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Algorithmic Bias
Algorithms can produce unfair or skewed outcomes that reflect biases in the training data or design choices. These biases can reproduce and even amplify existing forms of discrimination.
Bibliography
- Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine Bias. There is software that is used across the county to predict future criminals. And it is biased against blacks. Retrieved from: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
- Waardenburg, L., Sergeeva, A., & Huysman, M. (2018). Hotspots and blind spots: A case of predictive policing in practice. In Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology: IFIP WG 8.2 Working Conference on the Interaction of Information Systems and the Organization, IS&O 2018, San Francisco, CA, USA, December 11-12, 2018, Proceedings (pp. 96-109). Springer International Publishing.
- Amoore, L. (2006). Biometric borders: Governing mobilities in the war on terror. Political Geography, 25 (3), 336-351, ISSN 0962-6298. https://doi.org/10.1016/j.polgeo.2006.02.001
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