| shifting-power |
Description |
A.I. and "Justice" are brought together under a number of headings, including A.I.
for Social Good (AI4SG) [Shi et al., 2020; Tomavsev et al., 2020], Ethical A.I. [Yu,
2018], Responsible A.I. [Arrieta 2020], Fair [Zou, 2018], Accountable and Transparent
A.I. [Mohseni et al., 2018; Arrieta et al., 2020] (FAT A.I. or FAT M.L.), Cyberjustice
[Senecal et al., 2009; Mykytyn et al., 2019], and A.I. for democracy [Puaschunder
et al., 2019]. However, each of these research communities has their own conceptualisation
of what justice means and how to achieve it, which is not always informed by marginalised
voices [Hagerty et al., 2019; Bones et al., 2020]. In addition, these domains are
located within a wider context of A.I. research that has existing problems of representation
and visibility [Stanford, 2019]. Pratyusha Kalluri of the Radical AI Network has proposed
that asking whether AI is good or fair is not the right question if we want to look
at potential benefits and harms. We have to look at how AI "shifts power". In this
project, therefore, we are seeking a new paradigm for thinking about what can and
should be done with AI Technology, which cannot be reduced to cultural complexity
and which takes into account the reality of world forces (such as power and wealth)
that help to predict what is likely to happen
This research is funded by a UKRI Future Leaders Fellowship (round 6). |
