Collegeboard 5.3 & 5.4

Intentional or Purposeful bias Group Discussion

“What age groups use Facebook” vs “… TikTok”? What does the data say? Is there purposeful exclusion in these platforms? Is it harmful? Should it be corrected? Is it good business?

Why do virtual assistants have female voices? Amazon, Alexa Google, Apple Siri. Was this purposeful? Is it harmful? Should it be corrected? Is it good business?

Talk about an algorithm that influences your decisions, think about these companies (ie FAANG - Facebook, Amazon, Apple,Netflix, Google)

HP computers are racist

Does the owner of the computer think this was intentional?

How do you think this happened?

Is this harmful? Was it intended to be harmful or exclude?

Should it be corrected?

What would you or should you do to produce a better outcome?

5.3 Reflection

Computer bias is is a very important issue because algorithms developed sometimes can unintentionally exclude people, especially people of color. This should be a problem that could be fixed by including more point of views and having a diverse team. In the Trimester 2 project my team is working on, we are creating a period tracker. We previously did not have any male members a part of our team but now we have a new addition, which could help us decrease coding bias for a demographic that would typically not use a period tracking app.

Crowdsourcing Group Discussion

We have all experienced Crowdsourcing by using external data through API’s, namely RapidAPI. This data has influenced how we code and shown possibilities in obtaining and analyzing data. Discuss APIs you have used.

We have all participated in code Crowdsourcing by using GitHub. Many of you have forked from the Teacher repository, or exchanged code with fellow students. Not only can we analyze GitHub code, but we can obtain profiles and history about the persons coding history. What is the biggest discovery you have found in GitHub?

Kaggle datasets for code and science exploration. The avenue of data points us youtube or netflix channels. Analyzing crowd data helps us make decisions. Exam top 10 to 20. Did you see anything interesting?

Hacks

CompSci has 150 ish principles students. Describe a crowdsource idea and how you might initiate it in our environment?

What about Del Norte crowdsourcing? Could your project be better with crowdsourcing?

What kind of data could you capture at N@tM to make evening interesting? Perhaps use this data to impress Teachers during finals week.