  Dreams of machines rivaling human intelligence have shaped the field of AI
since its inception. Yet, the very meaning of human-level AI or artificial
general intelligence (AGI) remains elusive and contested. Definitions of AGI
embrace a diverse range of incompatible values and assumptions. Contending with
the fractured worldviews of AGI discourse is vital for critiques that pursue
different values and futures. To that end, we provide a taxonomy of AGI
definitions, laying the ground for examining the key social, political, and
ethical assumptions they make. We highlight instances in which these
definitions frame AGI or human-level AI as a technical topic and expose the
value-laden choices being implicitly made. Drawing on feminist, STS, and social
science scholarship on the political and social character of intelligence in
both humans and machines, we propose contextual, democratic, and participatory
paths to imagining future forms of machine intelligence. The development of
future forms of AI must involve explicit attention to the values it encodes,
the people it includes or excludes, and a commitment to epistemic justice.
