29.04.2022
MCML at CHI 2022
Two Accepted Papers
ACM CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, Apr 30-May 05, 2022
We are happy to announce that MCML researchers have contributed a total of 2 papers to CHI 2022. Congrats to our researchers!
Main Track (2 papers)
M. Windl • S. S. Feger • L. Zijlstra • A. Schmidt • P. W. Wozniak
‘It Is Not Always Discovery Time’: Four Pragmatic Approaches in Designing AI Systems.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI
‘It Is Not Always Discovery Time’: Four Pragmatic Approaches in Designing AI Systems.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI
M. Windl • N. Henze • A. Schmidt • S. S. Feger
Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI
Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI
Related
26.08.2026
Transparency for Global Health Aid
MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.
25.08.2026
David Rügamer: We Need Uncertainty Quantification
MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.