Another entry in the Global Extraction Film Festival is a fascinating documentary on “screen culture” which examines how computers have come to increasingly impact all aspects of our lives — including the development of our own brains. Written and directed by Jordan Brown, Stare Into the Lights My Pretties (2017) is a wide-ranging look at this relatively recent and seemingly all-encompassing technological phenomenon. After watching the film, please address the following questions in a 300-400 word (or longer) essay:
- According to Professor Lelila Green, what are the ABCs that characterize technological development since the turn of the twentieth century?
- How does the neuroscientist Susan Greenfield distinguish information from knowledge? What is her definition of knowledge?
- According to Eli Pariser, what is a “filter bubble” and why does he think it is a negative development?
- The film spends a great deal of time examining the rise of “surveillance culture.” How comfortable are you with the degree of surveillance that is currently taking place in our society? Taking a long view, do you think increasing surveillance is positive or negative development for society? Why or why not?
Sample Solution
m this paper can be concluded that facial recognition creates a lot of opportunities to help prevent crime. However, there are still a lot of difficulties that can cause problems when these techniques are used in the real world. 1. Introduction Every day a lot of crimes take place. Criminality is a big problem all over the world. It is a challenge to track down criminals and Artificial Intelligence could help with this. The technologies that exist nowadays make it easier to identify individuals. One of these technologies is facial recognition. These technologies have the ability to identify criminals. Facial recognition algorithms can compare two sets of data. When a match has been found, a person could be identified. This leads to the following question: âHow can facial recognition be used to prevent everyday crime?â The research question is limited to everyday crime, since facial recognition is used in a lot of fields. By everyday crime is meant: robbery, violence, drug sales, insults, threats, forgery, driving under influence, growing hemp, theft, rape, (severe) abuse and murder. To answer the main research question a few subjects will be reviewed. The facial recognition technologies which exists and how they work will be discussed. The results of what the technologies have brought so far will be evaluated. But also the downsides, risks and ethical issues of facial recognition technologies will be taken into account in this paper. Furthermore the privacy law will be discussed in this paper, with focus on the European law. Taken all these things into consideration, there can be given an answer to our main research question.>
m this paper can be concluded that facial recognition creates a lot of opportunities to help prevent crime. However, there are still a lot of difficulties that can cause problems when these techniques are used in the real world. 1. Introduction Every day a lot of crimes take place. Criminality is a big problem all over the world. It is a challenge to track down criminals and Artificial Intelligence could help with this. The technologies that exist nowadays make it easier to identify individuals. One of these technologies is facial recognition. These technologies have the ability to identify criminals. Facial recognition algorithms can compare two sets of data. When a match has been found, a person could be identified. This leads to the following question: âHow can facial recognition be used to prevent everyday crime?â The research question is limited to everyday crime, since facial recognition is used in a lot of fields. By everyday crime is meant: robbery, violence, drug sales, insults, threats, forgery, driving under influence, growing hemp, theft, rape, (severe) abuse and murder. To answer the main research question a few subjects will be reviewed. The facial recognition technologies which exists and how they work will be discussed. The results of what the technologies have brought so far will be evaluated. But also the downsides, risks and ethical issues of facial recognition technologies will be taken into account in this paper. Furthermore the privacy law will be discussed in this paper, with focus on the European law. Taken all these things into consideration, there can be given an answer to our main research question.>
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