Law and Artificial Intelligence

Learning Outcomes

Within the framework of the course, students will be able to:

• Understand critical concepts related to Artificial Intelligence, algorithms, and Artificial Intelligence systems, as well as issues of regulation
• Demonstrate critical understanding of the regulatory models of Artificial Intelligence
• Understand contemporary ethical issues arising from the utilization of Artificial Intelligence systems
• Possess comprehensive knowledge of the proposed regulatory framework in the European Union, the Artificial Intelligence Act
• Have the ability to critically analyze liability issues arising from the use of Artificial Intelligence systems, as reflected in case law and regulatory requirements
• Understand the legal issues arising from Generative Artificial Intelligence and Large Language Models
• Demonstrate critical understanding of the impacts of Artificial Intelligence in various application environments
• Understand the challenges posed by the evolving dynamics of the combination of the cognitive fields of cyber security, privacy protection, and Artificial Intelligence
• Possess advanced, state-of-the-art specialized scientific knowledge in the subjects of the course, serving as a basis for original thinking and research activity

Syllabus

• Introduction to Artificial Intelligence – Concepts and Definitions (Artificial Intelligence, algorithms, Artificial Intelligence systems)
• Introduction to the Regulation of Artificial Intelligence – Technological, Legal, and Economic Framework – Regulatory Needs and Requirements – Regulatory Models – self-regulation, co-regulation, and regulatory intervention.
• Ethical – Deontological Principles – Respect for Human Autonomy: Harm Prevention – Explainability – Legal, philosophical, ethical, and technical perspectives.
• Ethical and Regulatory Principles and Requirements: Involvement of the Human Factor / Human Intervention and Supervision – Technical robustness and safety – Data protection and information management – Transparency – Diversity, prohibition of discrimination, and fairness – Social and environmental well-being – Accountability.
• The Regulatory Framework of Artificial Intelligence in the EU – Introduction to key concepts, regulatory philosophy, and provisions of the Artificial Intelligence Act.
• Liability issues from the use of Artificial Intelligence systems – Case law and regulatory requirements (AI Liability Directive Proposal).
• Legal issues regarding Generative Artificial Intelligence (Generative AI) and Large Language Models (LLMs).
• Democracy, Digital Constitution, and Artificial Intelligence (review of the “social contract” in the digital age, issues of digital sovereignty, misinformation).
• Models and methodologies of algorithmic impact assessment and consequences of the use of Artificial Intelligence.
• Artificial Intelligence and personal data (profiling, automated decision-making, use of personal data for algorithm training / machine learning).
• Artificial Intelligence in the Justice system / framework.
• Artificial Intelligence and administration/governance systems – Application of good governance principles in the use of Artificial Intelligence.
• Ethical and Legal issues in the use of Artificial Intelligence in Health.