This unit explores the ethical challenges faced in Machine Learning, including bias, fairness, privacy, transparency, and accountability. Students will gain insights into responsible ML practices and their impact on society. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

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