Related Articles
The Ethics of Machine Learning
As machine learning technologies become more pervasive, ethical considerations are more critical than ever. Issues such as bias in data, privacy concerns, and the transparency of algorithms must be addressed.
Key Ethical Issues
- Bias and Fairness: Ensuring that models do not perpetuate or amplify biases present in training data.
- Privacy: Protecting individuals' data and privacy.
- Transparency: Striving for explainability in model decisions.
