HIGHLIGHTS
SUMMARY
On this basis, in the analysis the authors distinguish the different roles played by service designers, algorithm designers, system deployers, and end-users in developing and using fair AI systems. The authors focus on the ways in which fairness needs to be ensured while developing AI systems in this context and identify and discuss three aspects of fairness-contextual fairness, model fairness, and device fairness. The experience at different stages of the development and assessment of AI systems gives the authors a diverse perspective of the common practices and pitfalls of the AI development . . .
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