Facial Recognition Technology allows us to open our smartphones without entering a passcode, can identify missing persons, or generate leads in a criminal justice investigation. However, evidence shows that the artificial intelligence computer programs (algorithms) have varying degrees of accuracy depending upon the group. Consistent with psychological studies that show individuals have difficulty recognizing faces of members of an outside group, the facial recognition systems are 10 - 100 times more likely to generate a false positive match (incorrectly identifying an uninvolved person with a person of interest) of minority individuals.

Ethical Dilemma in Science:
Should the use of Facial Recognition Technology be limited until:
The computer algorithms “learn” to be more accurate with faces from diverse populations?
And/or
Society establishes guidelines and laws to guarantee the civil rights and fairness to those identified, and accountability by those using the technology?

What are the limits to the use of the data collected in facial recognition?
- should it be used for training artificial intelligence to be more accurate?
- should it be use to provide more data for identification?

Who has access to the “data” of face collection?
- Risk of data breach
- Sharing between companies or government agencies

Additional Information:
IRS plan to scan your face prompts anger in Congress, confusion among taxpayers. (January 2022). [ Ссылка ]

IRS Unveils new online verification process for accessing self-help tools. (November 2021). [ Ссылка ]

What is Facial Recognition. [ Ссылка ]

Indian Police trace 3,000 missing children in just four days using facial recognition technology. [ Ссылка ]

Facial recognition helps reunite kidnapped toddler with family after 32 years. [ Ссылка ]

This site published every face from Parler's Capitol Riot Videos.
[ Ссылка ]

American Psychological Association (2019) Out-Group Face Recognition. [ Ссылка ]

Study finds gender and skin-type bias in commercial artificial-intelligence systems. [ Ссылка ]

A government study confirms most face recognition systems are racist. [ Ссылка ]

Face Recognition vendor Test, NISTIR 8280 (Dec 2019), [ Ссылка ]

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