Annotation: The digital economy and the development of artificial intelligence are leading to a dramatic increase in the importance of data and datasets. However, their use is associated with a number of legal issues. The course will provide participants with a practical overview of the legal regulation of datasets and will focus in particular on the possibilities of their licensing and legal use in practice.

Course content:

1. What is a dataset and what are its legal characteristics: 

• the difference between individual items, a database and a data set,
• copyright protection and the special right of the database creator.

2. Dataset licensing:

• an overview of the most common open licenses (Creative Commons, Open Data Commons, EU Open Data License), 
• practical impacts of license terms: attribution, share-alike, prohibition of commercial use, combination of multiple licenses, o licensing of datasets created on order or within the framework of an employment relationship. 

3. Legal risks of working with datasets: 

• personal data and GDPR, 
• trade secrets and confidentiality, 
• liability for unauthorized use.

 4. Practical examples and case studies on:

• licensing datasets for research and development purposes, 
• on using data for AI training, 
• on resolving conflicts between different licenses.

Level: advanced

Language: English

Prerequisites:

Tutor: JUDr. Jan Bárta