Description of subarea A.3 coming soon…
Current PhD project of subarea A.3:
Potentials and Challenges for the Adoption of Artificial Intelligence – An Economic Investigation of Trust in Artificial Intelligence
Artificial intelligence (AI), as a key technology of the 21st century, is becoming increasingly important in many organizations across various industries. Thereby, AI can be applied to different fields of activity to make business processes more efficient. With the availability of large amounts of data and increased computing capacity, machine learning (ML), a sub-field of AI, has gained more attention. ML enables computers to learn specific tasks from data and make predictions based on that data. However, AI and machine learning algorithms are often criticized for their black box behavior, as they do not provide information about how they came to a particular result.
Trust is a decisive factor for the use and adoption of technologies. It can mainly help to overcome perceived uncertainties and risks and thus increase the acceptance of the technology. Thereby, trust has emerged as a multi-faceted concept that can be created or induced in several ways. Therefore, the research of area A.3 aims to investigate relevant trust factors for the adoption and usage of AI-based applications. In particular, concepts and dimensions of trust for adopting and using AI-based applications shall be investigated. Moreover, it has been shown that transparency can increase trust in technologies. Thus, the specific factor of transparency shall be further investigated in the context of AI.