The paper advocates a systems-thinking framework that uses causal graphs to integrate prior beliefs about bias into AI fairness analysis, linking technical systems to sociopolitical contexts for policy design.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Systems Thinking Approach to Algorithmic Fairness
The paper advocates a systems-thinking framework that uses causal graphs to integrate prior beliefs about bias into AI fairness analysis, linking technical systems to sociopolitical contexts for policy design.