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Singapore’s Deputy Prime Minister Lawrence Wong delivers a speech at the launch of the National AI Strategy 2.0 on December 4. Photo: EPA-EFE

Singapore’s new AI strategy to provide much-needed framework for Asia’s fight against cyber scams

  • The National Artificial Intelligence Strategy 2.0 will triple the pool of AI expert pool, and serve as a model for other countries, experts say
  • Having a deep pool of AI expertise in such a framework will be key to combating the rise of bad actors using AI for power and profit, they add
Singapore
Singapore’s recently announced National Artificial Intelligence Strategy (NAIS) 2.0, including a tripling of its AI expert pool, could provide a much-needed framework for Asia in its collective fight against the growing menace of cyber scams, analysts say.
Singapore is uniquely positioned to play a key role here. With the launch of the Model AI Governance Framework in 2019 and AI Verify in 2022, it has positioned itself as a practical and pragmatic partner in the AI ecosystem,” said Simon Chesterman, a professor at the National University of Singapore who is helping to lead a new research project on digital information resilience.

Singapore’s AI Governance Framework is built around principles including transparency, explainability, safety, security, accountability, human agency and oversight. AI Verify is a testing framework for those governance principles.

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Experts say the establishment of such a framework is necessary to ensure that the development of AI technology, which can evolve in rapid and unpredictable ways, is done in a way that prioritises safety and security.

“When it comes to increasing the AI workforce, it’s the right thing to do: first you set up the governance mechanism, then you start to grow – to triple the pool of AI practitioners, as is the plan, for example,” said Öykü Işık, Professor of Digital Strategy and Cybersecurity from IMD Business School in Switzerland.

“The result is a legal framework that is situation-agnostic and can certainly serve as a model for other countries, in the region and beyond,” he said.

Under its AI strategy, Singapore has also pledged to increase government incentives for the sector, including by backing accelerator programmes for AI start-ups and encouraging companies to set up AI “centres of excellence”.

Having a deep pool of AI expertise working within a carefully constructed governance framework will be essential in combating the rise of bad actors who will utilise AI technologies indiscriminately for power and profit, analysts say.

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Already, the launch of AI-based tools has multiplied the number of cyberattacks in Asia, according to KPS Sandhu, head of global strategic initiatives at the Tata Consultancy Services cybersecurity practice.

“Asia has been in the crosshairs of attackers primarily because I think they’re rapidly evolving digital economies and technology is coming up and proliferating quite fast as a result,” he said.

Phishing kits – one of the main tools for cyberattackers – are now being offered for as little as US$10 on the dark web, Sandhu added, referring to a subset of the internet that is not visible to search engines and requires the use of an anonymising browser.

Even Singapore is vulnerable. Despite its status as one of Asia’s premier tech hubs, nearly half of small businesses in Singapore believe they are vulnerable to cyberattacks, according to an annual Asia-Pacific Small Business Survey.

In addition to better governance, organisations needed to equip themselves with better technologies, Sandhu said. “You need to fight fire with fire.”

International cooperation to fight cybercrimes and share learning experiences also needed to be forged, though such efforts had already improved, he added.

Singapore’s AI strategy does not contain strict guidelines relating to the use of AI in phishing attacks, but the government is likely aware of the relevant risks, experts say. Photo: Shutterstock

Fighting phishing

The need for better ways to combat such crimes has become increasingly apparent due to the growing number of cyber-scamming syndicates operating across Asia.

On December 8, Britain announced sanctions on actors in Cambodia, Myanmar and Laos for coordinating a multi-country scam operation. The nine people and five entities were sanctioned for “links to forced labour schemes” and trafficking people into “online scam farms”.

The UK’s sanctions were the first to globally target people and companies tied to so-called “pig butchering” scam compounds in which victims, lured by offers of high-paying jobs, are instead forced, under threat of violence and torture, to defraud people online.

Such operations have taken roots in recent years in Cambodia, Myanmar and Laos, where they flourish amid endemic corruption and weak law enforcement, spreading their tentacles to other countries in the region as well.

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While Singapore’s AI strategy did not contain strict guidelines relating to the use of AI in phishing attacks, the government was likely “aware of the risks of bad actors using AI such as AI-powered phishing attacks”, said Nicholas Lauw, partner at RPC Premier Law.

“The fact that NAIS specifically states that AI should be used responsibly means that it should not be seen as a blank cheque that bad actors can … use AI for criminal means,” he said.

Some countries in the Asia-Pacific region could use Singapore’s governance as a benchmark, Lauw added.

Other industry executives said Singapore should provide assistance to other countries as cyber criminals become increasingly sophisticated.

“We were able to detect a phishing email before just by the poor construction of the email, but these days, it’s so perfectly crafted,” said Vince Chew, chief operating officer and chief information security officer of Evvo Labs.

Singapore’s government should encourage enterprises and institutions to share intelligence to facilitate the creation of regional standards for ethical use of AI, says Vince Chew of Evvo Labs. Photo: Shutterstock

Zeroing in on the cause – human error – is winning half the battle, experts say.

“Singapore’s government should encourage enterprises and institutions to share intelligence. The collaboration between financial institutions and telcos, as proposed in the Shared Responsibility Framework, can facilitate the sharing of AI and machine learning technologies to identify and block sophisticated phishing attempts,” Chew said.

That would help facilitate the creation of regional standards for AI’s ethical use, transparency, and effectiveness in detecting and mitigating phishing attacks, he added.

Teamwork could work well in the region, with each country bringing its “own unique tech and cyber issues”, he said.

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