Australia to Amend Law to Regulate Digital Payments Like Apple, Google Pay 

An illuminated Google logo is seen inside an office building in Zurich, Switzerland December 5, 2018. (Reuters)
An illuminated Google logo is seen inside an office building in Zurich, Switzerland December 5, 2018. (Reuters)
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Australia to Amend Law to Regulate Digital Payments Like Apple, Google Pay 

An illuminated Google logo is seen inside an office building in Zurich, Switzerland December 5, 2018. (Reuters)
An illuminated Google logo is seen inside an office building in Zurich, Switzerland December 5, 2018. (Reuters)

Australia's government said on Monday it would bring Apple Pay, Google Pay and other digital payment services under the same regulatory umbrella as credit cards and other payments as part of legislation set to be introduced to parliament this week.

Digital wallets from the likes of Apple, Google and WeChat developer Tencent have exploded in popularity but are not captured by Australian payments law.

The legislation, first flagged last month, will broaden the legislation that empowers the Reserve Bank of Australia to regulate payments so that it applies to new and emerging technology.

"We are modernizing Australia's payments system to ensure it meets the needs of our economy now and into the future," Treasurer Jim Chalmers said in a statement.

"We want to make sure the increasing use of digital payments occurs in a way that helps promote greater competition, innovation and productivity across our entire economy."

Legislation is set to be introduced on Wednesday or Thursday, according to Chalmers' office.

Regulators are responding to the rapid growth of digital wallets, especially among the young. Transactions from a digital wallet hit 35% of all card transactions in the June quarter, up from 10% in early 2020.

Two-thirds of Australians aged between 18 and 29 use mobile payments. Before the pandemic it was less than 20%.

The amendments will also give a relevant minister power to subject a system or platform to special oversight in the event it presents a risk of "national significance."



Alphabet to Roll out Image Generation of People on Gemini after Pause

A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
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Alphabet to Roll out Image Generation of People on Gemini after Pause

A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)

Alphabet's Google said on Wednesday it has updated Gemini's AI image-creation model and would roll out the generation of visuals of people in the coming days, after months-long pause of the capability.

In February, Google had paused its AI tool that creates images of people, following inaccuracies in some historical depictions generated by the model.

The issues, where the AI model returned historical images which were sometimes inaccurate, drew flak from users.

The company said it has worked to improve the product, adhere to "product principles" and simulated situations to find weaknesses.

The feature will be made available first to paid users of the Gemini AI chatbot, starting in English and later roll out the model to bring more users and languages.

Google said it has improved the Imagen 3 model to create better images of people, but it would not generate images of specific people, children or graphic content.

OpenAI's Dall-E, Microsoft's CoPilot and recently xAI's Grok are among other AI chatbots that can now generate images.

The search engine giant also said over the coming days, subscribers to Gemini Advanced, Business and Enterprise would have access to chatting with "Gems" or chatbots customized for specific purposes.

Users can write specific instructions for particular purposes and create a Gem, saving them time from rewriting prompts for repetitive use cases.