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South Africa and China expand digital education ties

South Africa and China have agreed on measures to deepen cooperation in digital education, technical skills development and student mobility following bilateral talks at the World Digital Education Conference in Hangzhou.

The talks brought together South Africa’s Minister of Higher Education and Training, Buti Manamela, and China’s Vice Minister of Education, Xu Qingsen. According to SAnews, the meeting produced a framework for stronger cooperation in areas including AI, vocational training and industry-linked education pathways.

Planned measures include a structured cooperation framework on AI in education and digital transformation, as well as a Joint Technical Working Group to oversee the rollout of China-South Africa Vocational and Technical Centres across all nine South African provinces.

Both countries also committed to expanding technical and vocational education and training cooperation, aligning programmes with industrial sectors such as AI, robotics, renewable energy and advanced manufacturing. Scholarship programmes are also expected to be more closely linked to South Africa’s industrial priorities, including AI, engineering, green energy and the development of TVET lecturers.

The cooperation will include expanded postgraduate study opportunities and joint research initiatives. Future short-term training programmes are expected to focus on AI governance, digital learning systems, industrial policy and digital public infrastructure, to strengthen institutional capacity across government and the post-school education sector.

Officials also highlighted the goal of linking education more directly with employment. Existing cooperation includes a partnership with Beijing Polytechnic College, where South African TVET students completed specialised training in new energy vehicles and hybrid technologies, with Chinese automaker BYD committing to provide internships and employment opportunities.

Why does it matter?

The cooperation links digital education with industrial policy, skills development and employment pathways, rather than treating AI education as a standalone technology issue. By focusing on vocational centres, scholarships, AI governance and digital public infrastructure, South Africa and China are positioning education cooperation as part of broader workforce and institutional capacity-building for the digital economy.

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China expands AI education strategy through global learning platform

China has launched a global AI education service platform to expand cross-border access to digital learning resources and support the integration of AI into education.

The initiative was announced during the 2026 World Digital Education Conference in Hangzhou and forms part of a broader upgrade to Smart Education of China, a digital education platform now accessible in around 220 countries and regions.

Chinese authorities said the upgraded platform will support cross-border sharing of educational resources and expand international services. New features include a lifelong learning hub and a Chinese language learning community.

The conference also saw the release of a report outlining China’s policy progress and practical experience in smart education. An AI education initiative was also unveiled, calling for better use of AI to support well-rounded and sustainable human development.

The initiative also urged stronger efforts to bridge the global digital divide by using smart education platforms to share high-quality resources and digital tools.

Why does it matter?

The launch shows how AI education is becoming part of digital infrastructure strategy, not only classroom reform. By linking AI tools, online learning resources and international access through a state-backed platform, China is positioning digital education as an area of both domestic development and global cooperation. It also points to wider competition over who builds the platforms, standards and learning ecosystems that will shape AI literacy and future workforce skills.

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China AI ethics draft translated by Georgetown’s CSET

The Center for Security and Emerging Technology (CSET), a policy research organisation within Georgetown University’s Walsh School of Foreign Service, has published an English translation of China’s draft trial measures on ethics reviews for AI technology.

The translated draft says the measures would apply to AI-related scientific and technological activities conducted within China that may pose ethical risks to human health, human dignity, the ecological environment, public order, or sustainable development. It covers universities, research institutions, medical and health institutions, enterprises, and other organisations involved in AI research and development.

Under the draft, organisations with the necessary conditions would be expected to establish AI technology ethics committees, while others could commission specialised ethics service centres to conduct reviews. Review applications would need to include details on the AI activity, algorithms, data sources, data cleaning methods, testing and evaluation, expected applications, user groups, risk assessments, and risk prevention plans.

The review process would focus on fairness and impartiality; controllability and trustworthiness; transparency and explainability; accountability and traceability; and whether the activity has scientific and social value. Committees or service centres would generally have 30 days to approve, reject, or request revisions to an application.

Higher-risk activities would require expert reconsideration. The draft list includes human-computer fusion systems that strongly affect behaviour, psychological or emotional states, or health; AI models and systems able to mobilise public opinion or channel social consciousness; and highly autonomous automated decision-making systems used in safety or personal health-risk scenarios.

Approved AI activities would also be subject to follow-up reviews, generally at intervals of no more than 12 months, while activities requiring expert reconsideration would be subject to follow-up reviews at least every 6 months. Emergency ethics reviews would normally have to be completed within 72 hours.

CSET notes that China released a final trial version of the regulation in April 2026, which it is now translating. The newly published draft translation therefore provides insight into the regulatory structure that preceded the final version, including committee-based ethics review, external service centres, expert reconsideration, and oversight roles for the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and other departments.

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China unveils Hanyuan-2 dual-core quantum computer breakthrough

China’s CAS Cold Atom Technology has unveiled Hanyuan-2, a 200-qubit neutral atom quantum computer that Chinese state media described as the world’s first dual-core neutral atomic quantum computer.

Developed in Wuhan by a company affiliated with the Chinese Academy of Sciences, Hanyuan-2 is presented as a shift from single-core to dual-core quantum architecture. The system uses neutral-atom array technology and combines 100 rubidium-85 and 100 rubidium-87 atoms to form a 200-qubit system.

The dual-core architecture allows the two processing units to operate independently in parallel or to work together in a main-and-support configuration. Developers say the approach could improve computational efficiency, support error correction and help address challenges linked to stability, qubit interference and scalability.

Unlike many quantum systems that require highly specialised operating environments, Hanyuan-2 is described as using a compact integrated design with a simplified laser-cooling setup and power consumption below 7 kilowatts. The design is intended to reduce operating complexity and make quantum computing systems easier to deploy.

The announcement highlights China’s continued investment in quantum computing hardware, particularly neutral atom systems. However, the system’s practical performance remains difficult to assess publicly because detailed benchmarks such as gate fidelity, coherence time and error rates have not yet been released in peer-reviewed or standardised form.

Why does it matter?

Hanyuan-2 points to growing experimentation with quantum computing architectures designed to improve scalability, stability and efficiency. Dual-core designs could support more flexible processing and error-correction approaches, but their real significance will depend on independently verifiable performance metrics. For now, the announcement is best understood as a signal of China’s ambition in quantum hardware rather than proof of practical superiority over other systems.

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China launches AI ethics review pilot programme

A national pilot programme for AI ethics review and services has been launched by China, as authorities move to strengthen oversight of growing risks linked to advanced AI systems.

The initiative, announced by China’s Ministry of Industry and Information Technology, aims to establish practical mechanisms for AI ethics governance as concerns over algorithmic discrimination, emotional dependence, and broader societal risks continue to grow. Authorities said the initiative will initially operate in provincial-level regions hosting national AI industrial innovation pilot zones. It will focus on refining provincial AI ethics review rules, supporting the creation of ethics committees, and developing specialised ethics review and service centres. Chinese regulators also plan to transform the ethics review process into technical standards while improving mechanisms for reporting AI-related ethical concerns.

The Ministry of Industry and Information Technology has also called for the creation of a national AI ethics risk monitoring service network, along with training materials, ethics education courses, and early-warning systems to support pilot cities.

By embedding ethics reviews into AI development and deployment processes, China appears to be building a more institutionalised framework for managing the societal and technological risks associated with increasingly powerful AI systems.

Why does it matter?

China’s latest move signals a shift from broad AI governance principles towards operational enforcement mechanisms embedded directly into regional innovation ecosystems. The programme could influence how other governments approach AI oversight, particularly as global concerns grow over algorithmic bias, psychological manipulation, and accountability in frontier AI systems.

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China outlines AI and energy integration plan

The Chinese National Energy Administration, alongside the National Development and Reform Commission, the Ministry of Industry and Information Technology and the National Data Administration, has released an action plan to promote mutual development between AI and the energy sector.

The plan focuses on ensuring a reliable energy supply for computing infrastructure while using AI to support energy transformation. It outlines 29 key tasks covering green energy use, efficient coordination between power and computing, and expanding high-value AI applications in energy.

Authorities aim to significantly improve the clean energy supply for AI computing and strengthen AI adoption in energy by 2030. The strategy also seeks to enhance data use and drive innovation in AI models within the energy sector.

The agencies will establish coordination mechanisms across government and industry to support implementation and innovation. The initiative reflects a broader push to integrate AI and energy systems more deeply in China.

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SHEIN faces Irish inquiry over EU data transfers to China

Ireland’s Data Protection Commission has opened an inquiry into Infinite Styles Services Co. Ltd. (known as SHEIN Ireland), over transfers of personal data of EU and EEA users to China.

The inquiry will examine whether SHEIN Ireland has complied with its obligations under the General Data Protection Regulation in relation to those transfers. The DPC said it will assess compliance with GDPR principles on personal data processing, transparency obligations under Article 13, and Chapter V requirements governing transfers of personal data to third countries.

The regulator said its decision to begin the inquiry was issued to SHEIN Ireland at the end of April. The case comes as data transfers to China face growing regulatory scrutiny in Europe, including through recent DPC enforcement action and complaints filed with other European supervisory authorities.

Deputy Commissioner Graham Doyle said: ‘When an individual’s personal data is transferred to a country outside the E U, the GDPR requires that this personal data is afforded essentially the same protections as it would within the EU.’

He added: ‘Recent regulatory action by the DPC, together with complaints to other European supervisory authorities, has brought data transfers to China, in particular, into focus. The inquiry is an important strategic priority for the DPC and we intend to cooperate closely with our peer European Supervisory Authorities as part of the investigation.’

Under the GDPR, transfers of personal data outside the EU and EEA must meet specific safeguards so that the level of protection provided under EU law is not undermined. Where no European Commission adequacy decision exists for a third country, organisations must rely on alternative mechanisms, such as standard contractual clauses, and demonstrate that equivalent protections are in place.

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US and China reportedly weigh AI risk talks ahead of leaders’ summit

The United States and China are considering launching official discussions on AI risk management, The Wall Street Journal reported, citing people familiar with the matter.

According to the report, the White House and the Chinese government are also considering whether to place AI on the agenda for a planned summit in Beijing between US President Donald Trump and Chinese President Xi Jinping. If agreed, the talks would mark the first AI-specific engagement between the two governments under the current US administration.

The possible dialogue could focus on risks linked to advanced AI systems, including unexpected model behaviour, autonomous military applications and misuse by non-state actors using powerful open-source tools, people familiar with the discussions told the newspaper. The report said Washington is waiting for Beijing to designate a counterpart for the talks.

The WSJ reported that US Treasury Secretary Scott Bessent is leading the US side, while Chinese Vice Finance Minister Liao Min has been involved in discussions on setting up such a channel. The newspaper added that the two presidents would ultimately decide whether AI appears on the formal summit agenda.

Liu Pengyu, spokesperson for the Chinese Embassy in Washington, was cited as saying that China is ready to engage in communication on AI risk mitigation. Analysts have raised the possibility that any future dialogue could support crisis-management tools, including an AI hotline between senior leaders.

The report places the latest deliberations in the context of earlier US-China engagement on AI. In 2023, then US President Joe Biden and Xi launched a formal AI dialogue, and both sides later said humans, not AI, would retain authority over nuclear-launch decisions. The WSJ said the earlier process produced limited results, but AI has remained a high-level focus in bilateral relations.

Non-governmental discussions have also reportedly continued in parallel, including exchanges involving former Microsoft research executive Craig Mundie and Chinese counterparts from Tsinghua University and major AI companies. Participants cited by the newspaper said those exchanges have focused on frontier-model safety, technical guardrails and broader questions of strategic stability.

Why does it matter?

A formal AI risk channel between Washington and Beijing would signal that both governments see advanced AI as a strategic stability issue, not only an economic or technological race. Even brief talks could matter if they create channels for crisis communication about military AI, frontier-model failures, or misuse by non-state actors. However, because the discussions are still only reported as under consideration, the significance lies in the possibility of a risk-management mechanism, not in any confirmed diplomatic breakthrough.

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China pushes AI self-reliance while expanding global cooperation

Chinese Vice Premier Ding Xuexiang has reiterated China’s emphasis on AI self-reliance while also calling for deeper international cooperation, underscoring a dual approach to technology policy amid rising global competition. Speaking at the opening of the 9th Digital China Summit, he presented AI as an important part of China’s wider modernisation agenda.

Ding said China should strengthen self-reliance and independent innovation in AI, arguing that the sector must be able to withstand external pressure and attempts at suppression. He also emphasised application-driven development, calling for faster integration of AI into the real economy to support productivity and industrial transformation.

Alongside those domestic priorities, he called for a more collaborative innovation ecosystem, including closer coordination across the AI industry chain. Internationally, he advocated open and mutually beneficial cooperation, with particular emphasis on computing power, data, and talent.

Regulation also featured prominently in the speech. Ding said AI development must remain safe and controllable, with stronger oversight to ensure the technology serves human interests and remains under human control. Taken together, the message reflects China’s broader effort to balance technological sovereignty with continued international engagement.

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New Chinese rules restrict digital promotion of financial products

China has introduced new online marketing rules for financial products, further tightening its long-standing restrictions on cryptocurrency-related activity. The new framework limits the promotion of financial products to licensed entities and treats digital currency trading and issuance as illegal financial activity.

Issued by the People’s Bank of China and seven other regulators, the Administrative Measures for Online Marketing of Financial Products will take effect on 30 September 2026. The rules extend responsibility to platforms, intermediaries, and content creators who promote or facilitate financial products online.

Any assistance in promoting or facilitating prohibited financial activity may now be treated as participation in illegal finance, expanding enforcement beyond direct trading bans. In practice, that broadens the focus from financial products themselves to the wider digital promotion layer, including online displays, traffic generation, and other forms of internet-based marketing support.

Authorities say the measures are intended to protect consumers by limiting misleading or aggressive online promotion, including livestream marketing and viral investment content. In that sense, the rules are not only about crypto, but about tighter control over how financial products are marketed in digital environments.

The policy also reinforces China’s existing position, dating back to 2021, when regulators declared all cryptocurrency transactions illegal, while pushing enforcement deeper into the digital advertising and distribution layers of financial markets.

Why does it matter?

Stronger oversight of online financial promotion shows that crypto-related advertising is increasingly being treated as a regulatory risk category, not just a marketing issue. The Chinese move also points to a broader trend in which regulators are extending scrutiny beyond financial products themselves to the digital channels, influencers, and platforms that help distribute them.

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