How China Influences US AI Policy in Singapore

Hello and welcome to Protocol Enterprise! Today: how the US and Singapore are developing AI policy with China in mind, Google is building a house by the lake, and Boeing is bolstering its multicloud plans.

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The White House reaffirmed its mission to increase AI collaboration between the United States and Singapore last week. But during these talks, another country was on everyone’s mind: China.

When President Joe Biden hosted Singapore Prime Minister Lee Hsien Loong on March 29, he recognized the bilateral strategic partnership between the two nations – and the 5,400 American companies based in Singapore. On the sidelines, officials from the US Department of Commerce met with officials in Singapore to expand the countries’ economic efforts related to trusted AI, data privacy, digital business standards and advanced manufacturing.

  • These efforts build on a previous memorandum of understanding, called the United States-Singapore Partnership for Growth and Innovation, which the two countries signed in October.
  • Alex Capri, a researcher and consultant studying trade flows and competition in technological innovation who taught at the National University of Singapore Business School, said the expanded plan was part of a much broader US strategy aimed at China.
  • The partnership is designed to rebalance and re-engage Asian countries, including smaller tech powerhouses such as Singapore – “absolutely with the intention of reducing reliance on China for AI development, and also in because of the strategic implications,” Capri said. “Singapore is a logical choice as a technology hub.”

The drumbeat in the United States to slow down China’s mission to dominate AI is growing stronger.

  • Not only are tech industry leaders such as former Google CEO and AI investor Eric Schmidt increasing the anti-China volume in political and advocacy circles, lawmakers have also called on the Commerce Department to further restrict the export of AI and other American technologies to companies with ties to the Chinese military.
  • One of the main goals of the expanded U.S.-Singapore compact is a plan to develop approaches to ethical AI governance that facilitate interoperable cross-border connections.
  • “A practical example of our digital cooperation relates to the alignment of our respective AI governance frameworks,” said Josephine Teo, Singapore’s Minister of Communications and Information. “Companies can expect to more easily deploy AI across borders, seize opportunities for innovation while managing risk.”

In their agreement to expand their partnership, the United States and Singapore also announced plans for more collaboration on technological standards and advanced manufacturing. These efforts reflect both countries’ goals to foster interoperability and connectivity of data and technologies related to digital commerce, Capri said.

  • What all this means concretely, from a geopolitical or technical point of view, is not yet clear.
  • But the general sentiment behind official statements reflecting last week’s meetings indicates that countries are aiming to streamline open data and technology supply chain flows.
  • “The United States and Singapore affirm the importance of ensuring that critical and emerging technologies foster an open, accessible, and secure technology ecosystem based on mutual trust, trust, and respect for an international order based on rules,” Biden and Hsien Loong said. in a joint statement.
  • A Commerce Department spokesperson told Protocol that the United States and Singapore will compare Singapore’s minimum viable product testing framework for AI with a risk management framework being developed by the Institute. American National Standards and Technology to determine how the two might align.

While the United States has no laws or general regulatory regime to address the governance of AI or use of related data, Singapore created its Model AI Governance Framework for Ethical Approaches to AI in 2019, which addresses explainability, fairness and necessity for the IA to be “human-centric”.

  • China itself has started to implement its own rules limiting the use of algorithmic recommendation systems.
  • However, the country’s efforts to develop – and in some ways, control – enterprise AI and other emerging technologies have Western governments worried about its use of facial recognition, algorithmic social scoring, breaches blatant violations of human rights and the increased potential for AI-powered artificial intelligence. military dominance.
  • Broadly speaking, with a focus on collaborative AI governance and data frameworks, the US and Singapore were speaking what Capri called “a coded language for training around ideological values.”

Essentially, although China has strict data controls in place requiring companies operating there to locate data and share data decryption keys, the United States and Singapore reiterated their commitment to a more open approach to the use of data by liberal democracies and technological interoperability.

  • In the US-Singaporean relationship, that kind of scrutiny wouldn’t apply, Capri said.

-Kate Kaye (E-mail | Twitter)


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A house by the lake

Google Cloud plans to launch a new data lake storage engine based on its popular BigQuery data warehouse to help break down barriers preventing customers from unlocking the full value of their ever-growing data.

BigLake, now available in preview, enables enterprises to unify their data warehouses and data lakes to analyze data without worrying about format or underlying storage systems, according to Sudhir Hasbe, senior director of management of Google Cloud products for data analysis.

“The biggest advantage then is that you don’t have to duplicate your data in two different environments and create data silos,” Hasbe said during a press briefing ahead of Wednesday’s Google Data Cloud Summit, where BigLake has been announced.

With BigLake, Google Cloud extends the capabilities of its 11-year-old BigQuery to data lakes on Google Cloud Storage to enable flexible and open Lakehouse architecture, according to the cloud provider. A data lakehouse is an open data management architecture that combines data warehouse-like data management and optimization functions, including business intelligence, machine learning, and governance, for data lakes that generally provide more cost effective storage.

“When you think about unlimited data, it’s time to end the artificial separation between managed warehouses and data lakes,” said Gerrit Kazmaier, Google Cloud vice president and general manager for databases, l analysis and Looker. “Google does it in a unique way.”

— Donna Goodison (E-mail | Twitter)

Cloud Traffic Control

As the debate continues over whether or not to use multiple cloud infrastructure providers, Boeing is already at cruising altitude. The aircraft manufacturer announced Wednesday that it has signed new cloud agreements that build on existing relationships with each member of the Big Three: AWS, Microsoft and Google.

But while Boeing picks and chooses what it needs from the top three U.S. cloud providers, “most Boeing applications are now hosted and maintained via on-premises servers, operated by Boeing or external partners,” a- he said in his press release. That’s probably common among companies the age and size of Boeing, and it means there’s probably a long way to go for every cloud provider to win new business.

—Tom Krazit (E-mail | Twitter)

Around the company

Google has launched a new alliance between several database and analytics companies including Databricks, Confluent, and MongoDB to “make data more portable and accessible,” though without AWS, Microsoft, and Snowflake it looks like another alliance disguised as a competitive marketing message.

Intel has closed all of its operations in Russia weeks after halting shipments to the country amid US sanctions against chipmakers supplying the Russian economy.

US government says it removed malware from compromised network devices used by a botnet group operated by the Russian military to launch DDoS attacks against targets.

Security researchers have discovered what is believed to be the first malware written specifically for AWS’s Lambda serverless computing service, designed for – what else, in 2022 – cryptocurrency mining.


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