Interpretable Machine Learning with Python

• Source Data:

  • What factors are appropriate & fair for this context?

  • What level of 'accuracy' is fair for this decision?

• Training Data:

  • What historical reference points are appropriate & fair for this decision?

  • What unjust biases exist in the construction of the historical data?

Kirsten Martin (https://doi.org/10.1007/s10551-018-3921-3) Ethical Implications and Accountability of Algorithms

https://link.springer.com/article/10.1007/s10551-018-3921-3link.springer.com