Ethical Considerations
Online Learning · Further Education · Advanced Data Science and Machine Learning
This unit explores the ethical considerations in machine learning, including bias, fairness, privacy, and accountability. Students will learn how to identify and mitigate these ethical concerns in the development and deployment of machine learning models.
Zum Üben gibt es 50 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Types of bias in machine learning
- Mitigation techniques for bias
- Ethical data collection and use
- Privacy protection in machine learning
- Accountability and responsibility in machine learning
- Best practices for ethical machine learning
- Case studies of ethical issues in machine learning
Stichworte
- Bias
- Fairness
- Privacy
- Accountability
- Machine Learning Ethics
- Algorithmic Bias
- Discrimination
- Data Privacy
- Transparency
- Responsible AI