1. Explore theories of data analytics from various thought leaders.
2. Evaluate and compare the risks and results of big data technology.
3. Anticipate the shift toward predictive analytics and the necessary safeguards.
4. Assess the company’s rights and responsibilities in collecting data.
Class Papers and Projects
- Discusses ethical guidelines and potential pitfalls in predictive analytics, particularly regarding consumer fairness and algorithmic bias
- Discusses ethical guidelines and potential pitfalls in predictive analytics, particularly regarding consumer fairness and algorithmic bias
- Explicitly defines and critically evaluates seven global privacy principles, emphasizing best practices for ethical data handling and compliance
- Detailed examination of ethical considerations with unique contextual focus within data analytics
- Detailed examination of ethical considerations with unique contextual focus within data analytics
- Detailed examination of ethical considerations with unique contextual focus within data analytics
- Detailed examination of ethical considerations with unique contextual focus within data analytics
- Examines ethics of predictive analytics, emphasizing transparency, fairness, and avoiding biases
- Detailed examination of ethical considerations with unique contextual focus within data analytics
- Detailed examination of ethical considerations with unique contextual focus within data analytics