Hwang Young-gyu, CEO of Alchera: “Resolving the chance of facial recognition with decentralized identity verification technology”

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(Photo = Alchera)

“Decentralized identity technology can solve the issue of facial recognition technology being banned by the European Union (EU).”

Hwang Young-gyu, CEO of Alchera, said that the ‘decentralized identity verification’ technology, which will probably be commercialized starting next 12 months, can prevent the misuse of private biometric information.

Decentralized identity verification technology is a technique during which users directly manage their very own biometric information using their mobile phones. It’s currently under development with Ghostpass, a decentralized biometric authentication solution company. Alchera’s on-device AI facial recognition technology will probably be used here.

Facial recognition technology has long been viewed as a privacy-invading technology. Specifically, based on the EU’s AI law that got here into effect on the first, facial recognition using CCTV is totally banned in Europe.

CEO Hwang Young-gyu identified that these problems are resulting from concerns in regards to the misuse of private biometric information that may occur in public places, violations of freedom, and racial and gender discrimination resulting from misrecognition. He also analyzed that “the largest cause is that the information utilization organization collects, stores, and analyzes data without the owner’s consent.”

Subsequently, he explained, “The secret’s to create a structure that enables individuals to administer and supervise personal information.”

Decentralized identity verification allows individuals to store and manage personal data, consent to make use of it, and make authentication decisions on their mobile devices. It also allows for real-time personal information management and prevents information abuse.

This technology is currently in development and usefulness is being improved.

It is predicted to be commercialized in the primary half of next 12 months and will probably be used for facial recognition payments, access control, and work attendance management. It plans to conduct proof-of-concept (PoC) with various firms by the tip of this 12 months and expand its use.

He emphasized that it isn’t only highly accurate, but in addition superior when it comes to cost.

“Existing technology searches for details about who an individual is from the biometric data of lots of or tens of hundreds of thousands of individuals stored on servers,” said CEO Hwang. “Nevertheless, decentralized technology only determines whether the person is the owner or not from the owner’s cell phone.”

“We will improve the accuracy of AI in order that misrecognition doesn’t occur,” he said. “Since biometric information is stored and managed on personal mobile phones, we will reduce server costs in addition to ensure security.”

Hwang Young-gyu, CEO of Alchera (Photo = Alchera)
Hwang Young-gyu, CEO of Alchera (Photo = Alchera)

Specifically, he said that it will probably solve the issue of ‘data sovereignty’, which is an inevitable issue in AI governance, by allowing individuals, who’re the themes of knowledge, to administer and supervise in real time.

In actual fact, the problem of information sovereignty was also discussed on the ‘AI Basic Law Enactment Direction and Prospects National Assembly Seminar’ held on the National Assembly on the thirty first of last month. BHSN CEO Lim Jeong-geun said, “There ought to be a principle that data can’t be acquired without the consent of the data subject.”

Representative Hwang also expressed his opinion on the direction of the domestic AI basic law.

“The explanation facial recognition has turn into a hot topic in EU AI law is because usability, price, and accuracy have improved significantly,” he said. “It’s natural that regulations are being strengthened accordingly.” Subsequently, he said, “It is usually urgent to ascertain a domestic legal system to strengthen the protection of people’ biometric information.”

As well as, the direction of domestic AI law enactment was listed as ▲clear and specific standards ▲establishment of procedures ▲continuous management and supervision.

He said, “As regulatory ambiguity and resulting uncertainty increase, market growth is hindered,” and “Reducing uncertainty may have a positive effect on market expansion and even technological advancement.”

Reporter Park Soo-bin sbin08@aitimes.com

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