8. Data Ethics

Label	KSAC Description		Bloom's Taxonomy Level	Cross-Cutting
a	Identify how global legal, policy and/or ethical constraints might impact data analyses	knowledge	2	Generalist 5a, Machine Learning 5a
b	Identify the established ethical and legal issues in data management facing organizations	knowledge	2	Generalist 5b, Machine Learning 5b, Data Management 3e
c	Explain how ethical, compliance, and legal issues should/must be considered in data driven decision making	knowledge	1	Generalist 5c, Machine Learning 5c
d	Discuss the importance of provenance, transparency, and explainability in data analysis and the ability to build trust	knowledge	2	Machine Learning 5f
e	Present real world examples of data bias and the unintended consequences of using data analytics and AI in making decisions	knowledge	2	Machine Learning 5e
f	Recognize the importance that data protection plays in managing data and building trust	knowledge	2
g	Explain the way your data analytics algorithms are vulnerable and can be manipulated	knowledge	2
h	Explain the limitations of using data analytics tools	knowledge	2
i	Explain the importance of general privacy that may include legal constraints related to the collection and usage of data	knowledge	2	Generalist 5d, Machine Learning 5g, Data Management 3f
j	Explain the limitations and potential unintended effects of data analysis when such algorithms encounter new scenarios	knowledge	2	Machine Learning 5i