Data Ethics and AI

About This Course

This module deals with the ethics of AI in different domains. First the existing legislation is compared, using the USA, the European Union and China, as the reference cases.

The course advances by considering the effect of AI systems in the justice domain, the urban case, in the financial markets, and the health providers.

We review the on-going discussion, discuss dystopian and utopian scenarios, and derive conclusions for the designer of AI systems.

Learning Objectives

• By the end of this course, you will be able to:
• • Understand existing laws regulating or not regulating AI in different countries
  • Determine the limits of applications of AI systems
  • Derive rules of engagement for AI systems, based on a best design effort trying to constrain their application fllowing ethic guidelines.
  • Determine which ethic guidelines are realistic and necessary.

Study Programs

The course is selected as an elective in all Postgraduate Programs

Micro Degree

• This course is offered as a micro degree.
• German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.
• Micro Degrees will be rewarded with an equivalent of 5 ECTS.
• Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

Knowledge and skills as provided in the Prep courses.

General Information

• Teaching Format: Experience
• Total Workload Master: 125h (40h/85h) / 5 ECTS
• Total Workload MBA: 100h (40h/60h) / 4 ECTS
• Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS
• Module coordinator: Prof. Dr. Maren Borkert
• Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.
• Offered: Even quarters

Course Staff

Prof. Dr. Maren Borkert is a renowned academic specializing in Digital Entrepreneurship and Innovation Management. She served as a Professor and Vice President of Research at XU Exponential University. Her research focuses on disruptive technologies, business model innovation, and sustainability. With a background in migration studies, she has published extensively on topics such as AI ecosystems and platform economies. Her career includes positions at TU Berlin, Universität Wien, and ICMPD.