Dialog:

- why are police on Italy so unfear?
- why do they have a record in refugees and immigrants and not in Italians?

Summary:

Facial recognition discriminates many people not only because of their color but also because of how they live in general and the situations in which they live. An example is Italy since the police of this country contained 2 million images of Italians, and of refugees and immigrants 7 million just where they come from. Therefore, it is likely that this technology is blown out of proportion.

APA:
Nikolett, A. & Alice, N. (August 03, 2021). 

Facial recognition is essentially being able to recognise a human face through technology. 
Since the recent rise in the popularity of human recognition in the past few years, there have been many ethical controversies behind it. While facial recognition can help verify someone's identity, it also raises privacy issues.
How does it work?
Recognising faces might sound like quite an easy task. You're familiar with a family, friend or acquaintance's face. That's how facial recognition works, but on a much greater scale:
1. An image of your face is taken.
2. Your face's geometry is identified.
3. Your facial signature is compared to other known faces.
4. A determination is made.

- The  fastest way of entering into our devices.
- ID or a Ticket have  been exchanged for facial recognition in the train estation of Osaka. 
- The easiest way for police when identifying a suspect after a crime
Dialog:

Is facial recognition really expensive?
What is the percentage of people using facial recognitio in their devices?
Should facial recognition be used in schools to identify who enters and gets out of school?
Summary:

Facial recogition is a type of technology which now a days has becomed really useful. About a 59% of people trust on biometric identification, since it is the most efficient and fastest way of entering into our divices. It has also become extremely important  in terms of security, since scanning peoples faces when entering into, trains, plains, etc... can be really helpful to control the security in those. Lets not forget about how this technology can help police officers, having the face of a suspect  which could have comitted a crime, is really useful when attempting to find and interogate the person.
APA:
Nikolett, A. & Alice, N. (2021, August 03). 

Dialog:
How Amazon can detect face recognition what do they like?
Amazon with face recognition know everything you like?
Does Amazon save what you prefer buying?

Summary:

Someone from the Amazon company stated that they can recognize in a few seconds who is the person who is going to compare on Amazon only by face recognition. Amazon offers a "follow people" function that, depending on who they see through face recognition, recommends one thing or another. And according to your face-recognizing, they put things with more or less price.

APA:
Justin W. (June 28, 2018 at 12:10 pm). 

- Some facial recognition tools have trouble with racial bias: According to the researchers, facial recognition technologies falsely identified Black and Asian faces 10 to 100 times more often than they did white faces.
- Facial recognition tools are versatile and can identify objects.
- Provides an added level of security to the customer's experience.
- Potential to streamline many aspects of everyday life (e.g. identify threats, simplify travel, diagnose conditions).
- Facial recognition is still in its nascent years and is yet to evolve.
- It is almost impossible to escape facial recognition: as we post our faces on social media we are willingly give all the needed information to the AI behind the technology.
- 

Dialog:

Summary:

APA

Summary:

APA

-Helps find missing people and identify perpetrators
-Protects businesses against theft
Dialog:

How many people can facial recognition find in 15 seconds?
Is the money from buisnesses controlled by facial recognition? 
Summary:

This modern tehnology finds missing people by comparing faces on a live camera. This can be really poitive when kids go missing, or even to find children which have been missing for years, by using a surface which predicts how they would look when being older.  Can be really effective when potecting a buisness software or by tracking the thieves who  have stolen.
APA:
David, G. (2021, July 20). The pros and cons of facial recognition technology. Retrieved from https://www.itpro.com/security/privacy/356882/the-pros-and-cons-of-facial-recognition-technology

Summary:
As technology rapidly improves and becomes more efficient, facial recognition is without a doubt going to form a big part of our lives. Especially with big companies such as Meta and Apple actively using it, it will even be hard to avoid.

However, though it might all sound exciting and new, we must take privacy and social issues into account. 


APA

-They use this as a way to threaten because your face recognizes has information about you.
-China, UAE, North Korea, Iran, and Iraq are the countries where privacy is violated.

Dialog:
How does it violate privacy? How do they use it as a threat?

Summary: Facial recognition systems are a form of absolute violation of the right to privacy and undermine the right to freedom of expression and peaceful assembly. Facial recognition has problems because it is used as a weapon to threaten. Some countries with limited particular freedoms, generally use facial recognition to asset on citizens and arrest those supposed troublemakers.

APA: Amnestry International (January 26, 2021 8:22 am). 

Dialog:

Why do they put on prison innocents unless of real robbers?
Why police don't see the difference between the robbers with the innocents?

Summary:
Lawbreakers can also use facial recognition to commit crimes against innocent victims. They can collect particular information from individualities, including images and vids collected from facial reviews and stored in databases, to commit identity fraud. With this information, a robber could take out credit cards and other debts open bank accounts in the victim's name, or indeed produce an illegal record using the victim's identity. Beyond fraud, bad actors can kill or stalk victims using facial recognition technology.

APA:
David, G. (20 Jul 2021). The pros and cons of facial recognition technology. Retrieved from https://www.itpro.com/security/privacy/356882/the-pros-and-cons-of-facial-recognition-technology

A brief history of facial recognition:
Facial recognition was actually introduced in the 1960s when it was used to classify photos of people. But it was the 2010s that really kickstarted the modern era of facial recognition. It was when computers were finally powerful enough to train networks to find facial recognition a standard feature. Soon after, facial recognition was being used for FaceBook tagging and the identification of participants in protests...
There have been concerns about unsolicited facial recognition in public spaces. This is what Brenda Leong has to say about it “You just walk through a set of cameras and all those things happen very seamlessly, sports arenas, event venues, amusement parks, all those places either are using or would have ideas of ways to use it similarly.”


Dialogue:

Summary:
Though facial recognition might seem like quite a modern feature in our day to day lives, it has been around for more than 60 years.

APA:
Thorin Klosowski, (2020, July 15). Facial Recognition Is Everywhere. Here’s What We Can Do About It. 
Retrieved from: 

https://www.nytimes.com/wirecutter/blog/how-facial-recognition-works/

- In only 5 seconds this technoly recognizes you and opens your phone
Dialog:

About a 99.44% of the faces are detected in only 5 seconds.
Does a tablet have the same facial recognition software as a tablet? 
Summary:

This technology has not only turned into the easiest if not into the fastest. It only takes 5 seconds to enter into your phone. Isn't it amazing? It has been demostrated that about a 99.4% of faces of people which use this software have been detected in less than 10 seconds.
APA:
Thales group (2021, June 24)Facial recognition: top 7 trends (tech, vendors, markets, use cases). Retrieved from https://www.thalesgroup.com/en/markets/digital-identity-and-security/government/biometrics/facial-recognition

Facial recognition systems are employed throughout the world today by governments and private companies. Their effectiveness varies, and some systems have previously been scrapped because of their ineffectiveness. The use of facial recognition systems has also raised controversy, with claims that the systems violate citizens' privacy, commonly make incorrect identifications, encourage gender norms and racial profiling, and do not protect important biometric data. These claims have led to the ban of facial recognition systems in several cities in the United States. As a result of growing societal concerns, Meta announced that it plans to shut down Facebook facial recognition system, deleting the face scan data of more than one billion users. This change will represent one of the largest shifts in facial recognition usage in the technology's history.

A brief history of facial recognition:
Facial recognition was actually introduced in the 1960s when it was used to classify photos of people. But it was the 2010s that really kickstarted the modern era of facial recognition. It was when computers were finally powerful enough to train networks to find facial recognition a standard feature. Soon after, facial recognition was being used for FaceBook tagging and the identification of participants in protests...
There have been concerns about unsolicited facial recognition in public spaces. This is what Brenda Leong has to say about it “You just walk through a set of cameras and all those things happen very seamlessly, sports arenas, event venues, amusement parks, all those places either are using or would have ideas of ways to use it similarly.”


Dialogue:

Summary:
Though facial recognition might seem like quite a modern feature in our day to day lives, it has been around for more than 60 years.

APA:
Stavros Shiaeles, (2021, November 10). Facebook will drop its facial recognition system – but here’s why we should be sceptical
Retrieved from: 

https://theconversation.com/facebook-will-drop-its-facial-recognition-system-but-heres-why-we-should-be-sceptical-171186