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Herbert Chia: Big data can become unsuitable norm and destroy human’s credibility

出自香港新聞網 - 樹仁新傳系學生實習習作

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Reported by Choi Shing Hei, 14th, November 2017


In the last month, the big data of UberEATS shows which building has the longest over time working hours in Hong Kong by analyzing the time and places of ordering. Herbert Chia, who is the Chairman of Data Hub Committee of Smart City Consortium, had a talk in Hong Kong Shue Yan University and claimed that the big data can become norm in the future and affect human’s credibility.


Smart City Consortium is formed by a group of expert from different organizations in order to provide opinion and suggestion in order to make Hong Kong as a smart city, big data is one of the projects inside.


Big data can become unsuitable norm

Chia thinks that if big data become more mature, it will become the norms of different services in the future. In China, the big data of the telecommunications companies share to different bank in China. Chia pointed out that if a person always pays the fee to the telecommunications companies late, the bank will not consider lending money to that person. If the data is wrong, there would be a great affect to the person and he cannot use the services. “People will not know what data will the companies or banks use to evaluate a person and it may lead to discrimination through the big data.” Chia worried.


Big data can be convenient to different organization

Although Chia give out the disadvantage of big data, Chia thinks that big data is interesting and convenient. Chia shares a story about his research in the data of U.S. custom. Chia found out that some companies always import goods at the same time and realized that they are affiliated companies through the research. “Although the research is useless to his company, the bank in U.S. take the result of the research and use it to be one of the consideration of lending money” Chia said. Chia thinks that big data is convenient and find out something people may not know in nowadays.--155105 2017年11月14日 (二) 17:45 (CST)

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