Facebook used to have a facial recognition system that automatically identifies, in any user’s photos, the faces of people who opted in. What is an ethical issue of this system?Group of answer choicesSecurity issue: one could exploit the facial features involved to make unauthorized transactions in banking apps.Fairness issue: those who opted in had their faces recognized, but those who did not opt in did not have this luxury.Privacy issue: those who opted in would have their facial features “available” all over the world for recognition.Moral issue: the identification would have been a matter of life-and-death for those who committed serious crimes.

将下列片段总结Counterarguments suggest that facial recognition technology has the potential to significantly enhance public safety and security by effectively identifying potential threats and criminals. Proponents of this viewpoint argue that the benefits derived from the implementation of surveillance systems that utilize facial recognition technology outweigh the potential privacy concerns that may arise. They contend that as long as appropriate safeguards and regulations are in place to prevent the misuse and abuse of this technology, its positive impact on society can be maximized.Proponents emphasize that facial recognition technology can play a crucial role in preventing and deterring criminal activities. By swiftly identifying individuals who pose a potential threat to public safety, law enforcement agencies can take proactive measures to mitigate risks and ensure the well-being of communities. This technology has the potential to enhance the efficiency and effectiveness of investigations, enabling law enforcement to identify and apprehend criminals more quickly, potentially preventing further harm.Moreover, proponents argue that the benefits of facial recognition technology extend beyond law enforcement. It can be utilized in various sectors, such as transportation, border control, and access control systems, to enhance security measures and streamline processes. For instance, airports can leverage facial recognition technology to expedite the identification and verification of passengers, reducing wait times and improving overall travel experiences. Similarly, businesses can utilize this technology to enhance security protocols, ensuring that only authorized individuals have access to restricted areas.While acknowledging the concerns surrounding privacy, proponents argue that appropriate safeguards and regulations can address these issues effectively. They emphasize the importance of implementing strict guidelines for data collection, storage, and access to ensure that facial recognition technology is used responsibly and ethically. This includes obtaining informed consent, anonymizing data whenever possible, and establishing clear protocols for data retention and deletion. By adhering to these safeguards, the potential for misuse and abuse of facial recognition technology can be minimized, while still reaping the benefits it offers in terms of public safety and security.In conclusion, proponents argue that facial recognition technology has the potential to significantly enhance public safety and security by effectively identifying potential threats and criminals. They contend that the benefits derived from the implementation of surveillance systems utilizing this technology outweigh the potential privacy concerns, as long as appropriate safeguards and regulations are in place to prevent misuse. By striking a balance between the benefits and concerns, society can harness the potential of facial recognition technology to create safer and more secure environments while respecting individual privacy rights.

Some ethical concerns around DS systems are:A. Racial, Gender, Age, or other biasB. Gaining the ability to easily automate varied, unpredictable tasks,C. Loss of jobs due to AI replacing people performing repetitive tasksD. Loss of jobs due to AI replacing people performing highly creative tasksE. Problems of the trustworthiness of the decisions made by AIF. Privacy issues such as human faces being photographed in publicQuestion 1AnswerOnly A, C, E, and F are correctOnly D, E, and F are correctAll options are correctOnly A, B, D, and F are correctOnly A and F are correctOnly B and F are correctOnly A, D, and F are correctOnly B, E, and F are correctOnly A, B, and C are correctOnly A and C are correctNone of the options are correct

Face recognition extends beyond detecting the presence of a human face to determine whose face it isTRUEFALSE

Which of the following is not true about face detection?Low data storageImproved securityEasy to integrateAutomated identification

Since the pandemic, Qantas has faced criticisms about long waiting time at airport and lost baggage.Assume that FaceIT®, a local start-up company, has approached Qantas to customise their newlydeveloped facial recognition technology to facilitate a better customer experience at Sydney airports.Specifically, when a passenger arrives at Sydney airport departure area, she can approach a FaceIT®kiosk, which uses a camera to scan her face and compares the image to a passport/driver license photothat the passenger has previously uploaded to the system. Once a match is confirmed, the passenger isautomatically checked in. The camera can also use an object recognition software to scan thepassenger’s luggage and link the luggage to her passenger information, without the need of a luggagetag. If the luggage is over the standard weight, the system calculates an overweight baggage fee andcharges it directly to the passenger’s pre-registered credit card. Furthermore, when a luggage is lost, apassenger only needs to approach a FaceIT® kiosk to scan her face to find out where her luggage issent to and when she can receive the luggage. In the event that the system cannot locate her luggage,the passenger will automatically receive a standard compensation amount credited to her credit card.As a result of this technology, the entire check-in time will take 10 seconds for a passenger with noluggage, or approximately 30 seconds for a passenger with luggage. FaceIT® has a facial recognitionaccuracy rate of 99.1%-99.8% (depending on demographic characteristics such ethnicity and gender),and an object recognition accuracy of approximately 98.9%.Required:Based on the above information, and drawing on your analysis on Qantas (including its environment,resources and capabilities, and strategy), apply the TOE framework to discuss factors that Qantasshould consider when deciding whether to adopt the FaceIT® technology.