Week 5 -Summary of Week 4
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SKY NEWS REPORT- SUMMARY OF WEEK 4
Nine North Ayrshire schools are implementing facial recognition technology to reduce payment queues during meal breaks. The project aims to minimize COVID-19 transmission and eliminate waiting times. However, parents and campaigners have expressed concerns about the technology’s accuracy. The North Ayrshire Council claims that 97% of children or parents agree to the use. Critics argue that facial recognition is not monitored as strictly as other biometrics and that it may instigate arrests without reason. The technology is also used in public areas like airports and events.
Revised summary of a news article. Article 2 – Metropolitan Police Force use of Facial Recognition Technology.
A research conducted by professors on the use of facial recognition technology for crowd monitoring by the Metropolitan police force has exposed issues such as invasion of privacy, lack of accuracy and failure to obtain a real consent from the public. Additionally, there are also concerns about the validity of the people on the watch list and suspicions of creep surveillance by the police. Despite being challenged in court by human rights groups to refrain from using this technology, the police still intend to use this technology in an upcoming public event with an estimated attendance of 200,000 people.
Revised Summary Article 2
A research has been conducted to prove if the Met police using facial recognition technology is accurate . It has been proven that this method is 8.1% inaccurate by showing people who are innocent, this result has been supported by real life trials . It has been mentioned that this technology have many disadvantages such as privacy which if someone has to take the met to court it would be a successful challenge .Another disadvantage is that the watch list isn’t updated which makes it insufficient . In conclusion an investment will be made to update their system and to improve their efficiency.
Revised Summary – Met Police Facial Recognition Technology
A report has criticised the use of the Metropolitan Police facial recognition technology, which was found to be 81% inaccurate. Researchers led by Professor Pete Fussey and Dr. Daragh Murray highlighted several legal and ethical issues in their report, urging the police to stop using the technology. The police, however, claimed their system misidentified only 1 in 1,000 faces. The public has concerns about the lack of consent and “surveillance creep”, with some treated as suspicious for avoiding the cameras. A list of outdated “watch lists” is also leading to false flaggings. Groups like Big Brother Watch are pushing for this system to be reviewed in court, calling it a violation of privacy rights.
Revised Summary Article 1
A report regarding the Facial Recognition implementation amongst students in North Ayrshire has arisen a lot of controversy between campaigners and parents alike.
(David Swanston the managing director of CRB Cunningham) states that this is the fastest method to speed up queues during lunch breaks.Similar practices in American schools have been banned of these practices and experts say that there are less intrusive ways to approach these issues.
In 2015 similar practices were used in Festivals and Campaigners are concerned that there might be arrests without reasonable cause, Despite this study by the metropolitan shows that the system is 81% inaccurate.
Revised Summery of Article 1: Face Recognition.
Due to Covid-19 Risks, nine schools in North Ayrshire have introduced face recognition for children to pay for their lunch without using card payments and Fingerprint scanners. In other continents, banned the technology and stated that it is not covered under the same laws as DNA and fingerprints.
Summary for Article 2 (Met’s police facial recognition technology)
The Metropolitan Police’s facial recognition technology was analysed in detail and it was concluded that it has an 81% error rate, this fact was disclosed based on researches that has been made. This high rate of inaccuracies led to significant concerns. Critics reports concluded that this kind of technology is not able to recognise a significant number of individuals, which lowers the quality of the technology. The above mentioned facts cause constant ongoing discussions about the ethical issues that the facial recognition electronics may have.
.Summary of Week 4- Facial recognition.
Nine schools in North Ayrshire have introduced facial recognition technology for lunch payments to reduce contact and minimize Covid-19 risk. This move sparked criticism from parents and advocates who worry that children weren’t fully informed about potential privacy issues. The North Ayrshire Council reported that a high consent rates from students and parents, with 97% approving to the use of facial recognition. While the technology speeds up transactions, similar systems were banned in the U.S. over many privacy issues.
(1) Facial recognition used to take payments from schoolchildren.
Facial recognition is introduced in nine North Ayrshire schools to speed up lunch queues and avoid covid-19 risks. This type of system its being claimed that is the fastest method for identification as the average time per student is around five seconds. It can be an asset to schools as during the period and average of 1000 students are being served. However, parents and campaigners have raised concerns about biometric surveillance, noting that students haven’t been adequately informed about privacy risks.A key concern is that this technology can lead to potential unnecessary arrest since people are being exposed in crowds. Metropolitan Police found that the system is 81% inaccurate, yet despite these calls, there isn’t any regulations to sustain and providing guidelines also the Department of Education does not oversee this system.
Even with these concerns, 97% of students or parents have consented to facial recognition for lunch payments. These type of technology was already been introduced in the UK during the 2015 trial by Leicestershire Police at the Download Festival to manage entry queues and nowadays its used in Airports and the Notting Hill Carnival for crowd identification.
Revised summary- Facial recognition article.
Nine schools in North Ayrshire have introduced facial recognition software to streamline lunch payments and reduce COVID-19 risks. While 97% of parents and students supported the system, privacy concerns were raised, as students weren’t fully informed about the potential risks. The Department for Education did not assess the system’s merits, as it doesn’t monitor such technologies. The facial recognition system, previously used for crowd surveillance at large events since 2015, has been found to be 81% inaccurate according to a study by the MET police. Additionally, similar systems in U.S. schools have been temporarily banned due to concerns over their implementation.
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