Sustainable AI discussed by UNESCO and Saudi leaders under Vision 2030

Leaders from government, academia, and industry gathered to emphasise that sustainable AI must shape efficient, inclusive, and environmentally responsible systems. The discussion focused on embedding sustainability, ethics, and human-centred principles throughout the AI lifecycle by adopting a sustainable-by-design approach.

The workshop was built on Saudi Arabia’s expanding role in AI and digital transformation through the Saudi Data & AI Authority (SDAIA) and the National Strategy for Data and AI (NSDAI). The efforts are supported by significant investments in cloud infrastructure and data centres under the Kingdom’s Vision 2030 programme. Participants highlighted that sustainable AI must become a core principle in the development of emerging digital infrastructure and AI-powered services.

Abdulrahman Habib, Director of the International Centre for Artificial Intelligence Research and Ethics (ICAIRE), highlighted Saudi Arabia’s growing leadership in AI ethics and governance. With national AI Ethics Principles and a maturing regulatory landscape, the Kingdom is positioning itself as a global contributor to responsible AI dialogue, translating principles into operational governance systems rather than just policy statements.

Leona Verdadero of UNESCO highlighted two core concepts: Greening with AI, which uses AI to accelerate sustainability, and Greening of AI, which ensures systems are energy-efficient, ethical, and human-centred. She stressed that effective AI governance requires collaboration and industry leadership at every stage of development.

Per Ola Kristensson from the University of Cambridge urged action beyond rhetoric, stressing that true AI sustainability means developing technology to augment, not replace, human potential. Industry presentations reinforced that sustainable AI drives real-world progress. Companies like RECYCLEE optimise resource recovery, Remedium reduces environmental impacts in healthcare and infrastructure, and IDOM strengthens sustainability reporting through AI-enhanced design.

UNESCO supports Saudi Arabia’s drive for inclusive, ethical, and sustainable AI ecosystems, framing sustainable AI as critical in the global transition to green digital transformation.

Faisal Al Azib, Executive Director of the UN Global Compact Network Saudi Arabia, stated: ‘As the Kingdom advances its digital transformation under Vision 2030, we have a responsibility to ensure that innovation advances hand in hand with sustainability and human dignity.’

Al Azib concluded: ‘Sustainable AI is central to building resilient, future-ready businesses. Through partnerships with UNESCO and our local ecosystem, we aim to equip companies with the governance tools to embed responsible, energy-efficient, and human-centred AI into their core strategies.’

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EU explores AI image generation safeguards

The Council of the European Union is examining a compromise proposal that could introduce restrictions on certain AI systems capable of generating sensitive synthetic images.

The discussions form part of ongoing adjustments to the EU AI Act.

A proposed measure that would primarily address AI tools that generate illegal material, particularly content involving the exploitation of minors.

Policymakers are considering ways to prevent the development or deployment of systems that could produce such material while maintaining proportionate rules for legitimate AI applications.

Early indications suggest the proposal may not apply to images depicting people in standard clothing contexts, such as swimwear. The distinction reflects policymakers’ effort to define the scope of restrictions without imposing unnecessary limits on common image-generation uses.

The debate highlights broader regulatory challenges linked to generative AI technologies. European institutions are seeking to strengthen protections against harmful uses of AI while preserving space for innovation and lawful digital services.

Further negotiations among the EU institutions are expected as lawmakers continue refining how these provisions could fit within the broader European framework governing AI.

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Japan expands strategic investment in AI, quantum computing, and drones

Japan has identified dozens of advanced technologies as priority investment targets as part of an economic strategy led by Sanae Takaichi.

The plan aims to channel public and private capital into industries expected to drive long-term economic growth.

Government officials selected 61 technologies and products for support across 17 strategic sectors. The list includes emerging fields such as AI, quantum computing, regenerative medicine and marine drones.

Many of these technologies are still in early development, but are considered important for economic security and global competitiveness.

The strategy forms a central pillar of Takaichi’s broader economic agenda to strengthen Japan’s industrial base and encourage investment in high-growth sectors. Authorities plan to release spending estimates and implementation timelines by summer as part of a detailed investment roadmap.

Japan has also set ambitious market goals in several sectors. Officials aim to secure more than 30% of the global AI robotics market by 2040 while increasing annual sales of domestically produced semiconductors to ¥40 trillion.

Several Japanese technology companies could benefit from the policy direction. Firms such as Fanuc, Yaskawa Electric and Mitsubishi Electric are integrating AI into industrial robots, while Sony Group produces sensors used in robotic systems.

Chipmakers, including Rohm, Kioxia and Renesas Electronics, may also benefit from increased investment in semiconductor manufacturing and related supply chains.

Despite strong investor interest, analysts note uncertainty about how the programme will be financed, particularly as Japan faces rising spending pressures from social security, defence and public debt.

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Dutch court increases pressure on Meta over non-profiling social media feeds

A court in the Netherlands has increased potential penalties against Meta after ruling that changes to social media timelines must be implemented urgently.

The decision raises the potential fine for non-compliance from €5 million to €10 million if required adjustments are not applied to Facebook and Instagram feeds.

Judges at the Amsterdam Court of Appeals said users must be able to select a timeline that does not rely on profiling-based recommendations.

The ruling follows a legal challenge from the digital rights organisation Bits of Freedom, which argued that users who switched away from algorithmic feeds were automatically returned to them after navigating the platform or reopening the application.

The court concluded that the automatic resetting mechanism represents a deceptive design practice known as a ‘dark pattern’.

Such practices are prohibited under the EU’s Digital Services Act, which requires large online platforms to provide greater transparency and user control over recommendation systems.

Judges acknowledged that Meta had already introduced several technical changes, although not all required measures were fully implemented. The company must ensure that the non-profiling timeline option remains active once selected, rather than reverting to algorithmic recommendations.

The dispute also highlights regulatory tensions within the European framework. Before turning to the courts, Bits of Freedom submitted a complaint to Coimisiún na Meán, the national authority responsible for overseeing Meta’s compliance with the EU rules.

According to the organisation, the lack of progress from regulators encouraged legal action in Dutch courts.

Meta indicated that the company intends to challenge the decision and pursue further legal proceedings. The case could become an important test of how the Digital Services Act is enforced against major online platforms across Europe.

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Digital sovereignty in Asia moves beyond US versus non-US cloud debate

AI, cloud computing, and cross-border data flows have made questions about control and jurisdiction increasingly important for governments and businesses. In Asia, the debate around digital sovereignty often focuses on ‘US versus non-US cloud’ providers or data localisation.

Such simplifications miss the practical challenges organisations face when choosing hosting locations or training AI models while navigating diverse regulatory regimes.

At the same time, Asia’s digital economy is building its own regulatory foundations. In Vietnam and Indonesia, new rules such as Vietnam’s Decree 53 and Indonesia’s data protection framework show how governments are shaping data governance while still relying on global cloud and AI platforms. Most organisations across the region continue to operate using a mix of local, regional, and international providers.

Organisations must address key questions about data jurisdiction and workload mobility when risks change. They must also control who can access sensitive systems during incidents. Digital sovereignty is clearer when seen through three pillars: data sovereignty, technical sovereignty, and operational sovereignty.

Data sovereignty is about jurisdiction, not just data storage. As AI regulation expands, businesses need to know which authorities can access their data and how it may be used. Technical sovereignty is the ability to move or redesign systems as regulations or geopolitics shift. Multi-cloud and hybrid strategies help organisations remain adaptable.

Operational sovereignty focuses on governance and control. It addresses who can access systems, from where, and under what safeguards, thus linking sovereignty directly to cybersecurity and incident response.

For Asia-Pacific organisations, digital sovereignty should not be a simple procurement checklist. Instead, it should guide cloud and AI strategies from the start, ensuring legal clarity, technical flexibility, and operational trust as the digital landscape evolves.

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EU draft regulation aims to create new legal framework for startups

A draft initiative from the European Commission seeks to introduce a new legal structure designed to simplify how companies operate across the EU.

The proposal, often referred to as the ‘EU Inc’ initiative, explores the creation of a so-called ’28th regime’ that would exist alongside national corporate frameworks used by member states.

A concept that aims to provide startups and technology firms with a single legal structure that applies across the EU.

Instead of navigating different national rules in each country, companies could operate under a unified regulatory model intended to reduce administrative barriers and encourage cross-border innovation.

According to the draft, the initiative may rely on an EU regulation rather than separate national legislation. Such an approach could enable faster implementation, as the EU regulations apply directly across all member states without requiring domestic transposition.

However, the legal basis of the proposal could raise institutional concerns. Using a regulation as the primary mechanism may constitute an unconventional shortcut in the EU lawmaking, potentially sparking debate among policymakers over the approach’s scope and legitimacy.

The initiative reflects broader efforts within the Union to simplify regulatory frameworks and strengthen the competitiveness of European startups. If adopted, the ‘EU Inc’ model could reshape how young companies expand across the single market.

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The US releases national cyber strategy, prioritising offense and AI

President Donald Trump released his administration’s national cybersecurity strategy, outlining priorities across six policy areas: offensive and defensive cyber operations, federal network security, critical infrastructure protection, regulatory reform, emerging technology leadership, and workforce development. Trump also signed an executive order the same day, directing federal agencies to increase the prosecution of cybercrime and fraud.

The strategy document spans five pages of substantive text, with administration officials describing it as intentionally high-level. The White House stated that more detailed implementation guidance would follow.

The strategy’s six pillars include the following provisions:

Shaping adversary behaviour requires deploying US offensive and defensive cyber capabilities and incentivising private-sector disruption of adversary networks. It also states the administration will “counter the spread of the surveillance state and authoritarian technologies.”

Promoting regulation advocates for reducing compliance requirements characterised as ‘costly checklists’ and addresses liability frameworks — a priority also present in the prior administration’s approach.

Modernising federal networks involves adopting post-quantum cryptography, AI, zero-trust architecture, and reducing procurement barriers for technology vendors.

Securing critical infrastructure emphasises supply chain resilience and preference for domestically produced technology, alongside a role for state, local, tribal, and territorial governments.

Sustaining technological superiority focuses primarily on AI, quantum cryptography, data centre security, and privacy protection.

Building cyber talent commits to removing barriers among industry, academia, government, and the military to develop a skilled cybersecurity workforce. This pillar follows a period in which the administration reduced the number of federal cyber positions.

The accompanying executive order directs the attorney general to prioritise cybercrime prosecution, tasks agencies with reviewing tools to counter international criminal organisations, and assigns the Department of Homeland Security expanded training responsibilities. The strategy itself references cybercrime once.

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US government faces lawsuits over Anthropic AI move

Anthropic has launched two lawsuits against the US Department of Defence, disputing its recent designation of the AI firm as a ‘supply chain risk.’ The company claims the move is unlawful and infringes on its First Amendment rights.

The company argues that the government is punishing it for refusing to allow the military to use its AI for domestic surveillance or for fully autonomous weapons.

The lawsuits, filed in California and Washington, DC courts, follow the Pentagon’s unprecedented use of the supply chain risk tool against a US company. The designation requires other government contractors to sever ties with Anthropic, posing a serious threat to its business operations.

The company maintains it remains committed to supporting national security applications of its AI.

The Department of Defence has used anthropic’s AI model Claude in operations targeting Iran. The company says it has worked with the DoD on system adaptations and seeks to continue negotiations while protecting its business and partners.

The firm claims government actions cause harm, though CEO Dario Amodei said the designation’s impact is limited. Anthropic insists judicial review is a necessary step to defend its business and ensure the responsible deployment of its technology.

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Canada warns about AI-generated scams targeting citizens online

Authorities in Canada have issued a warning about the growing use of AI in impersonation scams targeting citizens. Fraudsters increasingly deploy advanced tools capable of mimicking politicians, government officials and other public figures with convincing realism.

Deepfake videos, synthetic audio and AI-generated messages allow scammers to create convincing communications that appear to come from trusted authorities.

Such tactics are often used to persuade victims to send money, reveal personal information, install malicious software or engage with fraudulent investment offers.

Officials also warn about fake government websites created with AI-assisted tools that imitate official pages by copying national symbols and similar domain names. Suspicious websites often use unusual web addresses, extra characters, or unfamiliar domain endings to mislead visitors.

Authorities advise Canadians to verify unexpected messages through official channels rather than clicking links or responding immediately.

Suspected impersonation attempts should be reported to the Competition Bureau or the Canadian Anti-Fraud Centre.

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Malaysia expands AI learning across universities with Google tools

AI tools from Google are now available across all public universities in Malaysia after the nationwide deployment of Gemini for Education.

An initiative that integrates AI capabilities into university systems, providing digital research and learning support to nearly 600,000 students and 75,000 faculty members.

The rollout is coordinated with the Ministry of Higher Education Malaysia as part of the country’s broader strategy to become an AI-driven economy by 2030. Universities already using Google Workspace for

Education can now access advanced tools, including NotebookLM and the reasoning model Gemini 3.1 Pro, which are designed to support research, writing and personalised learning.

Several universities are already experimenting with AI-assisted teaching. At Universiti Malaysia Perlis, lecturers have created customised AI assistants to guide students through specialised engineering courses.

Meanwhile, researchers and students at Universiti Putra Malaysia are using AI tools to improve literature reviews and academic research workflows.

Other institutions are focusing on digital literacy and AI skills.

At Universiti Malaysia Sarawak, hundreds of lecturers and students are receiving AI certifications, while training programmes are expanding across campuses.

Officials believe the combination of AI tools, training and research support will strengthen the education system of Malaysia and prepare graduates for an increasingly AI-driven economy.

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