As one of the main actors in transnational civil society, NGOs are increasingly playing a role in addressing regional and global problems that nation-states have been unable to cope with. For your discussion post this week:
Discuss 3 factors that have limited the effectiveness of NGOs
, answer the discussion question fully and engage substantially with at least 1 other student’s response. In your response, you should apply concepts and ideas from lecture and readings, and make your argument using concrete examples and data when possible.(will give you one other’s post after the first question complete)
Actors in transnational civil society
World politics and international development have undergone a radical transformation mostly because of increased globalization. A unique characteristic of this transformation is the increasing number and type of stakeholders organized into interest groups or nongovernmental organizations (NGOs). Their influence on public policy at local, national, and global levels and in nearly every aspect of policy-making and international relations has made them dominant actors in the development arena (Lewis 2003). NGOs have gained prominent positions in negotiations, especially in advocacy activities for human rights, peace, and the environment. However, the NGO sector has a number of important deficiencies: limited size, scope, and impact; loose structure, often with limited accountability to beneficiaries; inadequate attention to the ultra-poor; and undue influence from donor`s interests, which may not reflect the priorities of the poor.
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.
The facial recognition system is far from perfect. There are still a lot of dangers that need to be considered. Some of the risks that facial recognition brings are: the increasing of crime opportunities, the possibility of falsely accusing innocent people and a loss of privacy.
From 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 problem when these techniques are used in the real world.
Further research
Further research can be done in different ways. There are still a lot of ethical questions that need to be answered. A trade-off between privacy and the security of facial recognition systems needs to be found. Further research in this ethical field is necessary to understand the impact implementing facial recognition in the prevention of everyday criminality has.
To really understand facial recognition, the different methods and algorithms that can be used for facial recognition should be analyzed and compared with each other. This way, it should be easier to get an image of what facial recognition is and in what ways it can help with preventing crime.