This unit delves into the privacy risks associated with Machine Learning, such as data breaches, identity theft, and discrimination. Students will gain an understanding of the ethical implications of ML and strategies for protecting data privacy in ML models. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• What is Machine Learning Ethics?
• Ethical Challenges in Machine Learning
• Stakeholders and Responsibilities
• Sources of Bias in ML
• Mitigating Bias in ML
• Evaluating Fairness in ML
• Privacy-Preserving Techniques in ML
• Security Considerations in ML