In a recent article in Respublica, Jesper Ryberg argues that CCTV can be compared to a little old lady gazing out onto the street below. This article takes issue with the claim that government surveillance can be justified in this manner. Governments have powers and responsibilities that little old ladies lack. Even if CCTV is effective at preventing crime, there may be less intrusive ways of doing so. People have a variety of legitimate interests in privacy, and protection (...) for these is important to their status as free and equal citizens. Consequently, though necessary, effectiveness is insufficient to justify CCTV in a democracy. (shrink)

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual, fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is not necessarily the (...) case. In preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy. (shrink)

‘Torture porn’ films centre on themes of abduction, imprisonment and suffering. Within the subgenre, protagonists are typically placed under relentless surveillance by their captors. CCTV features in more than 45 contemporary torture-themed films (including Captivity, Hunger, and Torture Room). Security cameras signify a bridging point between the captors’ ability to observe and to control their prey. Founded on power-imbalance, torture porn’s prison-spaces are panoptical. Despite failing to encapsulate contemporary surveillance’s complexities (see Haggerty, 2011), the panopticon remains a dominant paradigm (...) within surveillance studies because it captures essential truths about the psychologies of self-governance and interdependency. This chapter will use torture porn’s panoptical spaces and captor-captive relationships as a springboard into examining those broader philosophical issues regarding selfhood. In the torture-space, cameras signify the control to which captives must submit. Since they are threatened with death, the surveillance dynamic appears to entirely subjugate these prisoners. However, the captive must undertake some agency in the oppression. Much of the captor’s implied threat is enacted by the captives, who brutalise one another to save themselves. The captor’s apparent omniscience is translated into omnipotence only because the captives forsake self-control – opting to engage in violent, contra-social behaviours – out of fear. Thus, it is implied that self-ownership is the bedrock of stable, interdependent sociality. To inspire horror, the opposite is depicted: fractured groups comprised of paranoid, self-invested individuals. By submitting to external pressure, these “weak” individuals empower their tormentor. Captives are not only encouraged to enact their own suppression, but also to internalise culpability for the suffering they undergo. Despite being threatened with erasure, torture porn’s protagonists are spotlighted in these films. Abductees dominate the screen-time, and their suffering drives the narrative forward. Torturers are often motivated solely by their victims’ agony. In many cases, torture is designed specifically for each hyper-individualised captive. These forms of emphasis imply that captives are the stimulus for their own victimisation. The captor’s exaggerated interest in the prisoners is perversely flattering: captives are implied to be worthy of the captor’s maniacal attention, which is reified by the CCTV cameras. In torture porn’s scenarios, it is not immediately clear who has greater control over the individual: the captor or the captive themselves. By dissecting how self-preservation, self-governance, and self-centredness manifest in torture porn, this chapter seeks to examine the dialectical qualities of liberty, interdependency and autonomy. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is making (...) a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

A subdiscipline has emerged around AI ethics, which is comprised of a wide array of individuals: computer scientists, ethicists, cognitive scientists, roboticists, legal professionals, economists, sociologists, gender, and race theorists. This has led to a very interesting branch of research, addressing issues surrounding the development and use of AI. This chapter will give a very brief snapshot of some of the most pertinent ethical concerns. Many of the issues in the Big Data Ethics chapter in this collection are often applicable (...) to AI ethics, because of the data that these technologies retrieve, store, and use, so will not be duplicated here.1 -/- While data-related issues are not new or unique to AI, AI does hold the potential to dramatically retrieve and analyze data that would not be possible otherwise. Data is being used in unique and transformative ways, such as the use of facial recognition to identify individuals from photos or CCTV; AI robots to retrieve live video feed about the patient(s) that it is monitoring; or in new ways, such as self-driving cars collecting an abundance of data about our surroundings, how we drive, and passengers in the car. There is the potential to infringe on individuals’ privacy, restriction of resources, or at worst, the creation of a surveillance society. (shrink)

Study shows that mask-wearing is a critical factor in stopping the COVID-19 transmission. By the time of this article, most states have mandated face masking in public space. Therefore, real-time face mask detection becomes an essential application to prevent the spread of the pandemic. This study will present a face mask detection system that can detect and monitor mask-wearing from camera feeds and alert when there is a violation. The face mask detection algorithm uses a haar cascade classifier to find (...) facial features from the camera feed and then utilizes it to detect the mask-wearing status. With the increasing number of cases all over the world, a system to replace humans to check masks on the faces of people is greatly needed. This system satisfies that need. This system can be employed in public places like transport stations and malls. It will be of great help in companies and huge establishments where there will be a lot of workers. Alongside this, we have used basic concepts of transfer learning in neural networks to finally output the presence or absence of a face mask in an image or a video stream. Experimental results show that our model performs well on the test data with 100 percent and 99 percent precision and recall, respectively. We are making a savvy framework that will identify whether the specific user has worn the mask or not and further tell the accuracy level of the detection. Our framework will be python and AI-based which will be safe and quick for implementation. This system will be of great help there because it is easy to obtain and store the data of the employees working in that Company and will very easily find the people who are not wearing the mask and a will be sent to that respective person to take Precautions not wearing a mask. Potential delays are analyzed, and efforts are made to reduce them to achieve real-time detection. The experiment result shows that the presented system achieves a real-time 45fps 720p Video output, with a face mask detection response of 0.15s and the accuracy of detection 99%. (shrink)

It is especially hard, at present, to read the newspapers without emitting a howl of anguish and outrage. Philosophy can heal some wounds but, in this case, political action may prove a better remedy than philosophy. It can therefore feel odd trying to think philosophically about surveillance at a time like this, rather than joining with like-minded people to protest the erosion of our civil liberties, the duplicity of our governments, and the failings in our political institutions - including our (...) political parties – revealed by the succession of leaks dripping away this the summer. Still, philosophy can help us to think about what we should do, not merely what we should believe. Thus, in what follows I draw on my previous work on privacy, democracy and security, in order to highlight aspects of recent events which – or so I hope – may prove useful both for political thought and action. (shrink)