CwiC investigates the normative and behavioural challenges in dealing with the new possibilities for prediction in and with AI at the interface of science, society and technology. The ability to predict future developments with unprecedented accuracy affects many – if not all – areas of social life.
In the health sector in particular, the new type of prediction allows for much more precise planning, but on the other hand also calls into question central points of reference: individual self-concepts, our general distinction between illness and health, as well as traditional norms, such as the concept of basic solidarity, which is also fundamental with regard to concepts of social security.
In the CwiC subproject Economics, the handling of AI will therefore be examined more closely from the perspective of behavioral science. How do individuals deal with the new possibilities? Are better forecasting possibilities welcome at all, or rather not? Are concepts of insurance questioned or changed?
The demand for and acceptance of more precise information through the use of AI is probably strongly normative. Therefore, we are also interested in the question how social information – especially normative information – influences the use of AI. To investigate behavioral effects, we conduct economic studies at the KIT KD2 Lab. There, the participants make incentive-based decisions – i.e. decisions that have real consequences, for example of a monetary nature – to ensure a high validity of the observed results.