May 19, 2020

ANZ teams up with Fitbit and buys property startup in new digital push

ANZ
Fitbit
Australian fintech industry
REALus
Addie Thomes
2 min
ANZ teams up with Fitbit and buys property startup in new digital push

Australia and New Zealand Banking Group (ANZ) has announced an acquisition and partnership with Fitbit as it looks to drive its digital transformation.

ANZ has bought property startup REALas, a technology firm that aims to provide homebuyers more accurate information on properties, including price estimates.

The bank has also announced a partnership with wearable tech giant Fitbit, a move which will allow ANZ customers to pay for goods using a Fitbit Ionic.

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Commenting on the acquisition of REALas, ANZ Managing Director Customer Experience and Digital Channels Peter Dalton said: “This is an important acquisition for our digital transformation as we know customers are increasingly turning to online resources for help as they navigate the Australian property market.”

REALas will continue to operate independently as a wholly-owned subsidiary of ANZ.

The Fitbit partnership represents another important digital step, this having rolled out various mobile payment deals with numerous other companies over the past 18 months. ANZ’s Australian customers will be able to load their eligible Visa debit or credit cards through the Fitbit app so they can make simple and more secure purchases on the go

Commenting on the new partnership, ANZ Managing Director Products Bob Belan said: “ANZ is committed to being at the forefront of new payment experiences so we’re pleased to be offering our customers a convenient way to pay on the go with their Fitbit Ionic.”

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Jun 17, 2021

Chinese Firm Taigusys Launches Emotion-Recognition System

Taigusys
China
huawei
AI
3 min
Critics claim that new AI emotion-recognition platforms like Taigusys could infringe on Chinese citizens’ rights ─ Taigusys disagrees

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’. 

 

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