Biometrics:

• There is global consensus that the police charter need to focus equally on crime prevention and detection.

• The use of facial identification software will help the police on this focus but it is facing many challenges.

About dismaying paradox:

• Citizens want newer crime control measures to keep them safe.

• At the same time, they resent smarter police innovations in the field because of perceived danger to individual rights and privacy.

• Surprisingly, the campaign against police experiments has a stand that the end should not justify the means used by state agencies.

• Although only by a few groups, this explains the sharp adverse responses to a counter-crime facial recognition technology.

• This technology seeks to make inroads into the underworld’s ability to escape the police detection.

Why the police use this technology?

• Despite robust and aggressive policing, most of the police forces including the Indian police have been guilty of underperformance.

• The criminals merge with the community to escape identification.

• So, the police in many countries have sought the help of expert security agencies to scan faces seen in public spaces.

• This is with a view to run them against available databases of faces used in crime fighting.

• The resistance especially in the United States and the United Kingdom, against facial recognition software, has been baffling.

• Its modest use in India explains the lack of public discourse on the pros and cons of facial identification software.

Criticisms:

• There are people who believe that this facial recognition technology discriminates against minorities and ethnic groups.

• This is an incomprehensible charge because the cameras take pictures at random rather than of specific segments of the population.

• The next opposition was from activists who focus on privacy violation.

• Criticism is mainly on the ground that recognition technology has many a time been found guilty of errors.

• These critics should remember is that our faces are already online in a number of places, for example, through increased use of CCTV cameras.

• When this is the reality, objecting to the police scanning people for the objective of solving a case under investigation is unreasonable.

Key points favouring the use of this technology:

• When there is no match of a face with existing records with the police, these data would be deleted.

• If the matched data is not required for further investigation, they would be deleted within a particular time frame.

• There are many instances in which cases were solved with the help of facial recognition.

Highlights the reveal of U.S. study in 2019:

• Many of the facial recognition algorithms today are likely to misidentify members of some groups more frequently than they do of the others.

• The findings of this study raise doubts about the wisdom of employing facial recognition software indiscriminately.

• The study said that the error rates could perhaps be brought down by using a diverse set of training data.

• It is unclear whether the misidentification is due to bias built into the software. But the danger of misidentification cannot be brushed aside.

Conclusion:

• Ultimately, any modern technology is filled with hidden dangers.

• There is no claim of infallibility either by the software maker or by the person selling it or who advocates its deployment.

• Grave errors from its use are however few and far between.

• The facial recognition plays a vital role in criminal justice administration, just as the DNA testing establishes either the guilt or the innocence of a person arraigned for crime.

• Over the years, there is a marked improvement in the way policemen handle digital evidence.

• The similar care and sophistication will soon mark criminal investigation by police forces across the globe.