Reference no: EM133977922

Question

Topic: Network Discrimination and Guilt by Association

Read: "The algorithms that make big decisions about your life" (BBC) Skim Additional Examples: "Automated decision systems: Examples of governmen Topic: Network Discrimination & "Guilt by Association" Read: "The algorithms that make big decisions about your life" (BBC) Skim Additional Examples: "Automated decision systems: Examples of government use cases" (AI Now Institute) Read: Lori Andrews, "Facebook is using you" (NYT Opinion) PDF version of the article above Read: danah boyd, Karen Levy, and Alice Marwick, "The networked nature of algorithmic discrimination" Topic: Algorithmic Bias: Varieties and Sources Read: Ali Breland, "White Code, Black Faces" (Logic Magazine) Watch: Joy Buolamwini, "How I'm fighting bias in algorithms" (8:35) Read: "Machine Bias" (Pro Publica) Read: Miranda Bogen, "All the ways hiring algorithms can introduce bias" (Harvard Business Review) Topic: Building Fairer Algorithms Read: Harini Suresh (MIT),"The problem with "biased data' Read: "Fairness and Abstraction in Sociotechnical Systems" (pp. 1-8) The articles this week explain how data aggregation can lead to discriminatory outcomes. Use only the assigned Week 5 reading as source material for this assignment. Using outside sources for your example is off-topic. Do not use chat gpt or any AI.

1. Identify an unfair use of automated decision-making from the Week 5 reading. At what stage in the automated decision-making process was bias introduced?

2. Whose interests does this unfair technology serve? How do these unfair outcomes affect us both as individuals and as a society.