Jan 6, 2021

HSBC enlists Silent Eight AI to fight financial cybercrime

AI
Cybercrime
Paddy Smith
2 min
HSBC  Silent Eight
Silent Eight announces multi-year deal with HSBC to support the bank in fighting financial cybercrime using AI tools...

HSBC has inked a multi-year partnership with AI company Silent Eight to improve its financial crime fighting efforts.

The bank was looking for a partner that could build on its existing statistical models and manual processes in a bid to decrease risk and increase efficiency.

Silent Eight claims its Alert Resolution tool can investigate and resolve cases in the same way an analyst would, but with greater speed, precision and consistency. After running a trial of the AI software, HSBC has decided to integrate Alert Resolution into its existing infrastructure.

Global volatility

HSB group head of compliance services Matt Brown said, “Given the growth in alert volumes, and unpredictable spikes driven by global volatility, we saw an opportunity with Silent Eight that would give us the ability to close alerts quickly and accurately.”

Silent Eight CEO and co-founder Martin Markiewicz said, “We're delighted to find a partner that shares our focus on eliminating financial crime. HSBC's dedication to this project is just one aspect of their tireless commitment to improvement, and to helping drive AI innovation across the industry. We're proud to partner with them on their mission to make the world safer.”

Ben Rayner, HSBC's global head of AML and sanctions screening, said, “Silent Eight's business case was extremely compelling. We have chosen their solution as we believe it will provide significant business benefits across all our success metrics.”

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Jun 17, 2021

Chinese Firm Taigusys Launches Emotion-Recognition System

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

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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