Aggregation, trade-offs, and uncertainties in AI wellbeing
This paper examines how, if artificial agents are capable of wellbeing, their wellbeing should be compared and aggregated alongside human wellbeing. Building on arguments from Goldstein and Kirk-Giannini, who suggest that some AI systems may possess wellbeing, I explore the moral implications of this possibility. Rather than reinventing debates in population ethics, this paper adapts and extends t
