- Analyzing Criminal Law in the Context of AI (k5)
Students can assess how traditional principles of criminal law apply to AI, recognizing potential areas where AI systems may challenge or require adaptation of these laws.
- Understanding Ethical Principles in AI Development (k5)
Students are able to evaluate the ethical implications of AI development and application, understanding how AI must conform to societal expectations of fairness, compliance, and legal norms.
- Identifying Criminal Liability Risks for AI Developers (k5)
Students are capable of identifying and analyzing potential risks of criminal liability for AI developers and operators, particularly in fields like autonomous driving and other high-stakes applications.
- Assessing Legal and Ethical Impacts of Digitalization (k5)
Students can assess the broader impact of AI and digitalization on societal norms, legal frameworks, and ethical standards, understanding how AI may challenge or influence the evolution of laws.
- Evaluating Legal Challenges in Reference Fields (k6)
Students are able to critically evaluate legal challenges presented by AI technologies in specific fields such as autonomous driving, applying criminal law, legal philosophy, and ethical principles to current and future developments.
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Students acquire knowledge of the intersection between AI, criminal law, and ethics, understanding how AI technologies challenge legal and ethical principles. They learn about key areas of criminal liability, ethical risks, and societal expectations surrounding AI systems, gaining insights into the legal and philosophical implications of AI's growing role in society.
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