Description
Read the following article by Karen Hao for the MIT Technology Review:
https://www.technologyreview.com/2021/02/05/1017388/ai-deep-learning-facial-recognition-data-history/
Based on your understanding of data politics, privacy, and surveillance, and using the case mentioned above as an example, answer the following questions: (PLEASE USE CONCEPTS OUTLINED IN THE LECTURE NOTES I PROVIDED!)
Q1. How does the reliance on data categorization affect people? (e.g., how can it be harmful or beneficial to certain communities)
Q2. To what extent do web-based data collection processes violate individual privacy?
Q3. Is surveillance necessary to produce accurate, reliable, and large-scale data sets?
Guidelines
Word limit: 1000 words
Submission format: PDF
8.5″×11″ or A4 paper size.
Times New Roman font.
11-point font size.
Single-spaced lines of text
1-inch margins on all sides
Paragraph indentation of 0.5 inches.
References will NOT be counted toward page or word limit. Reference format: ACM
Titles, Subtitles, Images, etc. won’t be counted toward the word limit.
You can go over the word limit, but no more than 10% of the word limit. For example, if the word limit is 1000, you can use a maximum of 1100 words and no more than that. You will be penalized for using more text.
Last Completed Projects
| topic title | academic level | Writer | delivered |
|---|