Artificial intelligence (AI) development and application must provide human-centric and ethical operation, transparency, and respect for fundamental rights. This course concerns the application of the law and ethics to AI. It addresses such topics as AI and human rights, privacy protection (GDPR) and cybersecurity, responsibility and liability, non-discrimination, intellectual property, and safety rules. Besides its apparent advantages, AI entails several potential risks, such as opaque decision-making. The human factor, machine learning process in the case of algorithms and automated decision-making, and handling uncertainties may lead to discriminative practices. AI technologies may present new safety risks for users when they are embedded in products and services. Data protection is the area of law that is most engaged with AI. The objective of the course is to introduce the students to the ethics and legal environment of AI, including especially the basic principles and guidelines and the present framework of these regulations (e.g., the EU’s Artificial Intelligence Act). The course helps students recognise and mitigate the risks, know AI's accountability and governance implications, and what we must do to ensure lawfulness, fairness, and transparency in AI systems.
Exam info and full course description can be found in the course catalogue.
Course specific:
To apply for the course, you must have passed a Bachelor's degree in Business Economics, Business Administration, or an equivalent degree.
General:
Exchange students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about admission here.
mezei.kitti@gtk.bme.hu
Kitti Mezel earned her Bachelor's, Master's, and Ph.D. degrees from the University of Pécs. Her doctoral research focused on the regulatory challenges of cybercrime within the field of criminal law. Since 2017, she has been affiliated with the Hungarian Academy of Sciences' Centre for Social Sciences in Budapest. Currently, she serves as an Assistant Professor at the Budapest University of Technology and Economics.