Question 8Collaborating with a social scientist to provide insights into human bias and social contexts is an effective way to avoid bias in your data.1 pointTrueFalse

Question 5In AI, what does bias do?  1 pointAugments human intelligence Solves problems faster Identifies and addresses socio-technical issues raised by AI  Gives systematic disadvantages to certain groups or individuals

A researcher did an anonymous survey with students in a mixed-gender middle school to learn the health and diet patterns of middle school students in the entire country. What type of bias could it introduce?Implicit bias.Selection bias.Group attribution bias.Automation bias

Question 4 of 10When would a bias most likely be harmful?A.When it draws a conclusion based on a large amount of evidenceB.When it makes untrue assumptions about peopleC.When it is used in combination with logos and ethosD.When it is about a sports team or type of music

A researcher is conducting a study on the effectiveness of a new educational program. They only report results from the group of participants who showed the most improvement and ignore the results from the rest of the participants. Which of the following best describes the type of bias this researcher has engaged in?Question 1Answera.P-hackingb.Sampling biasc.Cherry-pickingd.None of the above

Recently, you were presented with cases about data analytics in the real world. One case involved an unfair conclusion about the performance of women who worked at a business. It demonstrated that data can sometimes be true, yet unfair. In addition, it highlighted the importance of asking, "Why?" when reviewing the results of data analysis.Another example involved data analysts prioritizing fairness and going out of their way to ensure their data was as fair as possible. Because they were working with sensitive and potentially biased health data, they chose to collaborate with social scientists in order to better understand the social context behind that data. If you need to, return to the video to refresh your understanding of the examples before you continue. Then, discuss the first case and how the analysts at that company could improve their process:What could they have done differently to be fairer in their analysis? What could have made their conclusion less biased? Submit two or more paragraphs (100-200 words total)