Poverty and income inequality

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Identify the global societal problem within the introductory paragraph.
Conclude with a thesis statement that states your proposed solutions to the problem. (For guidance on how to construct a good introduction paragraph, please review the Introductions & Conclusions (Links to an external site.) from the Ashford Writing Center (Links to an external site.).)
Describe background information on how that problem developed or came into existence.
Show why this is a societal problem.
Provide perspectives from multiple disciplines or populations so that you fully represent what different parts of society have to say about this issue.
Construct an argument supporting your proposed solutions, considering multiple disciplines or populations so that your solution shows that multiple parts of society will benefit from this solution.
Provide evidence from multiple scholarly sources as evidence that your proposed solution is viable.
Interpret statistical data from at least three peer-reviewed scholarly sources within your argument.
Discuss the validity, reliability, and any biases.
Identify the strengths and weaknesses of these sources, pointing out limitations of current research and attempting to indicate areas for future research. (You may even use visual representations such as graphs or charts to explain statistics from sources.)
Evaluate the ethical outcomes that result from your solution.
Provide at least one positive ethical outcome as well as at least one negative ethical outcome that could result from your solution.
Explain at least two ethical issues related to each of those outcomes. (It is important to consider all of society.)
Develop a conclusion for the last paragraphs of the essay, starting with rephrasing your thesis statement and then presenting the major points of the topic and how they support your argument. (For guidance on how to write a good conclusion paragraph, please review the Introductions & Conclusions (Links to an external site.) from the Ashford Writing Center (Links to an external site.).)

 

Sample Solution

sometimes have to endure minor inconveniences to be able to detect criminals. But in case there are too many false positives for each true positive, the harm done to innocent people is more important than detecting or arresting a criminal [5]. The systems should be tested on their performance before they are used. With the information this provides, improvements can be made to the systems in order to reduce the rate of false positives [4].

The challenge is how to trade-off between privacy and the security of facial recognition systems. One cannot prevaricate the loss of privacy by using facial recognition in everyday life. But the question is, is the improvement in security enough relative to the loss of the individual’s privacy? There is not one specific answer to this question. There are and there always will be propone­­­nts and opponents for the use of facial recognition systems. The proponents state that the systems gain enough security relative to the loss of privacy. It can help to prevent crime and detect criminals, thus people feel safer. But the opponents state that there will be too much loss of privacy, the technology can make errors and can be misused. This makes people fearful.
There should be made strict guidelines concerning privacy when using facial recognition to prevent everyday crime. Furthermore, the technologies should be checked very well, so that there are no chances on false positives.

5. Conclusion
Facial recognition systems can be used in various ways to prevent crimes. One of these ways is using FaceIt. FaceIt is a face recognition system that can search through a crowd for a face and match this face with the mugshot history of this specific person. It is considered to be the most accurate facial recognition software as of today. Other results are: matching faces from live security images, face recognition in photographs and face recognition from sketches. These are all methods in which a face (of e.g. a possible criminal) is compared to a face in respectively live security images, photographs and sketches, to see if there is a match.

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