Responsible Use of AI, AI Legislation, and the AI Act

Cross-cutting
Digital Skills

IA Academy

Duration

50h

PRESENTATION

The Course Responsible Use of AI, AI Legislation, and the AI Act It immerses you in the world of artificial intelligence, a booming sector with a labor lawsuit growing. You'll learn to identify high-risk AI systems and understand their key obligations, covering topics such as transparency, human oversight, and cybersecurity. In addition, you’ll gain knowledge about the Spanish law and the role of AESIA in building skills for identifying biases and protecting data.

Objectives

  • Understanding the social impact AI and its ethical regulation.

  • Analyze the AI Act and its risk-based approach.

  • Identify high-risk AI systems and the restrictions that apply to them.

  • Assess key requirements and implement best practices in generative AI

Syllabus

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 Timeline TEACHING UNIT 3. IDENTIFICATION OF AI SYSTEMS: PROHIBITED AND HIGH-RISK USES Prohibited Practices or Practices Involving Unacceptable Risk Criteria for Identifying High-Risk Systems LEARNING UNIT 4. KEY OBLIGATIONS FOR HIGH-RISK AI SYSTEMS Risk Management and Data Governance Transparency, Human Oversight, and Cybersecurity LEARNING UNIT 5. REGULATORY FRAMEWORK IN SPAIN: THE AESIA AND NATIONAL DEVELOPMENT The Future Spanish AI Law for Proper Use and Governance The Spanish AI Supervisory Agency (AESIA) Penalty System LEARNING UNIT 6. RESPONSIBLE USE OF GENERATIVE AI IN EDUCATION AND TRAINING Generative AI: Opportunities and Risks Transparency Requirements and Content Labeling Best Practices for the Use of Generative AI TEACHING UNIT 7. ETHICS, BIAS, 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 AI Usage Policies in Organizations The Role of Compliance and Digital Ethics Committees Impact on Employee Evaluation, Mentoring, and Recruitment 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 LEARNING UNIT 10. PRACTICAL CASES AND COMPLIANCE SIMULATION Analysis of Use Cases in Vocational Training Workshop: Risk Assessment of an AI Project Audit Simulation and Action Plan
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.

Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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