This content originally appeared on DEV Community and was authored by Carlos Ruiz Viquez
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:
- Individual fairness: Treating similar patients similarly, regardless of their background or demographics.
- Group fairness: Ensuring that certain groups are not systematically disadvantaged or favored in the allocation process.
- Distributive fairness: Allocating resources in a way that benefits the greatest number...
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This content originally appeared on DEV Community and was authored by Carlos Ruiz Viquez
Carlos Ruiz Viquez | Sciencx (2025-09-22T19:55:08+00:00) The AI Governance Conundrum: Fairness in Autonomous Healthcare Decision Making. Retrieved from https://www.scien.cx/2025/09/22/the-ai-governance-conundrum-fairness-in-autonomous-healthcare-decision-making/
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