Key Ethics And Solutions of Facial Recognition Technology

Facial recognition technology is considered as one of the fascinating technological marvels. Rightly so, it can recognize a human face from a photo, video, or in real time. Facial recognition system have come a long way from their inception to adoption in law and widespread use in consumer devices.

Given the many controversies, such as identity fraud, biometry security and privacy invasion concerns, people are greeted with a million-dollar questions. Doesfacial recognition system need an ethical reckoning to make it more impactful? Below, we examine each and every one of these ethic issues in details.

Racial bias to testing inaccuracies

Racial bias remains one of the facial recognition system in Singaporekey concerns. Althoughfacial algorithms ensure classifications accuracy of over 90%, these results are not universal. Worrying developments that challenge the ethics of facial recognition have emerged time and time again in the recent past. More than half of adults have photos on law enforcements facial recognition network.

However, it’s disturbing that errors detected in the Singapore facial recognition systemswere mostly common on dark-skinned faces. But fewer errors when matching light-skinned faces. In past few year, an independent assessment was conducted to confirm the results. It reported that new tech involving facial recognitiontechnologies for numerous algorithms shows racial bias toward women of colour.


Privacy is one of the general public concerns, mainly due to lack of transparency in how information is stored and managed. Facial recognition infringes on citizens inherent right to be under constant government surveillance and keep their images without consent. Concerns about privacy around facialrecognitionrelate to unsecured data storage practices that could expose facial recognition data and other security threats.

Most popular organizations continue to host their facial data on local servers, leading to security vulnerabilities and a lack of IT security professionals. These facilities can ensure maximum data security when hosted on the cloud. However, data integrity can only be ensured through proper encryption even when it comes to hospitals in Singapore using patient ID system.


The main problems and failures of facial recognition technology stem from lack of advancement, diversify in datasets, andinefficient system handling. But adopting some ethical principles can avoiding making it invasive. Eliminate impartiality in facial recognition to prevent or minimize bias by fixing glitches in law enforcement.

Facial recognition has infinite potential form various applications in real-world needs and one of them is to authenticate hospital visitors. However, addressing these technology’s ethical issues is vital to make it a boon to the current way of living.

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