In order to ensure the success of the research project "How to Explain AI", including diverse perspectives is key. In this regard, and in addition to those at the LIT Robopsychology Lab, the project will include others, such as Citizen Scientists, Artists, and AI Experts.
Those interested in AI and considered to be 'laymen' in the subject area will provide insight into society's perspectives and interests. Together we will generate corresponding questions about the way AI affects us on a daily basis.
Ute Brigola
Mathias Haingartner
Angelika Haring
Susanna Lagler
Benjamin Müller
Sara Rybak
Andreas Schredl
Cornelia Siedl
Gertraud Sobotka
Dorian Sperl
Artists bring a different perspective to the subject, generating new and creative approaches to improve knowledge transfer for subsequent educational intervention.
Emanuel Gollob
Elza Grimm
Benjamin Gumpenberger
Denise Hirtenfelder
Franz Huber
Helene Huemer
Monica Vlad
People professionally involved in artificial intelligence will bring their technical understanding and expertise to the table.
Magdalena Hader
Katharina Hoedt
Patrick Haidinger
Verena Stanzl
Employees at the Robopsychology Lab will lead and support the project.
Lara Bauer, opens in new window, participatory process support, studies and data preparation
Benedikt Leichtmann, opens in new window, scientific leadership, study design, data analysis, academic dissemination
Martina Mara, opens in new window, head of the LIT Robopsychology Lab
Thomas Meneweger, opens in new window, workshop management during the participatory processes
Kathrin Meyer, opens in new window, organizational project management, participatory processes coordinator, workshop management
Patricia Stark, the coordinator for Open Innovation in Science at the JKU