a) Discuss data ethics and privacy issues in big data with relevant real-life examples. (16.66
marks) b) Discuss definition of algorithmic bias and its underlying sources with relevant real-life
examples. (16.67 marks).
On National Teacher Day, meet the 2024-25 Kenan Fellows
a) Discuss data ethics and privacy issues in big data with relevant r.pdf
1. a) Discuss data ethics and privacy issues in big data with relevant real-life examples. (16.66
marks) b) Discuss definition of algorithmic bias and its underlying sources with relevant real-life
examples. (16.67 marks)