Microsoft Releases Ethical Principles Aiming to Bar Exploitation of Facial Recognition Tech

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Microsoft_Releases_Ethical_Principles_Aiming_to_Bar_Exploitation_of_Facial_Recognition_Tech Microsoft Releases Ethical Principles Aiming to Bar Exploitation of Facial Recognition TechTech Firm Microsoft Corp., earlier this month, announced ethical principles for the utilization of its facial recognition technology.  The company said that it would prevent such technology from being utilized to engage in illegitimate discrimination and would support clients to be translucent when applying such services.

In a statement, President of Microsoft Brad Smith pushed for exigency in regulating facial recognition, while adding that technology organizations must self regulate too. He also noted that he believes it is imperative for governments in the year 2019 to initiate adopting laws to regulate this tech.  Recognizing faces has become a widespread feature in consumer products including Apple’s iPhone, with Inc and Google offering recognition services as well. But questions have been raised over the utilization of such technology. U.S. civil liberties groups in May called on Amazon to stop providing facial recognition services to government entities, with a warning that the software could be utilized to target immigrants and discriminate people of color unfairly. Microsoft said in the statement that it will document and communicate the capabilities of the technology, with forbidding the utilization of facial recognition technology to engage in illegitimate discrimination. The other principles listed were fairness, responsibility, notice and consent, and legitimate surveillance.

The tech giant has not assured to prohibit the sale of face recognition technology to law enforcement that is what the American Civil Liberties Union has asked for. Though, Microsoft expressed that it would formally release these principles, alongside supporting framework, before the end of March 2019, but did not specify how it would execute its new principles.