Microsoft Wants Facial Recognition to Be Regulated to Prevent Bias

1. Is facial recognition regulated?
2. Why should face recognition be banned?
3. What are the disadvantages of facial recognition?
4. Does Facial Recognition reduce crime?
5. Who benefits from facial recognition?
6. How do police use facial recognition?
7. Is Face Unlock safe?
8. How good is facial recognition software?
9. How do you fight facial recognition?
10. What are the two most significant drivers for facial recognition growth?
11. Is facial recognition an invasion of privacy?
12. How facial recognition software Recognises points on a person's face?

Is facial recognition regulated?

There are federal, state and city-level efforts to regulate the technology and class-action lawsuits taking aim at high-profile companies that use facial recognition. While there is no federal law in the U.S. to specifically regulate the burgeoning technology, numerous bills have been proposed.

Why should face recognition be banned?

Facial recognition systems are a form of mass surveillance that violate the right to privacy and threaten the rights to freedom of peaceful assembly and expression. Facial recognition risks being weaponized by law enforcement against marginalized communities around the world.

What are the disadvantages of facial recognition?

As with any technology, there are potential drawbacks to using facial recognition, such as threats to privacy, violations of rights and personal freedoms, potential data theft and other crimes. There's also the risk of errors due to flaws in the technology.

Does Facial Recognition reduce crime?

Police often frame facial recognition as a necessary tool to solve the most heinous crimes, like terrorist attacks and violent assaults, but researchers have found that the technology is more frequently used for low-level offenses.

Who benefits from facial recognition?

1. – Improved Public Security

• Face recognition makes it easier to track down burglars, thieves and trespassers. ...
• The technology is not limited to tracking down criminals. ...
• Face recognition could make security checkpoints at airports less intrusive to passengers.

How do police use facial recognition?

Facial recognition algorithms compare identity information from facial features in two face image samples and produce a measure of similarity (sometimes called a match score) between them; this information can be used to determine whether the same person is in both images.

Is Face Unlock safe?

Of course, if someone wants to get inside your phone that badly, it wouldn't matter if the device used facial recognition, fingerprint biometrics, or a password. Facial recognition on Android is an incredibly well executed and secure system--at least according to my real-world testing.

How good is facial recognition software?

In December 2019, the National Institute of Standards and Technology (NIST) issued a report on FRT. According to their research, facial recognition algorithms showed better results across demographic groups, spotting “undetectable” characteristics of their representatives.

How do you fight facial recognition?

Create asymmetry. Facial recognition algorithms are programmed to look for symmetry between the left and right sides of the face. Decrease your chances of detection by creating asymmetry, like covering your left eye with a feather or a piece of styled hair. Use tonal inverse.

What are the two most significant drivers for facial recognition growth?

Face recognition markets

The two most significant drivers of this growth are surveillance in the public sector and numerous other applications in diverse market segments.

Is facial recognition an invasion of privacy?

Facial recognition technology can be an invasion of privacy and the government needs to implements rules to ensure it is properly used.

How facial recognition software Recognises points on a person's face?

Face recognition systems use computer algorithms to pick out specific, distinctive details about a person's face. These details, such as distance between the eyes or shape of the chin, are then converted into a mathematical representation and compared to data on other faces collected in a face recognition database.