AI-Based Information Systems
The increasing computing power of processors, the availability of large amounts of data, and the advancement of learning algorithms have greatly expanded the capabilities of artificial intelligence (AI). These capabilities include recognizing images and speech, understanding and translating texts, and developing strategies in games. AI contributes to the improvement of the functionality of existing system types (e.g. search engines) but also to the emergence of new types of systems (e.g. chatbots). The advancement of AI does not only allow to automate increasingly complex tasks (e.g. driving a car), but also changes the way that users can interact with information systems (e.g. through conversation). The research field “AI-based Information Systems” investigates how the employment of AI in information systems affects their users’ behavior. The field’s topics cover both systems that are used in private and those that are used in workplace contexts. The aim of the research group is to develop an understanding of how users interact with AI-based information systems and to provide recommendations for the design of such systems and their use by businesses.
- Decision support by AI-based information systems in private contexts
- Values and limitations of voice interaction with information systems
- AI-based assistance systems at the workplace
- Transparency and explainability of AI-based information systems
- Risk perceptions and trust in AI-based information systems