fa26-philos244 philos244
Algorithmic Bias: Senses, Sources, Solutions Algorithmic Bias: Senses, Sources, Solutions
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Correspondence
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Abstract
1 | INTRODUCTION
2 | SENSES OF BIAS
3 | SOURCES OF BIAS
3.1 | Biases in problem specification
3.2 | Biases in data
3.3 | Biases in modeling & validation
3.4 | Biases in deployment
4 | SOLUTIONS TO BIAS
4.1 | The standard debiasing strategy
4.2 | Foundational questions about responses
5 | FUTURE DIRECTIONS
6 | CONCLUSION
ACKNOWLEDGMENTS
CONFLICTS OF INTEREST
ORCID
ENDNOTES
REFERENCES