OB
TIM
CTO
Daria Morozova
Leiden U., The Netherlands, Netherlands
Stefan Haefliger
Bayes Business School, United Kingdom
Zoe Jonassen
U. of St. Gallen, Switzerland
Anil Doshi
UCL School of Management, United Kingdom
Zhu Feng
HEC Paris, France
Shane Schweitzer
Northeastern U., D'Amore-McKim School of Business, United States
Daria Morozova
Leiden U., The Netherlands, Netherlands
We like to think that we know what being human means. However, the conversation about what differentiates us from featherless bipeds or talking automata has been going on for millennia and it becomes even more important as artificial intelligence (AI) and other intelligent machines become better at imitating humans, challenging the existence of jobs and professions. In this symposium, we address how the meaning of humanness changes when people work with intelligent technologies, how humanness is experienced at work and beyond, and how people think about themselves and other humans while interacting with intelligent machines in metahuman systems where people and machines learn from each other. The five papers in this symposium address the notion of humanness in human-AI interaction from different theoretical and methodological vantage points (qualitative, quantitative, and conceptual) and consider these interactions from both the participant and the onlooker perspectives.
Author: Zoe Jonassen – U. of St. Gallen
Author: Stefan Feuerriegel – LMU Munich
Author: Katherine Lawrence – New York U.
Author: Devin Mann – New York U.
Author: Jingze Wang – UCL School of Management
Author: Anil R. Doshi – UCL School of Management
Author: Blaine Landis – U. College London
Author: Zhu Feng – HEC Paris
Author: Shane Schweitzer – Northeastern U., D'Amore-McKim School of Business
Author: David De Cremer – NUS Business School
Author: Daria Morozova – Leiden U., The Netherlands