Democratising AI: Multiple Meanings, Goals, and Methods

Elizabeth Seger, Aviv Ovadya, Ben Garfinkel, Divya Siddarth, Allan Dafoe
3/22/2023
cs.AIcs.CYcs.LG

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Abstract

Numerous parties are calling for the democratisation of AI, but the phrase is used to refer to a variety of goals, the pursuit of which sometimes conflict. This paper identifies four kinds of AI democratisation that are commonly discussed: (1) the democratisation of AI use, (2) the democratisation of AI development, (3) the democratisation of AI profits, and (4) the democratisation of AI governance. Numerous goals and methods of achieving each form of democratisation are discussed. The main takeaway from this paper is that AI democratisation is a multifarious and sometimes conflicting concept that should not be conflated with improving AI accessibility. If we want to move beyond ambiguous commitments to democratising AI, to productive discussions of concrete policies and trade-offs, then we need to recognise the principal role of the democratisation of AI governance in navigating tradeoffs and risks across decisions around use, development, and profits.

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Cite this paper

@article{seger2023democratising,
  title  = {Democratising AI: Multiple Meanings, Goals, and Methods},
  author = {Elizabeth Seger and Aviv Ovadya and Ben Garfinkel and Divya Siddarth and Allan Dafoe},
  year   = {2023},
  eprint = {2303.12642},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.12642v3}
}

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