CORDIS Project
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This research project explores the intersection of machine learning and ethics in healthcare. It aims to address biases in predictive models that can exacerbate health inequalities, linking ethical theory with algorithmic fairness.
In clinical care, machine learning is progressively used to enhance diagnosis, therapy choice, and effectiveness of the health system.
Because machine-learning models learn from historically gathered information, populations that have suffered past human and structural biases (e.g. unequal access to education or resources) — called protected groups — are susceptible to damage from inaccurate projections or resource allocations, reinforcing health inequalities.
For example, racial and gender diff…
POLITECNICO DI MILANO
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