English Language · English
In discussions of machine learning and social governance, what primary issue occurs when an algorithm is trained on historical datasets that contain existing human bias?
- 1It renders the 'black box' transparent to socio-political analysis.
- 2It necessitates a return to normative governance to correct the data.
- 3It converts systemic inequities into a form of inescapable mathematical reality.✓
- 4It identifies and filters out the anomalies of human prejudice.
Correct answer
It converts systemic inequities into a form of inescapable mathematical reality.
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