Bias is a major cause of unfair and discriminatory decisions in the use of AI systems. For example, well-paid job offers were algorithmically placed almost exclusively with male users . Using an awareness-raising framework to raise awareness among developers and users, the goal is to identify and reduce bias. The framework has been successfully validated […]
About Eduard Klein
Eduard Klein is a lecturer in the Institute "Public Sector Transformation" of the BFH Department of Economics. He teaches and researches in the field of business informatics, especially about web technologies and software engineering. For more than 10 years he has been involved in major EU projects, most recently in the area of Smart City Innovation. In addition, he develops and supervises cooperations with foreign partner universities in the Bachelor's degree program in Business Informatics.
Entries by Eduard Klein
Companies are increasingly using artificial intelligence (AI) to make decisions or to make decisions based on their suggestions. These suggestions can also be discriminatory. To prevent this, we need not only to understand program codes on a technical level, but also to incorporate human thinking and decision-making processes to detect and reduce systematic deception. CO […]
Public authorities make data available for secondary use as public sector information, (accessible) apps can use these and thus create added value. This paper focuses on requirements for the usability of a blind app for orientation in cities as well as requirements for the data. In addition to the widely used Points of Information, Points […]