Samsung signs MoU for 5G Network collaboration in Japan
In an announcement made by Samsung and Kyocera Communication Systems the two organisations have signed a memorandum of understanding (MoU) to accelerate private 5G network collaboration and expansion in Japan, bringing greater intelligence to organisations.
The MoU marks the first collaborative project between the two companies, which will see the organisations implement a private network in Japan based manufacturing facilities, transforming them into smart factories.
The two companies aim to drive the full potential of private 5G networks by creating new value for enterprises, as well as opening up new business opportunities via next generation cellular technology.
As part of the partnership, Samsung will provide its end-to-end 5G solutions, while Kyocera Communication Systems will provide mobile devices, applications and technical support for enterprise deployment and operations.
“Samsung’s private 5G network portfolio is designed to fit in any deployment scenario for various business purposes and we are excited to work with KCCS as we expand our 5G capabilities in Japan. In collaboration with KCCS, we expect to prove how 5G can transform businesses and experiences at every level through real-world use cases,” commented Satoshi Iwao, Vice President and Head of Network Division at Samsung Electronics Japan.
“As we continue to expand our presence in the Information and Communication Technology industry and exhibit our pioneering spirit, we are looking forward to a successful collaboration with Samsung. Leveraging our leadership in innovation and Samsung’s next-generation 5G technologies, we hope to successfully integrate 5G to our industrial operations and validate its full potential,” added Kenichi Kurosaki, Director and General Manager of Telecommunications Engineering Division at Kyocera Communication Systems
Chinese Firm Taigusys Launches Emotion-Recognition System
In a detailed investigative report, the Guardian reported that Chinese tech company Taigusys can now monitor facial expressions. The company claims that it can track fake smiles, chart genuine emotions, and help police curtail security threats. ‘Ordinary people here in China aren’t happy about this technology, but they have no choice. If the police say there have to be cameras in a community, people will just have to live with it’, said Chen Wei, company founder and chairman. ‘There’s always that demand, and we’re here to fulfil it’.
Who Will Use the Data?
As of right now, the emotion-recognition market is supposed to be worth US$36bn by 2023—which hints at rapid global adoption. Taigusys counts Huawei, China Mobile, China Unicom, and PetroChina among its 36 clients, but none of them has yet revealed if they’ve purchased the new AI. In addition, Taigusys will likely implement the technology in Chinese prisons, schools, and nursing homes.
It’s not likely that emotion-recognition AI will stay within the realm of private enterprise. President Xi Jinping has promoted ‘positive energy’ among citizens and intimated that negative expressions are no good for a healthy society. If the Chinese central government continues to gain control over private companies’ tech data, national officials could use emotional data for ideological purposes—and target ‘unhappy’ or ‘suspicious’ citizens.
How Does It Work?
Taigusys’s AI will track facial muscle movements, body motions, and other biometric data to infer how a person is feeling, collecting massive amounts of personal data for machine learning purposes. If an individual displays too much negative emotion, the platform can recommend him or her for what’s termed ‘emotional support’—and what may end up being much worse.
Can We Really Detect Human Emotions?
This is still up for debate, but many critics say no. Psychologists still debate whether human emotions can be separated into basic emotions such as fear, joy, and surprise across cultures or whether something more complex is at stake. Many claim that AI emotion-reading technology is not only unethical but inaccurate since facial expressions don’t necessarily indicate someone’s true emotional state.
In addition, Taigusys’s facial tracking system could promote racial bias. One of the company’s systems classes faces as ‘yellow, white, or black’; another distinguishes between Uyghur and Han Chinese; and sometimes, the technology picks up certain ethnic features better than others.
Is China the Only One?
Not a chance. Other countries have also tried to decode and use emotions. In 2007, the U.S. Transportation Security Administration (TSA) launched a heavily contested training programme (SPOT) that taught airport personnel to monitor passengers for signs of stress, deception, and fear. But China as a nation rarely discusses bias, and as a result, its AI-based discrimination could be more dangerous.
‘That Chinese conceptions of race are going to be built into technology and exported to other parts of the world is troubling, particularly since there isn’t the kind of critical discourse [about racism and ethnicity in China] that we’re having in the United States’, said Shazeda Ahmed, an AI researcher at New York University (NYU).
Taigusys’s founder points out, on the other hand, that its system can help prevent tragic violence, citing a 2020 stabbing of 41 people in Guangxi Province. Yet top academics remain unconvinced. As Sandra Wachter, associate professor and senior research fellow at the University of Oxford’s Internet Institute, said: ‘[If this continues], we will see a clash with fundamental human rights, such as free expression and the right to privacy’.