The AI Governance Conundrum: Fairness in Autonomous Healthcare Decision Making

The AI Governance Conundrum: Fairness in Autonomous Healthcare Decision-Making

In the realm of autonomous healthcare systems, AI algorithms are increasingly being used to make life-critical decisions, such as allocating limited organ transplants. However, these systems often face the daunting challenge of balancing competing priorities, including high-value social utility and individual prognosis scores. To address this conundrum, we need to design a fairness mechanism that ensures equitable allocation of resources while minimizing disparities.

The Complexities of Fairness

Fairness in AI decision-making involves multiple dimensions, including:

1. Individual fairness: Treating similar patients similarly, regardless of their background or demographics.
2. Group fairness: Ensuring that certain groups are not systematically disadvantaged or favored in the allocation process.
3. Distributive fairness: Allocating resources in a way that benefits the greatest number...

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