Ethical and Societal Implications of Data Science
Distance Learning · Further Education · Advanced Data Science and Analytics
This unit explores the ethical and societal implications of data science, including issues of bias, privacy, and the responsible use of data. Students will learn how to identify and mitigate these risks, and how to develop data science solutions that are fair, equitable, and beneficial to society.
Zum Üben gibt es 58 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Bias in data
- Privacy in data science
- Fairness in data science
- Equity in data science
- Responsibility in data science
- Ethics in data science
- Societal implications of data science
Stichworte
- Bias
- Privacy
- Fairness
- Equity
- Responsibility
- Ethics
- Society
- Data Science