Pulling from our class discussion and the concepts you’ve learned so far, develop a reaction paper to the article we discussed in class today (Titled: How a Computer Scientist Fights Bias in Algorithms). This reaction paper should use the questions posed in class as a guide. This paper is not simply answering the questions from class but using those questions to react to the article and frame your discussion. Your can discuss issues, example, on how issues discussed in the paper impact samples and population or what algorithm bias meams for generalizing data findings. As you reflect, how does the article supplement your understanding of the statistical concepts we’ve discuss thus far. The questions posed in class were:

-What is algorithmic bias and how would you explain it to a 5th grader?

-Who is most impacted by algorithmic biases? Provide reasons for your answer.

-Based on the article and your understanding, provide 3 ways these algorithms take shape on social media.

-What does credible data mean to you? Give an example of a credible data source? Why do you believe it to be credible?

-What is an example of administrative data and how might they distort the realities of your community or the community you live in? Be specific in your responses.

-Discuss 3 ways a data set can become skewed. How does algorithmic bias play a role in skewed data?

-What are some ways to create symmetry in a data set?

-Based on your reading of the article, discuss how representation in data directly impacts bias in the interpretation of your reality.

-Choose 3 of the concepts listed above to discuss the impact of algorithm bias on populations and samples.

The article posed in class was: https://www.npr.org/2022/03/14/1085160422/computer…