Why is it essential to consider "model fairness" and "algorithmic bias" when deploying machine learning models in a capstone project?

A. Develop and apply data science skills B. Create random datasets C. Build a personal website D. Write research papers

A. Data cleaning B. Data collection C. Data exploration D. Data visualization

A. Adds complexity to the project B. Is optional and not necessary C. Guides the entire project lifecycle D. Slows down data analysis

A. Review and grade the project B. Provide guidance and support C. Write the project report D. None of the above