AI Literacy MS Copilot and ChatGPT-4

No specific requirements.

• Understand the fundamental principles of artificial intelligence and its probabilistic operation
• Identify risks associated with AI systems, including hallucinations and algorithmic biases
• Apply best practices for data protection and GDPR compliance
• Master human oversight in the use of automated systems
• Use AI tools effectively (Microsoft Copilot, ChatGPT) and responsible prompt engineering

1. Legal and Regulatory Framework
EU AI Act: legal obligations and the role of AI literacy
Professional responsibilities and regulatory requirements
2. AI Principles and Functioning
Definition and probabilistic functioning of generative AI systems
Limits and critical interpretation of AI-generated responses
3. AI Tools and Best Practices
Microsoft Copilot and ChatGPT: capabilities and differences
Managing internal data and risks related to personal accounts
Prompt engineering techniques to improve response quality
4. Risk Management and Compliance
AI system classification by risk level: minimal, limited, high, unacceptable
Identification of hallucinations and algorithmic biases
Data protection and GDPR: pseudonymization and data minimization
Transparency obligations and disclosure of AI-generated content
5. Human Supervision and Incident Management
“Human-in-the-loop” principle and final accountability
Procedures for reporting AI-related incidents
6. Practical and Legal Framework
Copyright and intellectual property in AI-generated content

• Legal definition and fundamental principles of AI
• Probabilistic operation and limitations of generative systems
• Responsible use of Microsoft Copilot and ChatGPT
• Risk identification and management: hallucinations and biases
• Data protection and GDPR compliance
• Human supervision and incident procedures
• Prompt engineering techniques and practical usage framework
• Copyright and intellectual property

certificate of attendance.