Abstract
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.