Artificial Intelligence
Epidemic effects in the diffusion of emerging digital technologies: evidence from artificial intelligence adoption
w/ Mathias Beck, Jan Kinne, David Lenz, Robert Dehghan, Martin Wörter, Bernd Ebersberger
The core assumption of socio-economic AI research is the accelerating diffusion of applied AI in society and businesses. However, there seems to be a lack of detailed firm-level evidence on AI adoption. We are working to provide a finely-grained firm-level AI adoption study that features a wide coverage of firms in German-speaking countries. We base our analysis on a novel indicator based on automatically retrieved web-data and machine learning techniques.
Divergent Transition Pathways for Artificial Intelligence: A Longitudinal and Multi-Level Perspective Using Structural Topic Modeling
w/ Bernd Ebersberger
Leveraging the multi-level perspective, we seek to depict the trajectory of micro-, meso-, and macro-level forces and their interactions to characterize AI transition pathways in industry. We treat business and information systems literature as a proxy capturing business practices that relate to factors influencing AI transitions on all three different levels. Based on 10,036 publications over 25 years, we map the topic landscape of AI-related research, longitudinal patterns of topics, and structural changes of topic networks.
Exploring Human-AI Interactions for Strategic Decision Making in Teams
Chess has long been used as a test-bed for AI research. The decision making problems posed through the game are precisely defined and the game is easily transferred into a digital environment. Chess is associated with human skill and intelligence and has been used as allegory for our competitive society and, especially, competitive business environments. In this project, we’re investigating how humans and applied AI may work together in settings of strategic decision making rather than working as substitutes. This involves questions of trust, transparency and explicability.
Sustainability
Rapid Response COVID-19 Innovations and Fundamental Human Needs
w/ Kristina Bogner, Maike Becker, Michael Schlaile, Andreas Pyka, Bernd Ebersberger
The current COVID-19 may be described as a microcosm for the man-made problems of our time. This modern crisis affects various societal systems and causes conflicting effects of relief mechanisms. We examine project-level data and point towards the contribution that innovation activities may offer to resolve conflicts and satisfy fundamental human needs during crises.
Publicly Funded R&D Networks for the Transition Towards a Sustainable Knowledge-Based Bioeconomy
w/ Kristina Bogner
Political agendas play a pivotal role in governing the transformation towards a more sustainable society. While policy measures become increasingly complex and effective, we suspect a one-dimensional focus on technological and economic solutions. We investigate the R&D network of publicly funded bioeconomy research projects for the presence of techno-economic, but also other types of (normative, systemic, transformative) knowledge.