| 1 | Defines and compares the fundamental concepts, principles, and guidelines of the responsible AI approach (privacy, transparency, explainability, fairness, and accountability). |
| 2 | Analyzes the relationship between the protection of personal data and AI systems within the framework of the General Data Protection Regulation (GDPR) and data governance |
| 3 | Critically evaluates the European Union's regulatory framework — including the Artificial Intelligence Act (AI Act) — its risk-based approach, and its implications for various stakeholders and sectors. |
| 4 | Develops arguments from a digital rights perspective by assessing the opportunities and risks that AI technologies pose for democracy, human rights, the digital public sphere, and surveillance practices. |
| 5 | Analyzes the societal impacts of AI and potential risks of bias and discrimination within a specific application context (e.g., education, healthcare, employment) and develops recommendations for improvement in light of responsible AI principles. |
| 6 | Designs and presents an original research or applied project addressing a specific dimension of responsible AI or digital rights, demonstrating the ability to apply the concepts, frameworks, and methodologies covered in the course. |