Question: Reflection 3 | The Fairfield Mall Incident Due date: Tuesday, February 14th,2023 Second/Final Due date: Friday, February 17th,2023 Case Study: The Fairfield Mall Incident I

 Reflection 3 | The Fairfield Mall Incident Due date: Tuesday, February
14th,2023 Second/Final Due date: Friday, February 17th,2023 Case Study: "The Fairfield Mall
Incident" I There were reports that the mall's security team started to

Reflection 3 | The Fairfield Mall Incident Due date: Tuesday, February 14th,2023 Second/Final Due date: Friday, February 17th,2023 Case Study: "The Fairfield Mall Incident" I There were reports that the mall's security team started to monitor and track the movements of customers who appeared to be of South Asian descent, particularly those who were perceived to be of Indian origin. The security team would follow these individuals around the mall; in some cases, they were stopped and questioned by the police. Many of these individuals were immigrants from India who had come to Canada to start a new life. The mall's management denied any wrongdoing and claimed that the facial recognition technology was not responsible for the incidents. However, an independent report conducted by a human rights organization found that the technology had a higher error rate when identifying individuals with darker skin tones, leading to the racial profiling of customers. The mall management faced significant backlash from the community and was eventually forced to remove the facial recognition technology. The incident sparked a broader conversation about the ethical implications of using facial recognition technology in public spaces, particularly concerning its impact on marginalized communities. Now that you have read the case study, take some time to reflect on the situation presented and consider the following questions before answering them. You may need to research best practices for the fair use of facial recognition technology, including potential regulations and oversight measures. How does the use of facial recognition technology by the Ontario government Idisproportionately affect the Indian immigrant community in this case study? What steps do you think could have been taken to prevent this type of discrimination from happening and ensure the fair use of facial recognition technology for all individuals? What steps could be taken to address and prevent the discrimination experienced by Indian immigrants in this case study, both in terms of the technology itself and in terms of broader societal issues such as racism and discrimination

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