1. Introduce one keyword, concept, technical term, jargon, example case, etc., that the author uses. Quote the author using this term (cite page number), then explain it in your own words in 2-3 sentences.
2. Introduce another quote from the reading that you found particularly interesting, convincing, not convincing, provocative, unclear, problematic, etc. Cite it with the page number, then react to it in 2-3 sentences. If you are picking a quote that you found confusing, you must say why you think it is confusing or try to explain what you think it means — if you have absolutely zero clue what it means, you might want to pick another one.
3. Summarize what you think the author’s broader argument or lesson is (or the most important one), in your own words, in 2-3 sentences.
part one Choose one website to answer
Exam prediction: https://blogs.lse.ac.uk/impactofsocialsciences/2020/08/26/fk-the-algorithm-what-the-world-can-learn-from-the-uks-a-level-grading-fiasco/
Job screening: https://www.theguardian.com/technology/2018/oct/10/amazon-hiring-ai-gender-bias-recruiting-engine
Criminal risk prediction: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Health care: https://www.scientificamerican.com/article/racial-bias-found-in-a-major-health-care-risk-algorithm/
Part two https://ucsd.instructure.com/courses/35503/files/6963416/download?verifier=Z8oyxMZon9BSHLuAkvaxLY3F26F37TVyYJ6RbwjT
User generated content is uploaded by users for the purposes of learning and should be used following Studypool’s honor code & terms of service.