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.
- B. Custers, E. Fosch-Villaronga (Eds.), Law and Artificial Intelligence, Springer, 2022
- R. Abbott (Ed.) Research Handbook on Intellectual Property and Artificial Intelligence, Edward Elgar Publishing, 2022
- W. Barfield, U. Pagallo, Research Handbook on the Law of Artificial Intelligence, Edward Elgar Publishing, 2022