EU Bows to Pressure on Loosening AI, Privacy Rules

Brussels denies pressure from the US administration influenced its push to 'simplify' the bloc's digital rules. INA FASSBENDER / AFP/File
Brussels denies pressure from the US administration influenced its push to 'simplify' the bloc's digital rules. INA FASSBENDER / AFP/File
TT

EU Bows to Pressure on Loosening AI, Privacy Rules

Brussels denies pressure from the US administration influenced its push to 'simplify' the bloc's digital rules. INA FASSBENDER / AFP/File
Brussels denies pressure from the US administration influenced its push to 'simplify' the bloc's digital rules. INA FASSBENDER / AFP/File

The European Union is set next week to kickstart a rollback of landmark rules on artificial intelligence and data protection that face powerful pushback on both sides of the Atlantic.

Part of a bid to slash red tape for European businesses struggling against US and Chinese rivals, the move is drawing accusations that Brussels is putting competitiveness ahead of citizens' privacy and protection, AFP said.

Brussels denies that pressure from the US administration influenced its push to "simplify" the bloc's digital rules, which have drawn the wrath of President Donald Trump and American tech giants.

But the European Commission says it has heard the concerns of EU firms and wants to make it easier for them to access users' data for AI development -- a move critics attack as a threat to privacy.

One planned change could unite many Europeans in relief however: the EU wants to get rid of those pesky cookie banners seeking users' consent for tracking on websites.

According to EU officials and draft documents seen by AFP, which could change before the November 19 announcement, the European Commission will propose:

-- a one-year pause in the implementation of parts of its AI law

-- overhauling its flagship data protection rules, which privacy defenders say will make it easier for US Big Tech to "suck up Europeans' personal data".

The bloc's cornerstone General Data Protection Regulation (GDPR) enshrined users' privacy from 2018 and influenced standards around the world.

The EU says it is only proposing technical changes to streamline the rules, but rights activists and EU lawmakers paint a different picture.

The EU executive proposes to narrow the definition of personal data, and allow companies to process such data to train AI models "for purposes of a legitimate interest", a draft document shows.

Reaction to the leaks has been swift -- and strong.

"Unless the European Commission changes course, this would be the biggest rollback of digital fundamental rights in EU history," 127 groups, including civil society organizations and trade unions, wrote in a letter on Thursday.

Online privacy activist Max Schrems warned the proposals "would be a massive downgrading of Europeans' privacy" if they stay the same.

An EU official told AFP that Brussels is also expected to propose a one-year delay on implementing many provisions on high-risk AI, for example, models that can pose dangers to safety, health or citizens' fundamental rights.

Instead of taking effect next year, they would apply from 2027.

This move comes after heavy pressure from European businesses and US Big Tech.

Dozens of Europe's biggest companies, including France's Airbus and Germany's Lufthansa and Mercedes-Benz, called for a pause in July on the AI law which they warn risks stifling innovation.

Commission president Ursula von der Leyen faces a battle ahead as the changes will need the approval of both the EU parliament and member states.

Her conservative camp's main coalition allies have raised the alarm, with the socialists saying they oppose any delay to the AI law, and the centrists warning they would stand firm against any changes that undermine privacy.

Noyb, a campaign group founded by Schrems, published a scathing takedown of the EU's plans for the GDPR and what they entail.

The EU has pushed back against claims that Brussels will reduce privacy.

"I can confirm 100 percent that the objective... is not to lower the high privacy standards we have for our citizens," EU spokesman for digital affairs, Thomas Regnier, said.

But there are fears that more changes to digital rules are on the way.

The proposals are part of the EU executive's so-called simplification packages to remove what they describe as administrative burdens.

Brussels rejects any influence from Trump -- despite sustained pressure since the first weeks of the new US administration, when Vice President JD Vance railed against the "excessive regulation" of AI.

This "started before the mandate of the president of the US", chief commission spokeswoman Paula Pinho said this week.

Calls for changes to AI and data rules have been growing louder in Europe.

A major report last year by Italian ex-premier Mario Draghi also warned that data rules could hamper European businesses' AI innovation.



Microsoft Bets Big on AI in Australia with $18 Billion Investment

FILE PHOTO: A Microsoft logo is seen next to a cloud in Los Angeles, California, US June 14, 2016. REUTERS/Lucy Nicholson/File Photo
FILE PHOTO: A Microsoft logo is seen next to a cloud in Los Angeles, California, US June 14, 2016. REUTERS/Lucy Nicholson/File Photo
TT

Microsoft Bets Big on AI in Australia with $18 Billion Investment

FILE PHOTO: A Microsoft logo is seen next to a cloud in Los Angeles, California, US June 14, 2016. REUTERS/Lucy Nicholson/File Photo
FILE PHOTO: A Microsoft logo is seen next to a cloud in Los Angeles, California, US June 14, 2016. REUTERS/Lucy Nicholson/File Photo

Microsoft said on Thursday that it will invest A$25 billion ($17.9 billion) in Australia by the end of 2029 to boost computing and artificial intelligence capacity, betting on growing demand for the technology in the country.

The US tech giant's latest investment reflects rising demand for AI technologies and positions Australia as a key growth market.

According to Reuters, Microsoft said the investment will support the expansion of its Azure AI supercomputing and cloud infrastructure, strengthen cybersecurity and promote AI skills development across the country.

"Australia has an enormous opportunity to translate AI into real economic growth and societal ⁠benefit," Microsoft CEO ⁠Satya Nadella, currently visiting Sydney as part of the company's global AI tour, said in a statement.

He described the initiative as Microsoft's largest investment in Australia to date.

Microsoft and its Big Tech rivals Alphabet, Amazon and Meta will collectively invest about $650 billion to scale up AI-related infrastructure this year, according to Bridgewater Associates.

"This is a serious vote of confidence in Australia as a tier-one AI market," ⁠eToro Analyst Josh Gilbert said.

"For a long time, the AI capex conversation has been a US story, with occasional nods to Japan, Singapore, and even the Middle East. The fact that Microsoft is now putting this kind of capital behind Australia, alongside similar moves across the globe, shows the region is squarely in the AI build-out plan," Gilbert added.

The investment also comes at a time when Microsoft faces growing competition in AI assistants, with its Copilot tool competing against offerings such as Anthropic's Claude and Google's Gemini. The Windows maker has been racing to improve Copilot to drive better adoption.

Microsoft also announced plans to ⁠expand its commercial cloud ⁠and AI, including graphics processing unit offerings, for Australian customers by more than 140% by the end of 2029.

For Microsoft, the investment "is about defending Azure's turf, locking in enterprise customers, and buying distribution in a market where the AI race is still wide open," eToro's Gilbert added.

The latest commitment builds on Microsoft's A$5 billion investment in 2023 aimed at expanding its hyperscale cloud computing and AI infrastructure in Australia.

"More training, better technology and new opportunities for Australians to get ahead. That's what the massive AI investment Microsoft announced today will mean for Australia," Prime Minister Anthony Albanese said in a post on X.

The Australian government welcomed the announcement, and said it will collaborate with Microsoft to forecast infrastructure needs and strengthen the country's energy systems.


Ping-Pong Robot Ace Makes History by Beating Top-Level Human Players

Sony AI autonomous robot Ace returns a shot back against its human opponent, table tennis player Yamato Kawamata, during a match in December 2025, as seen in this photograph released on April 22, 2026. (Sony AI/Handout via Reuters)
Sony AI autonomous robot Ace returns a shot back against its human opponent, table tennis player Yamato Kawamata, during a match in December 2025, as seen in this photograph released on April 22, 2026. (Sony AI/Handout via Reuters)
TT

Ping-Pong Robot Ace Makes History by Beating Top-Level Human Players

Sony AI autonomous robot Ace returns a shot back against its human opponent, table tennis player Yamato Kawamata, during a match in December 2025, as seen in this photograph released on April 22, 2026. (Sony AI/Handout via Reuters)
Sony AI autonomous robot Ace returns a shot back against its human opponent, table tennis player Yamato Kawamata, during a match in December 2025, as seen in this photograph released on April 22, 2026. (Sony AI/Handout via Reuters)

An autonomous robot ping-pong player dubbed Ace has achieved a milestone for AI and robotics in Tokyo by competing against and sometimes defeating top-level human players at table tennis, a feat that could presage an array of other applications for similarly adept robots.

Ace, created by the Japanese company Sony's AI research division, is the first robot to attain expert-level performance in a competitive physical sport, one that requires rapid decisions and precision execution, the project's leader said. Ace did so by employing high-speed perception, AI-based control and a state-of-the-art robotic system.

There have been various ping-pong-playing robots since 1983, but until now they were unable to rival highly skilled human competitors. Ace changed that with its performances against human elite-level and professional players in matches following the rules of the International Table Tennis Federation, the sport's governing body, and officiated by licensed umpires.

"Unlike computer games, where prior AI systems surpass human experts, physical and real-time sports such as table tennis remain a major open challenge due to their requirements for fast, precise and adversarial interactions near obstacles and at the edge ‌of human reaction ‌time," said Peter Dürr, director of Sony AI Zurich and leader for Sony AI's project Ace.

The ‌project's ⁠goal was not ⁠only to compete at table tennis but to develop insights into how robots can perceive, plan and act with human-like speed and precision in dynamic environments, Dürr said.

"The success of Ace, with its perception system and learning-based control algorithm, suggests that similar techniques could be applied to other areas requiring fast, real-time control and human interaction - such as manufacturing and service robotics, as well as applications across sports, entertainment and safety-critical physical domains," said Dürr, lead author of a study describing Ace's achievements published on Wednesday in the journal Nature.

In matches detailed in the study, Ace in April 2025 won three out of five versus elite players and lost two matches against professional players, the top skill level in the ⁠sport. Sony AI said that since then Ace beat professional players in December 2025 and last ‌month.

Companies worldwide are making advances with robots. On Sunday, for instance, robots outran human ‌runners in a half-marathon race in Beijing.

'A BLUR TO THE HUMAN EYE'

AI systems already have excelled in digital domains in strategy games such as ‌chess and Go and at complex video games.

While video games take place in simulated environments, table tennis requires rapid decision-making, precise ‌physical execution and continuous adaptation to an unpredictable opponent, Dürr said. The ball moves at high speeds with complex spins and trajectories, pushing humans and robots to operate at the limits of sensing, prediction and motor control, Dürr said.

Ace's architecture integrates nine synchronized cameras and three vision systems to track a spinning ball with exceptional accuracy and speedy processing time.

"This is fast enough to capture motion that would be a blur to the human eye," Dürr ‌said.

The researchers developed a custom robot platform featuring eight joints. This was, Dürr said, the minimum number necessary to execute competitive shots: three for the racket's position, two for its orientation ⁠and three for the shot's speed ⁠and strength.

Mayuka Taira, a professional table tennis player who lost a match to Ace last December, said in comments provided by Sony AI that the robot's strengths "are that it is very hard to predict, and it shows no emotion."

"Because you can't read its reactions, it's impossible to sense what kind of shots it dislikes or struggles with, and that makes it even more difficult to play against," Taira said.

Rui Takenaka, an elite-level player who has won and lost matches against Ace, said in comments provided by Sony AI: "When it came to my serve, if I used a serve with complex spin, Ace also returned the ball with complex spin, which made it difficult for me. But when I used a simple serve - what we call a knuckle serve - Ace returned a simpler ball. That made it easier for me to attack on the third shot, and I think that was the key reason why I was able to win."

Ace has room for improvement, Dürr said.

"Ace has a superhuman ability to read the spin of incoming balls, and superhuman reaction time. As it learns to play not from watching humans play, but is trained by itself in simulation, it also reacts differently from human players and creates surprising situations," Dürr said. "At the same time, professional human athletes are very good at adapting to their opponent and finding weaknesses, which is an area that we are working on."


ICAIRE Launches Global ‘AI Glossary Challenge’ to Promote Responsible Innovation

The initiative aims to promote the ethical use of modern technologies across international contexts
The initiative aims to promote the ethical use of modern technologies across international contexts
TT

ICAIRE Launches Global ‘AI Glossary Challenge’ to Promote Responsible Innovation

The initiative aims to promote the ethical use of modern technologies across international contexts
The initiative aims to promote the ethical use of modern technologies across international contexts

The International Center for AI Research and Ethics (ICAIRE), a Riyadh-based UNESCO affiliate, has launched the AI Glossary Challenge, inviting researchers, students, and practitioners to develop knowledge tools that support a responsible AI ecosystem.

By standardizing concepts and establishing a shared knowledge base, the initiative aims to promote the ethical use of modern technologies across international contexts.

The challenge comprises three specialized tracks: AI Glossary Tools for developing digital applications such as APIs and governance dashboards; Dataset Creation for building high-quality, bias-free cultural datasets; and Cultural Hallucinations Tools to detect and interpret contextual errors in large language models, enhancing their global adaptability.

Hosted on the Kaggle platform, the competition offers prizes to winning teams to foster a specialized community dedicated to AI ethics.