Max Planck Institute for Innovation and Competition, Munich, Room 313
Decision-support systems can influence people in various domains of life. Firms have started implementing these systems via chatbots and other natural language-based assistants. While benefiting from these services, individuals provide sensitive and valuable data to the private industry. Using this data, companies may generate additional profits. Moreover, by making their data available, individuals may also promote the common good. Policymakers should provide efficient tools to let the public collectively benefit from their data. This paper provides first insights on how people may voluntarily provide data to a decision-support system in order to contribute to a social good. In particular, we have designed three online studies to test (1) whether providing personal data to a decision-support system for a common good is a social dilemma, (2) how the willingness to voluntarily provide data is subject to the risk of data getting leaked, the effectiveness of data provision, the developing party and the human-supervision of the underlying algorithm and (3) how differences in cognitive moral judgment (reason-based/ emotion-based) and the perceived moral obligation to provide data for a common good effect the willingness to make data available. In all studies, we compare two social goods: a sustainable environment and a sustainable health system.
Contact: Dr. Michael Rose