030730 KU Unraveling New Horizons: Exploring EU’s Proposed AI Liability Framework and Corporate Finance (2023W)

2.00 ECTS (1.00 SWS), SPL 3 - Rechtswissenschaften

Continuous assessment of course work

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Tu 09.01.2024 12:00 to We 17.01.2024 23:59
Deregistration possible until Mo 22.01.2024 23:59

Details

max. 40 participants

Language: English

Lecturers

Marija Ampovska

Classes (iCal) - next class is marked with N

Monday 22.01. 09:00 - 18:00 Seminarraum SEM63 Schottenbastei 10-16, Juridicum 6.OG

Information

Aims, contents and method of the course

1. The lectures aim to enhance students' understanding of the interplay between current tort law regimes and the evolving landscape of artificial intelligence, emphasizing legal challenges as well as providing them with a comprehensive overview of the regulatory framework governing AI in the European Union, laying the foundation for in-depth exploration. In addition, the aim is to establish a cohesive nexus between the realms of corporate finance and civil liability arising from the deployment of artificial intelligence. In that manner, the second part of the lectures aims to educate students on the transformative impact of AI, identify opportunities for innovation, and address challenges and risks associated with AI implementation in corporate finance.
These lectures will adopt an ex-cathedra format to systematically present key thematic units encompassing the intersection of corporate finance and civil liability in artificial intelligence. After the exposition of each unit, a structured discussion component will be introduced to actively engage students in comprehensive deliberation, encouraging critical analysis, reflection, and collaborative exploration of the presented topics.

Assessment and permitted materials

Active participation in the lecture and discussion parts of the course.

Minimum requirements and assessment criteria

Active participation. Students are expected to prepare for the course by reading the material provided on moodle.

Examination topics

While there is no written exam, students are still expected to prepare for the course by reading the material provided on moodle.

Reading list

To be put on moodle.

Association in the course directory

Last modified: Th 11.01.2024 11:05