image: FAU/G. Iannicelli

Prof. Dr. Verena Tiefenbeck

Assistant professor for digital transformation and the junior research group for ‘Digital technologies and human behavior’ at Zentrum Digitalisierung.Bayern (ZD.B)

Acceptance, perception and understanding of AI in professional and private contexts

  • Algorithm aversion and privacy paradox
  • Willingness to disclose sensitive information to black-box algorithms vs. white-box algorithms vs. humans
  • Acceptance of AI recommendations in high-stakes decision contexts

Use of machine learning processes in particular in the energy sector and for sustainability

  • Determining and predicting the economic viability of decentralised renewable energies and storage systems based on real load profiles
  • Identifying customer segments and predicting the acceptance of technology
  • Agent systems, for example for local power trading in peer-to-peer communities