As stated in the previous article, the case of which people are essentially being observed in their activities proves to be ethically questionable. People have always been cautious about anything that pertains to their safety. Companies don’t appear to have the intent of doing harm to a person, simply wishing to use the information for advertisements, but even so, this brings the question to just how ethical information gathering really is .
]]>I would want a future where this technology is never used without consent, but it can be really hard to track people who use these technologies in immoral ways and who are also proficient at hiding themselves online. However, I imagine the biggest obstacle isn’t the original creator but rather all the people after them who end sharing the material.
]]>Hopefully moving forward the possible of a discursive process of legal thought that includes identity groups with less power and social capital will become a more integral part of the production of technologies. It seems doubtful that we can contain the spread of tech, but hopefully we can steer and cajole tech in the right direction.
]]>It was this task that 3 college students from the University at Albany set out to solve. In their research, they aimed to use computers to help people tell truth from Deep-fakes. To do so, “Our method is based on detection of eye blinking in the videos, which is a physiological signal that is not well presented in the synthesized fake videos” (Li). Why blinking? They proclaim that deep fake videos blink a lot less frequent in comparison with real people. This way, it makes it very clear on how to spot a Deep-fake no matter how realistic the graphics may be.
Although their research solves one aspect of Deep-fake videos, their current method only uses the lack of blinking as a cue for detection. Their research may be useless in a couple of months or years, but their efforts demonstrated the passion needed to combat false information in our Digital Age.
Article:
Li, Y., Chang, M., & Lyu, S. (2018). In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. 2018 IEEE International Workshop on Information Forensics and Security (WIFS). doi:10.1109/wifs.2018.8630787
In Texas, two men were charged for online impersonation on Twitter. To do so, they created fake Twitter accounts and websites designed to impersonate and damage the reputations of women who live here (George). Due to the anonymity of social media, people like them can create website, posts, accounts and so much more to impersonate and jeopardize another human. In our Digital Age, it is amazing that we can upload and share so much among each other, but there is not enough taught on how to protect it. Just like Google Photos, a lot can be easily accessed with the right tools. With this information in the wrong hands, they could use it to end the social, political, or economic status for someone. Apart from punishing online impersonation, I wonder what we can do to prevent such acts from occurring in the future.
Source:
George, P., & George, P. (2018, September 22). Men charged with impersonating Austin women online to damage their reputations. Retrieved May 7, 2019, from https://www.statesman.com/NEWS/20170522/Men-charged-with-impersonating-Austin-women-online-to-damage-their-reputations