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Banks and tech companies at odds over online fraud liability in UK

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Meta is facing calls from U.K. banks and payment firms like Revolut to financially compensate people who fall for scams on their services.

Jaap Arriens | Nurphoto via Getty Images

Tensions are escalating between banking and payment companies and social media firms in the U.K. over who should be liable for compensating people if they fall victim to fraud schemes online.

Starting from Oct. 7, banks will be required to start compensating victims of so-called authorized push payment (APP) fraud a maximum £85,000 if those individuals affected were tricked or psychologically manipulated into handing over the cash.

APP fraud is a form of a scam where criminals attempt to convince people to send them money by impersonating individuals or businesses selling a service.

The £85,000 reimbursement sum could prove costly for large banks and payment firms. However, it’s actually lower than the mandatory £415,000 reimbursement amount that the U.K.’s Payment Systems Regulator (PSR) had previously proposed.

The PSR backed down from its bid for the lofty maximum compensation payout following industry backlash, with industry group the Payments Association in particular saying it would be far too costly a sum tor the financial services sector to bear.

But now that the mandatory fraud compensation is being rolled out in the U.K., questions are being asked about whether financial firms are facing the brunt of the cost for helping fraud victims.

On Thursday, London-based digital bank Revolut accused Meta of falling “woefully short of what’s required to tackle fraud globally.” The Facebook-owner announced a partnership earlier this week with U.K. lenders NatWest and Metro Bank, to share intelligence on fraud activity that takes place on its platforms.

Woody Malouf, Revolut’s head of financial crime, said that Meta and other social media platforms should help cover the cost of reimbursing victims of fraud and that, by sharing no responsibility in doing so, “they have no incentive to do anything about it.”

Revolut’s call for large tech platforms to financially compensate people who fall for scams on their websites and apps isn’t new.

Proposals to make tech firms liable

Tensions have been running high between banks and tech companies for some time. Online fraud has risen dramatically over the last several years due to an acceleration in the usage of digital platforms to pay others and buy products online.

In June, the Financial Times reported that the Labour Party had drafted proposals to force technology firms to reimburse victims of fraud that originates on their platforms. It is not clear whether the government still plans to require tech firms to pay compensation out to victims of APP fraud.

A government spokesperson was not immediately available for comment when contacted by CNBC.

Matt Akroyd, a commercial litigation lawyer at Stewarts, told CNBC that, after their victory on lowering the maximum reimbursement limit for APP fraud down to £85,000, banks “will receive another boost if their efforts to push the government to place some regulatory liability on tech companies is also successful.”

However, he added: “The question of what regulatory regime could cover those companies who do not play an active role in the PSR’s payment systems, and how, is complicated meaning that this issue is not likely to be resolved any time soon.”

More broadly, banks and regulators have long been pushing social media companies for more collaboration with retail banks in the U.K. to help combat the fast-growing and constantly evolving fraud threat. A key ask has been for the tech firms to share more detailed intelligence on how criminals are abusing their platforms.

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At a U.K. finance industry event focusing on economic fraud in March 2023, regulators and law enforcement stressed the need for social media companies to do more.

“We hear anecdotally today from all of the firms that we talk to, that a large proportion of this fraud originates from social media platforms,” Kate Fitzgerald, head of policy at the PSR, told attendees of the event.

She added that “absolute transparency” was needed on where the fraud was occurring so that regulators could know where to focus their efforts in the value chain.

Social media firms not doing enough to combat and remove attempts to defraud internet users was another complaint from regulatory authorities at the event.

“The bit that’s missing is the at-scale social media companies taking down suspect accounts that are involved in fraud,” Rob Jones, director general of the National Economic Crime Centre, a unit of the U.K. National Crime Agency, said at the event.

Jones added that it was tough to “break the inertia” at tech companies to “really get them to get after it.”

Tech firms push ‘cross-industry collaboration’

Meta has pushed back on suggestions that it should be held liable for paying out compensation to victims of APP fraud.

In written evidence to a parliamentary committee last year, the social media giant said that banks in the U.K. are “too focused on their efforts to transfer liability for fraud to other industries,” adding that this “creates a hostile environment which plays into the hands of fraudsters.”

The company said that it can use live intelligence from big banks through its Fraud Intelligence Reciprocal Exchange (FIRE) initiative to help stop fraud and evolve and improve its machine learning and AI detection systems. Meta called on the government to “encourage more cross-industry collaboration like this.”

In a statement to CNBC Thursday, the tech giant stressed that banks, including Revolut, should look to join forces with Meta on its FIRE framework to facilitate data exchanges between the firm and large lenders.

FIRE “is designed to enable banks to share information so we can work together to protect people using our respective services,” a spokesperson for Meta said last week. “Fraud is a multi-sector spanning issue that can only be addressed by working collaboratively.”

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Morgan Stanley (MS) earnings Q3 2024

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Ted Pick, CEO Morgan Stanley, speaking on CNBC’s Squawk Box at the World Economic Forum Annual Meeting in Davos, Switzerland on Jan. 18th, 2024.

Adam Galici | CNBC

Morgan Stanley topped analysts’ estimates for third quarter profit as its wealth management, trading and investment banking operations generated more revenue than expected.

Here’s what the company reported:

  • Earnings:$1.88 a share vs $1.58 LSEG estimate
  • Revenue: $15.38 billion vs. $14.41 billion estimate

Morgan Stanley had several tailwinds in its favor. The bank’s massive wealth management business was helped by high stock market values in the quarter, which inflates the management fees the bank collects.

Investment banking has rebounded after a dismal 2023, a trend that may continue as easing rates will encourage more financing and merger activity.

Finally, its Wall Street rivals have posted better-than-expected trading results, making it unlikely that the firm missed out on elevated activity.

JPMorgan Chase, Goldman Sachs and Citigroup topped expectations, helped by better-than-expected revenue from trading or investment banking.

This story is developing. Please check back for updates.

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China’s Alibaba claims AI translation tool beats Google, ChatGPT

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Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.

Nurphoto | Nurphoto | Getty Images

BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.

That’s based on an assessment of Alibaba International’s new model, Marco MT, by translation benchmark framework Flores, the Chinese company said.

Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.

The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.

“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.

Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.

Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.

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Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.

When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.

Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.

Contextual clues

Since Alibaba launched the first version of its AI translation tool last fall, the company said merchants have used it for more than 100 million product listings. Similar to other AI-based services, the basic pricing charges merchants by the amount of translated text.

Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.

His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.

“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.

Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.

That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.

The Taobao app is also popular with consumers in Singapore. In September, the app launched an AI-powered English version for users in the country.

Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.

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