U3 3.17 Machine Learning && Bias Research by Alexander Stagge

astagge1 — 2023-01-17 18:28:44 UTC

https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

astagge1 — 2023-01-17 18:29:24 UTC

https://assets.website-files.com/5e027ca188c99e3515b404b7/5ed1002058516c11edc66a14_FRTsPrimerMay2020.pdf

astagge1 — 2023-01-17 18:30:00 UTC

https://www.nytimes.com/2019/01/31/opinion/ai-bias-healthcare.html

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astagge1 — 2023-02-01 20:36:41 UTC

astagge1 — 2023-12-22 13:22:18 UTC

(19:22-21:26)

astagge1 — 2023-12-22 13:30:41 UTC

astagge1 — 2023-12-22 13:32:34 UTC

astagge1 — 2023-12-22 13:36:50 UTC

astagge1 — 2023-12-22 13:40:31 UTC

2025-01-31 14:26:05 UTC

This reading is about the issue of AI bias when it comes to machine learning. AI bias is when AI produces biased results. This issue is significant because it can result in errors or unfair outcomes. For example, healthcare systems have shown that they have lower accuracy when it comes to minority patients than white patients. This reading does affect the way I think about machine learning because if inaccurate results are being produced, what's the point of using AI. However I do think this is a solvable issue. It can be solved by first removing the bias from ourselves. -Abrar

2025-01-31 14:34:02 UTC

This reading is about the risk of using AI and machine learning in the medical field. Using AI in the medical field is not reliable because AI would need a large data set of people from different backgrounds or the diagnosis may be wrong. This issue is significant because people being diagnosed with the wrong health conditions could worsen their health or even lose their lives. This reading does affect the way I think about AI in the medical field. It has made me realize why we can’t use it when it comes to health. -Abrar