI SYSTEMS
Risk Management and Data Governance
Transparency, Human Oversight and Cybersecurity
TEACHING UNIT 5. REGULATORY FRAMEWORK IN SPAIN: THE AESIA AND NATIONAL DEVELOPMENT
The Future Spanish AI Act on Good Practice and Governance
The Spanish AI Supervisory Agency (AESIA)
Sanctions Regime
TEACHING UNIT 6. RESPONSIBLE USE OF GENERATIVE AI IN EDUCATION AND TRAINING
Generative AI: Opportunities and Risks
Transparency and Content Labelling Requirements
Best Practice for the Use of Generative AI
TEACHING UNIT 7. ETHICS, BIASES AND FUNDAMENTAL RIGHTS IN AI
Algorithmic Bias and Discrimination
Impact on Privacy and Data Protection
Respect for Fundamental Rights
TEACHING UNIT 8. AI GOVERNANCE: INTERNAL POLICIES AND REGULATORY COMPLIANCE
Designing Policies on the Use of AI in Organisations
The Role of Compliance and Digital Ethics Committees
Impact on Assessment, Mentoring and Staff Selection
TEACHING UNIT 9. INTEGRATION OF THE AI ACT WITH THE GDPR AND OTHER REGULATIONS
Coordination between the AI Act and the GDPR
Interaction with Sector-Specific Regulations
The Role of the Compliance Officer and the DPO
TEACHING UNIT 10. CASE STUDIES AND COMPLIANCE SIMULATION
Analysis of Use Cases in Vocational Training
Workshop: Risk Assessment for an AI Project
Audit Simulation and Action Plan
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