https://padlet.com/awinkelmann3/4djg15bxrftfvk2q Week 11 Andrew Winkelmann en-us 2020-11-05 03:13:43 UTC 2020-11-05 04:26:28 UTC hello@padlet.com awinkelmann3 https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892575030  I do have some bad habits when it comes to the use of social media. I scroll through Instagram first thing in the morning and I often go on long YouTube tangents while I just watch the next video recommended to me. I believe that what I see while I am on these platforms is based on the data that they have collected on me, and it has influenced how I view some issues or what I want to watch next, and it has likely influenced my biases in some way. 
While social media has allowed us to connect to people around the world, it also seems to be polarizing an already divided world. With no way of controlling what the algorithm suggests next, it has gotten to the point where the individual has to look up other sources themselves in order to understand where the other side comes from. It seems like we are really fragmented while being connected at the same time. ]]> 2020-11-05 03:14:36 UTC https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892575030 awinkelmann3 https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892619566 There are some very convincing benefits of facial recognition, including the following: the secure locking of electronic devices, use in a crime to prove one's innocence, and in general to make identification processes more efficient and less time consuming. The downside to all of this is the lack of privacy. If this technology develops past iPhones, people could be getting identified using their facial features without consent more and more. There are also issues concerning how easily people are identified by their faces, which leads to an inequality in how people benefit from the technology, and could leave people behind in the use fo this technology. 
It is extremely hard to make an algorithm and machine neutral because the people who design the machine could make a mistake that has consequences unknown to the designer. A machine only works with the data provided to it, it currently has no ability to think about what it is doing as neutral. 
Currently, I do not know the true costs of giving up my facial recognition data and because of this I tend to be skeptical in giving out this kind of data. To me, this whole age is vary vague and because of that I try my best to limit the amount of data I give up.
Buolamwini's research has the potential to be used in order to lower the amount of bias in many technologies. Creators of the technology are currently not aware of the inequity problem and therefor do not try to fix it, but by bringing attention to the issues, Boulamwini research can be used to encourage more diverse teams and ideas. ]]> 2020-11-05 03:44:17 UTC https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892619566 awinkelmann3 https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892648065 I would add that that the people who create these technologies are businesses with expectations surrounding profit and value. These businesses are going to introduce technologies that will benefit them monetarily and so people should understand that there are technologies that haven't been introduced because they will not bring the company profits. There is not an item on the list that doesn't belong, and I strongly agree with the third point that most people in the tech business want to do good. I feel that this idea is lost in all of the controversy that comes with any technology. I feel that number nine is also important because in order to assess a tech company, one most know about how these tech companies get their money.]]> 2020-11-05 04:03:44 UTC https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892648065 awinkelmann3 https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892660778 I don't think I am shocked to here about bias in science history because I think we still have a long way to go to become truly unbiased, but it is very unfortunate that we have to deal with the consequences of unequal technology today. Technology continues to become a bigger and bigger part of our lives so science/tech have huge roles in creating justice/injustice. If a technology or conclusion is biased, it will affect whoever uses the technology or conclusion, which will justify and further the bias. Instead, what tech and science should do is consider the factors of bias early on in an experiment or development of technology. This consideration will make it easier to produce a conclusion or technology that is less biased had there been no ethical considerations or if considerations had been take into account later on down the road of development. ]]> 2020-11-05 04:11:49 UTC https://padlet.com/awinkelmann3/4djg15bxrftfvk2q/wish/892660778