AI biases still go on in today’s world. There are machine learning software biases, but that mostly happens because the humans who
are behind the software trained the software on a dataset that focuses on a specific gender, ethnic group, or maybe even type of
animals. For example, there can be a machine that is trained to identify a dog, so when attaching a cat, highly chance the machine
will say that it is a dog when it is actually a cat. Same thing can happen with gender and ethnic groups. Also, I learned that when googling
woman on google images there are many categories, but the categories are mostly full of woman body, and when googling man you also
see categories of man bodies, but then there is a category of suits which represents that bias that man have good jobs, work in
business, etc. Yet, when googling woman, you do not see that type of category. To stop the bias that is seen on google, of man
being hard workers and woman are just there for their bodies, google workers must get that idea off their minds, because they
basically are the ones who control everything that pops out on google when searching for a specific thing. Bias is not only seen
from the people, but it is also seen in software’s.
Storytelling with Data
Ariana Guerra / July 26, 2022
A chart I liked was map 5 (McDonald’s Across the World) because I personally enjoy eating McDonalds and learning something new about
McDonalds just made McDonalds a little more interesting. That sounds kind of weird, but it’s true, I did learn something new.
For example, the United States has more McDonald’s outlets than any other country. There are about 13,381 McDonald’s outlets
in the United States. From this chart I also learned that the McDonald’s burger in Norway is the most expensive than in other
countries. That was interesting because before looking at this chart I thought the United States McDonald’s burgers were the most
expensive. This chart is compelling because it can probably convince people to try McDonald’s burgers in other countries. After looking
at this chart I personally would like to try McDonald’s burgers from different countries. Especially the burgers from the McDonalds in
Norway because I would like to see if they are worth their price.
Bias or Bust activity
Ariana Guerra / July 25, 2022
In the bias or bust activity we got two different scenarios from Jeanne and there were two teams. Each team had to prove on a point.
For example, in the first-round team 1 had to prove to “eight-year-old” Jeanne that the earth is flat, and team 2 had to prove to
Jeanne that the earth is not flat. Team 1 showed that the earth is like a pizza, which was a good idea because “eight-year-old” Jeanne
loves pizza, which helped lead her to believing that the earth is flat. In round two, team 1 had to prove college student Jeanne that
it is better to move to Australia than to stay in America with her boyfriend. Team one, which is the team I was a part of, proved that
living in America means having many bills to pay. To live in America it is better if you have a high amount of money, and living in Australia
money is not a huge problem. Playing this game was fun because it made us prove that an idea is correct even if we do not believe it's
correct. For instance, I personally do not believe that the earth is flat, but even though I did not believe in it I still had to prove
that it is flat, which was an interesting experience.
Cybersecurity
Ariana Guerra / July 22,2022
Cybersecurity is the art of protecting networks, devices, critical systems, sensitive information, and data from unauthorized access,
criminal use, and digital attacks. Cybersecurity is very important because today there are many cybercriminals that target people’s
PII (personally identifiable information) and then sell that information in underground digital marketplaces, and cybersecurity can help
prevent any cybercriminal from collecting any information. Phishing is a cybercrime that happens a lot today. Phishing is when a target
is contacted by email, telephone, or text message by someone posing as a legitimate institution to lure individuals into providing
sensitive information such as PII, banking, and credit card details, and passwords. It is important to know about phishing because
many of us receive emails, phone calls, and text messages, and it is important for us to be aware of these kinds of criminals just
too keep our personal information safe. I did not know what cybersecurity was until now. Learning about cybersecurity was very interesting.
I enjoyed it a lot.
Citizen Science
Ariana Guerra / July 21, 2022
My group’s Citizen Science was called Cardinal Finder. Our goal was to see if weather affects the population of cardinals in
the United States. Our idea for us to possibly reach that goal was to have participants from all states to take photos of cardinals
and send it to us along with the specific weather of that day. Then we would compare the number of cardinals in warmer weather states
like Florida, Arizona, and California, to the number of cardinals in colder states like Alaska, Minnesota, and Montana.
My Favorite HTML Tutorial
Ariana Guerra / July 21, 2022
The video below is a tutorial on how to insert images using HTML. I like this video because it's understandable and the codes are
seen clearly in the video. Enjoy!
Scavenger Hunt
Ariana Guerra / July 20th, 2022
Today we went on a scavenger hunt where we had to interview important people on campus. We asked them how they used data and technology in
their daily job. We also added some other questions to learn more about that person. For example, we interviewed David Seaman, the dean of
libraries and of the ischool and we learned that his way of using data is to try and understand things he needs to make decisions about,
and most of the time he uses technology to communicate. We also leanred that David Seaman majored in English and
history in college. This scavenger hunt was a fun activity because we learned new things about the amazing people that work here in
Syracuse University.
Me and my partner, Alexis built a teachable machine that was able to identify the colors blue and purple. Me and Alexis tested our
teachable machine by attaching a full blue image and seeing if our machine was able to identify that the color was blue. When
testing the blue image, our machine did identify the right color, so that was great. The first time we tested with a purple
image the results were correct, but the second time we tested with another purple image the results were incorrect, which was
surprising. Based on what me and my partner built I see artificial intelligence being used as a color identifier.
For example, let’s say that one day every student should wear a specific color like orange, to school, our machine would be
able to identify orange on the students and that could help record the number of students that wore orange to school.
Information about Elizabeth Smith Friedman
Ariana Guerra / July 19, 2022
Elizabeth Smith Friedman was a woman who worked in American cryptology. She was the first American female cryptanalyst.
In 1923, Mrs. Friedman was a cryptanalyst for the U.S. Navy which led her to have a position with the U.S. Treasury
Departments Bureau of Prohibition and Bureau of Customs. After World War Two Mrs. Friedman became a consultant to the
International Monetary Fund. She also created communications security systems for the International Monetary Fund.
Mrs. Friedman began working at riverbank Laboratories in Geneva, Illinois, in 1916. Riverbank Laboratories was one of the first
facilities in the U.S. to study cryptography. Cryptography played a huge role in Mrs. Friedman’s life.
