In this chapter we argue that discourses on AI must transcend the language of’ethics’ and engage with power and political economy in order to constitute’Good Data’ In particular, we must move beyond the depoliticised language of ‘ethics’, currently deployed (Wagner 2018) in determining whether AI is ‘good’ given the limitations of ethics as a frame through which AI issues can be viewed . In order to circumvent these limits, we use instead the language andconceptualisation of ‘Good Data’, as a more expansive term to elucidate the values, rights and interests at stake when it comes to AI’s development and deployment . Good Dataconsiderations move beyond recurring themes of data protection/privacy and theFAT (fairness, transparency and accountability) movement to include explicit political economy critiques of power . We offer recommendations andremedies towards implementing ‘better’ approaches towards AI . Our strategiesenable a different (but complementary) kind of evaluation of AI as part of the socio-technical systems in which AI is built and deployed . AI is considered a different kind of appraisal of AI will be evaluated by society .

Author(s) : Angela Daly, S Kate Devitt, Monique Mann

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Keywords : ai - good - ethics - data - language -

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