1. Discuss the ethical implications for an individual's privacy from their use of AFRA to apply for or renew a licence.
2. Discuss the possible risk, benefits and ethical implications of the State Police's proposed use of AFRA. 
3. What do you see as the potential legal and ethical implications (particularly with regard to the Privacy Act) of introducing AFRA, firstly for user access to state services and secondly for use on the streets of major cities? 

 

1. The analysis revealed that although AFR will allow law enforcement to locate suspicious individuals and offenders in which they would likely have been unable to do anything otherwise, substantial expenditure and improvements in police security procedures are needed to produce accurate results.

In addition to applying for a license, facial recognition has been considered as the most suitable method for identification in thousands of works.

From the other extreme, Recognize selects still photographs of missing individuals and matches them against both the record of the critical condition to create sufficient evidence. Testing tests prove that the picture was not of good quality for the program to operate in 68% of law enforcement officers' applications in the recognized format.

2.     Using Facial Recognition Technology, the police will face both profit and loss and a single loss can take the police away from their morals and principles.

The unreliable algorithm for facial recognition can increase the discrepancy; it may also lead to an increased level of false arrests due to false results. As regards ethics, concerns emerged in the areas of need, responsibility, objectivity, prejudice, transparency, and supervision.

The benefits of Face Recognition Technology:

• Enhanced Public Safety 
• Quick and non?invasive Verification of identity 
• Face recognition reinforces makes computer vision possible 
• Face - recognition advantages in retail and marketing.

The risks and cons of Face Recognition Technology:

• Due to wrong use of Facial Recognition Technology, police can treat an innocent and torture them.
• Bad-image quality restricts the efficacy of facial recognition
• Small picture scales make it increasingly challenging to remember the face.
• Multiple locations of the face can threaten the accuracy of facial recognition.
• Data collection and storage will restrict the technology used to recognize faces.

3.     Starting AFRA is the legal area or in any other area of the state will have many benefits but there will be many disadvantages as well. It can be seen as possible laws, but depending on this technology completely can prove to be harmful, to some extent this technology can help. It is true, but 100 percent correct results cannot be wished.

Its use will also be very helpful on roads, the record of people coming and going will be strong, crime will be helped in working on the road.

Step-by-step explanation

1. Automated facial recognition engineering detects specific features of the face that can then be calculated and balanced toward bio-metric information. Also, the system is connected to monitoring and Video surveillance that can monitor open areas and crowds, matching faces with a server to recognize individuals in real-time.

Automatic facial recognition technologies can become a help to community security, especially from security attacks in dense or densely packed areas. "They continued that, in his opinion, the community is not worried more about new technologies pervasiveness, because it is commonly used and outside the scope of police forces.

It is necessary to highlight the magnitude of the difference that is going on, as it will determine what's happening. Realizing regarding face detection and how it has been being used by countries and corporations is essential to help everyone face the potential. Little irony intended for that.

2.     The advantages and disadvantages of face recognition are contentious topics. Several participants point out all the benefits, but critics are still expressing their inconveniences. Several issues are surrounding facial recognition technology, like data leakage, power misuse, what radical agents inside government entities could do here, and much more.

The intense controversy surrounding facial recognition has since triggered some outcries in public relations. As a result, participants may remain unaware of the technology and thus inhibit its growth.

Even, several investors figure out is that face detection has immense promise with control.

 Good security-enhanced customer-centric company and banking are among the benefits of the facial recognition approach.

Although that mitigates the danger, the value of the chance may be large. Downright prohibitions exclude any potential value recognition from the emerging innovations. Then how can the harness the strength of facial recognition although defending against the dangers? The answers lie in embracing a clear structure for computer ethics that enables the firm to profit from the advantages, But also working to ensure that they prevent future threats and issues.

A good digital ethics system has four main elements: justice and inclusiveness, individual responsibility, integrity, and resilience.

3.     Beginning AFRA would have many advantages in the areas of law or in more areas of the state but there would also be several drawbacks. It could be used as potential rules, but this can absolutely turn harmful based on this technology, this technology has helped to a certain degree. 

Face recognition needs to be established in the latter before it can be enforced. A major part of the growth is pattern recognition, by which training on massive data sets, the software shows exactly its navigation capacity and accurate recognition instruments. Sadly, there are not many of those data sets that are diverse. Developers overwhelmingly overreport both Caucasians and children, citizens with no limitations.

Subsequently, facial recognition technology may be unreliable to monitor and balance the faces of colored people, women, and senior citizens. Especially in the U.S., the ethnic dimension is disturbing. Black people and transgender people of color are incarcerated overwhelmingly in contrast to many other groups.

The unreliable algorithm for facial recognition has the ability to increase the discrepancy; it may also result in a higher amount of false arrests based on false results. so the technology is helpful in many cases but ultimately this technology cannot be trusted completely.