There’s a real danger of systematizing the discrimination we have in society.
Timnit Gebru[4]
Fairness is essentially a contested concept as it is context-dependent and highly conflicts with different ethical, political, and cultural understandings.
Unknown[1]
Addressing bias in AI requires a holistic approach, involving diverse and representative datasets, enhanced transparency and accountability in AI systems.
Emilio Ferrara, Thomas Lord[3]
The failings are human, not AI, due to a lack of diversity in the teams building the systems.
Vivienne Ming[4]
Algorithm operators must ask: Will we leave some groups worse off from the algorithm’s design or unintended consequences?
Unknown[5]
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