Explore KSACs by Pathway

Explore Knowledge, Skills, Abilities, and Credentials (KSACs) by IT Pathway.

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