Singapore Patrol Robots Stoke Fears of Surveillance State

During a three-week trial in September, two robots were deployed to patrol a Singapore housing estate and shopping center. Roslan RAHMAN AFP
During a three-week trial in September, two robots were deployed to patrol a Singapore housing estate and shopping center. Roslan RAHMAN AFP
TT

Singapore Patrol Robots Stoke Fears of Surveillance State

During a three-week trial in September, two robots were deployed to patrol a Singapore housing estate and shopping center. Roslan RAHMAN AFP
During a three-week trial in September, two robots were deployed to patrol a Singapore housing estate and shopping center. Roslan RAHMAN AFP

Singapore has trialed patrol robots that blast warnings at people engaging in "undesirable social behavior", adding to an arsenal of surveillance technology in the tightly controlled city-state that is fueling privacy concerns.

From vast numbers of CCTV cameras to trials of lampposts kitted out with facial recognition tech, Singapore is seeing an explosion of tools to track its inhabitants.

Officials have long pushed a vision of a hyper-efficient, tech-driven "smart nation", but activists say privacy is being sacrificed and people have little control over what happens to their data.

Singapore is frequently criticized for curbing civil liberties and people are accustomed to tight controls, but there is still growing unease at intrusive tech.

The government's latest surveillance devices are robots on wheels, with seven cameras, that issue warnings to the public and detect "undesirable social behavior".

This includes smoking in prohibited areas, improperly parking bicycles, and breaching coronavirus social-distancing rules.

During a recent patrol, one of the "Xavier" robots wove its way through a housing estate and stopped in front of a group of elderly residents watching a chess match.

"Please keep one-meter distancing, please keep to five persons per group," a robotic voice blared out, as a camera on top of the machine trained its gaze on them.

During a three-week trial in September, two robots were deployed to patrol the housing estate and a shopping center.

"It reminds me of Robocop," said Frannie Teo, a 34-year-old research assistant, who was walking through the mall.

It brings to mind a "dystopian world of robots... I'm just a bit hesitant about that kind of concept", she added.

- 'No constraints' -
Digital rights activist Lee Yi Ting said the devices were the latest way Singaporeans were being watched.

"It all contributes to the sense people... need to watch what they say and what they do in Singapore to a far greater extent than they would in other countries," she told AFP.

But the government defended its use of robots, saying they were not being used to identify or take action against offenders during the tech's trial, and were needed to address a labor crunch as the population ages.

"The workforce is actually shrinking," said Ong Ka Hing, from the government agency that developed the Xavier robots, adding they could help reduce the number of officers needed for foot patrols.

The island of about 5.5 million people has 90,000 police cameras, a number set to double by 2030, and facial recognition tech -- which helps authorities pick out faces in a crowd -- may be installed on lampposts across the city.

There was a rare public backlash this year when authorities admitted coronavirus contract-tracing data collected by an official system had been accessed by police. The government later passed legislation to limit its use.

But critics say the city-state's laws generally put few limitations on government surveillance, and Singaporeans have little control over what happens to the data collected.

"There are no privacy law constraints on what the government can or cannot do," said Indulekshmi Rajeswari, a privacy lawyer from Singapore who is now based in Germany.



Microsoft to Invest $3 Bln to Expand AI, Cloud Capacity in India

26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
TT

Microsoft to Invest $3 Bln to Expand AI, Cloud Capacity in India

26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)
26 March 2021, Bavaria, Munich: The Microsoft logo hangs on the facade of an office building in Parkstadt Schwabing in the north of the Bavarian capital. (dpa)

Microsoft will invest about $3 billion to expand capacity for artificial intelligence and its Azure cloud-computing services in India, CEO Satya Nadella said on Tuesday.

The tech giant is the latest to pledge investment in India, a country seen as a key growth market for US technology companies thanks to its population of more than 1.4 billion people and low-cost internet access.

Executives ranging from Nvidia chief Jensen Huang to Meta's chief AI scientist Yann LeCun have visited India in recent months.

The $3 billion investment in India would be the "single largest expansion" done in the country, Nadella said at a conference in the southern Indian city of Bengaluru.

Microsoft will also train 10 million people in AI in India by 2030, Nadella said.

When Nadella visited India early last year, he announced the company will provide 2 million people in the country with AI skilling opportunities by 2025, focused on training individuals in smaller cities as well as rural areas.

Nadella met Indian Prime Minister Narendra Modi on Monday, and the pair discussed "tech, innovation and AI" and "Microsoft's ambitious expansion and investment plans in India."

Microsoft has been pouring billions of dollars into expanding capacity across the globe to boost AI infrastructure and its data-center network.

The company last week unveiled plans to invest about $80 billion in fiscal 2025.

The investment, more than half of which will be in the United States, will focus on developing data centers to train AI models and deploy AI and cloud-based applications.