UN Cybercrime Convention Protocol talks reveal competing visions

The process of developing a supplementary protocol to the UN Convention against Cybercrime has begun, with early state submissions already showing competing views over its scope and timing.

The Ad Hoc Committee Secretariat invited preliminary written inputs on the possible scope, objectives and structure of a draft protocol supplementary to the Convention, also known as the ‘Hanoi Convention’. The mandate follows UN General Assembly resolution 79/243, which asked the Committee to negotiate a draft protocol addressing, among other issues, additional criminal offences.

The United States questioned the exercise’s premise, arguing that discussions on a supplementary protocol are premature because the Convention has not yet entered into force and its implementation has not yet been tested. Washington called for the Committee first to address whether a protocol is needed at all before discussing its scope, objectives and structure.

Russia, by contrast, submitted a draft protocol text covering a broad range of offences, including terrorism financing, extremism, arms and drug trafficking, critical information infrastructure, unauthorised access to personal data and crimes involving AI. The proposal reflects a wider approach to criminalisation, including content-related offences that are likely to be contested by states concerned about overreach, legal certainty and human rights safeguards.

Other early submissions appear more cautious. Brazil, Nigeria, and Ecuador broadly support advancing the protocol process, while signalling the need to limit its scope and maintain attention to safeguards. Brazil warned against including offences where there is insufficient international consensus, while Ecuador proposed a structure that includes emerging offences, digital evidence, public-private cooperation, proportionality and human rights.

The early inputs point to a familiar divide in UN cybercrime negotiations: whether the treaty framework should remain focused on classical cybercrime, electronic evidence and criminal justice cooperation, or expand further into content-based offences, national security concerns and politically sensitive forms of online conduct.

Why does it matter?

A supplementary protocol could shape the evolution of the UN cybercrime framework after the adoption of the main Convention. If states use the protocol to add broad or content-related offences, the treaty system could move beyond core cybercrime and electronic evidence cooperation into areas with direct implications for freedom of expression, human rights safeguards, political speech, platform governance and state sovereignty. The early submissions suggest that those unresolved tensions are already resurfacing before the Convention has entered into force.

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Google highlights rising online scam threats

Google has warned that online scams remain a major global challenge, citing estimates that fraud losses could reach nearly $580 billion in 2025.

In its latest fraud and scams advisory, the company said phishing attacks are becoming more sophisticated, with criminals using adversary-in-the-middle techniques and QR code phishing, also known as quishing, to steal credentials and bypass security measures.

The advisory also highlighted risks linked to cryptocurrency investment scams, malicious finance applications and police impersonation schemes. According to Google, scammers are using AI, social engineering and trusted digital services to deceive users, obtain money and collect sensitive information.

Google said its Trust & Safety teams are using AI tools, predictive analytics and policy enforcement to detect and disrupt fraudulent activity across its services. The company also pointed to measures such as stronger protections for session cookies, enforcement against deceptive crypto ads, monitoring of post-installation app behaviour and developer identity verification for apps installed on certified Android devices.

The company urged users to be cautious of unsolicited communications, unrealistic investment promises, unexpected QR codes and requests for personal or financial information.

Why does it matter?

The advisory shows how online fraud is becoming a cross-platform governance problem rather than a narrow cybersecurity issue. Scams now rely on trusted cloud services, mobile apps, messaging platforms, crypto infrastructure and impersonation of public authorities. That creates pressure on major technology companies to strengthen detection, app accountability and policy enforcement, while raising broader questions about consumer protection, platform responsibility and digital trust.

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EY Malta expands AI in audit services

EY Malta has introduced enterprise-scale agentic AI across its Assurance services, integrating the technology into EY Canvas, the firm’s global audit platform.

The rollout forms part of EY’s wider global strategy to embed AI into audit workflows and support audit quality, risk assessment, and client insights.

EY said the AI-enabled framework helps auditors analyse large volumes of data, assess risks, and access updated auditing and accounting guidance in real time. The firm said the technology is designed to support, not replace, auditors, with professional judgement and human oversight remaining central to the audit process.

The system is integrated with Microsoft Azure, Microsoft Foundry, and Microsoft Fabric, reflecting EY’s broader global partnership with Microsoft on the secure and scalable deployment of AI.

EY said the rollout follows global testing and is part of its long-term investment in audit quality, technology, and workforce development. The firm added that further AI enhancements are planned over the coming years as audit teams use the tools across more stages of the audit process.

EY Malta also highlighted related assurance and advisory services linked to AI readiness, governance, and risk management. The firm said the technology would allow teams in Malta to focus more on risk and audit quality while reducing administrative work.

Why does it matter?

The rollout shows how agentic AI is moving into regulated professional services, including audit, where accuracy, accountability, and human judgement remain central. AI could help auditors analyse larger datasets and focus on higher-risk areas. Still, it also raises questions about oversight, explainability, skills, liability, and how regulators assess AI-supported audit work.

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Researchers develop AI governance tools for public health across the Global Majority

A research team led by Professor Jude Kong from the University of Toronto is developing new tools to monitor, assess, and govern the use of AI in public health across the Global Majority, with a particular focus on Africa.

The team, which includes Jake Effoduh, Jim Hinton, Abbas Yazdinejad, and Maral Niaz, has begun mapping how AI is being integrated into healthcare systems and infrastructure. The work focuses on identifying key actors, technologies and use cases, providing a clearer picture of how AI is becoming embedded in public health systems.

The next phase involves developing a dynamic dashboard designed to track AI systems and support evidence-based decision-making. Rather than relying solely on top-down governance frameworks, the team aims to co-develop tools that policymakers, civil society organisations, educators and practitioners can use in their own contexts.

In practice, this means creating tools that are not only technically robust but also socially legitimate and locally relevant. While strengthening AI literacy and governance capacity across the Global Majority, the initiative aims to empower policymakers with evidence-based insights, support civil society in understanding AI systems, and enable more informed and inclusive decision-making processes.

By bringing together expertise in technology, law, public policy and social impact, the project reflects the multidisciplinary nature of AI governance. The team will present its findings at the AI for Good Global Summit in Geneva, during ITU’s Kaleidoscope sessions on Thursday, 9 July 2026, from 15:30 to 16:30.

Why does this matter in AI world?

AI for the Global Majority (AI4GM) is a joint initiative of the Geneva Graduate Institute, Microsoft and the International Telecommunication Union. The initiative supports research on how AI can benefit majority populations in areas including governance, education, health, finance, and digital innovation.

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UK launches £200 million initiative to accelerate AI adoption across the economy

The UK government has unveiled a nationwide initiative to accelerate AI adoption, announcing more than £200 million in funding to help businesses deploy AI technologies while strengthening workforce skills.

The announcement was made at the inaugural AI Adoption Summit, which brought together technology companies, trade unions and industry leaders to discuss the practical deployment of AI across the economy.

The programme includes a £100 million expansion of the Bridge AI scheme to connect businesses with AI solutions and expertise, alongside £53 million for new AI innovation and adoption initiatives. Additional funding will support AI Growth Zones, scholarships, workforce training and sector-specific programmes aimed at helping organisations adopt AI responsibly and effectively.

A key element of the initiative is the creation of the AI Economics Institute, chaired by Nobel Prize-winning economist Simon Johnson. The institute will examine how AI affects employment, productivity and economic growth.

More than 30 companies have also committed to sharing data and experiences related to workplace AI adoption to help inform future policy development.

The UK government said the strategy seeks to increase AI adoption across businesses while ensuring workers gain the skills needed to benefit from technological change. Alongside public investment, several technology companies announced additional commitments focused on training, workforce development, research and business support.

Why does it matter?

Governments are increasingly shifting their focus from supporting AI research alone to encouraging widespread adoption across businesses and public services. Many policymakers see AI deployment as a key driver of productivity, competitiveness and economic growth, provided organisations and workers have the skills needed to use the technology effectively.

The UK’s initiative reflects this broader trend by combining investment in AI adoption with workforce development and evidence-based policymaking. The creation of the AI Economics Institute also signals growing interest in understanding how AI will affect jobs, productivity and economic performance as adoption accelerates.

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UAE laboratory introduces AI-powered prostate cancer diagnostics

M42’s National Reference Laboratory has introduced an AI-powered tool for prostate cancer diagnostics in the UAE in partnership with digital pathology company Qritive. The platform will be integrated into the laboratory’s diagnostic workflow at Cleveland Clinic Abu Dhabi.

The system analyses digital pathology slides, highlights suspicious findings and provides structured insights to help pathologists detect prostate cancer and assess disease severity. It is designed to identify cancerous tissue, assess tumour patterns, support grading according to internationally recognised standards and measure tumour burden.

M42 said the technology is intended to assist medical professionals rather than replace them, with final clinical decisions remaining the responsibility of physicians. The company said AI can help pathologists make complex decisions more efficiently, reduce interpretation variation, and support better patient outcomes.

NRL said the platform could help healthcare providers manage growing diagnostic demand while giving patients and clinicians faster access to critical information. Prostate cancer remains a growing health concern in the Middle East, with officials citing an estimated 50,000 new cases diagnosed each year.

The introduction of the platform forms part of NRL’s wider strategy to strengthen oncology services and expand the use of digital pathology and AI-enabled diagnostics. Officials said the initiative supports the UAE’s broader objectives of advancing healthcare innovation, improving patient outcomes and building a more data-driven health system under UAE Vision 2031.

Why does it matter?

AI-assisted diagnostics are increasingly being adopted to help healthcare professionals manage growing workloads, improve consistency in clinical assessments and accelerate access to diagnostic results. In pathology, AI tools can help identify patterns in medical images and support decision-making, particularly in areas where demand for specialist expertise is rising.

The deployment also reflects the UAE’s broader strategy of integrating AI into healthcare services as part of its digital transformation agenda. As healthcare systems seek to improve efficiency and patient outcomes, AI-enabled diagnostics are becoming an increasingly important component of modern medical practice.

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Malaysian PM urges ethical AI development

Malaysian Prime Minister Datuk Seri Anwar Ibrahim has called for AI development to be guided by humanity, ethics and moral values, arguing that technological progress should serve society and uphold human dignity.

Speaking during a special lecture at the University of Tokyo, Anwar said AI and other emerging technologies could transform economies, improve public services and enhance quality of life. However, he stressed that innovation should be shaped by strong ethical principles rather than technological capability alone.

According to Anadolu Agency, Anwar said AI development should be guided by justice, accountability and compassion. He added that governments, researchers and businesses share responsibility for ensuring that technology strengthens social cohesion and supports the common good.

The Malaysian prime minister also called for stronger international cooperation to manage the opportunities and risks linked to rapid technological change. He said countries should work together to promote inclusive and sustainable development while safeguarding ethical standards.

Why does it matter?

AI governance debates are increasingly moving beyond technical safety and economic competitiveness towards questions of values, accountability and public interest. Anwar’s remarks are not a new regulatory measure, but they reflect how governments in Asia are framing AI as a societal and diplomatic issue, with ethics, inclusion and international cooperation becoming recurring policy themes.

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Philippine House passes anti-disinformation bill on final reading

The House of Representatives of the Philippines has approved the proposed Digital Media Anti-False Information Act on its third and final reading.

According to the House’s Press and Public Affairs Bureau, the measure passed with 286 votes in favour, three against, and seven abstentions.

The bill seeks to address organised disinformation campaigns, troll farms, bot networks, fake account syndicates, and foreign-backed influence operations. It also covers AI-generated or manipulated content that is released without disclosure and intended to mislead the public.

Individuals found guilty of knowingly spreading false information that causes verifiable public harm or threatens national security could face six to 12 years in prison and fines ranging from PHP 500,000 to PHP 2 million.

The measure would require digital platforms operating in the country to maintain a legal presence and meet transparency standards.

The House said the bill includes protections for freedom of expression, including political opinions, criticism of government, journalism, satire, academic discourse, artistic expression, and whistleblowing.

It also calls for stronger media and digital literacy programmes through the Department of Education and the Commission on Higher Education.

Why does it matter?

The bill shows how governments are trying to address organised disinformation, bot networks, fake accounts, and AI-generated manipulation through platform rules and criminal penalties. The Philippines case is especially important because it combines anti-disinformation enforcement with explicit free-expression safeguards, but the severity of the penalties means implementation and interpretation will be closely watched

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US unveils new strategy to accelerate AI adoption in national security

The Trump administration has issued a new National Security Presidential Memorandum aimed at accelerating the adoption of AI across the US national security apparatus.

According to the White House, the framework is intended to ensure that military personnel, intelligence professionals and national security agencies have access to advanced AI systems while maintaining accountability and operational control.

The memorandum directs federal agencies to expand the use of commercial and open-source AI technologies in support of national security missions. It also calls for investment in next-generation secure computing infrastructure capable of supporting increasingly advanced AI models and computational workloads.

The memorandum also proposes the creation of an AI National Security Strategic Reserve, bringing together leading non-governmental experts to support national security priorities.

The new framework places emphasis on accountability, reliability and command authority. The White House emphasised that agency leaders and military commanders will remain accountable for decisions and operations supported by AI systems.

Why does it matter?

AI is increasingly viewed as a strategic capability across defence, intelligence, cybersecurity and military planning. Governments are investing heavily in AI systems that can enhance analysis, decision support, operational planning and threat detection.

The memorandum signals Washington’s intention to accelerate the integration of AI into national security operations while maintaining human oversight and accountability. It also reflects broader geopolitical competition over advanced technologies, as major powers seek to secure advantages in AI-driven security capabilities.

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UK project tests how legal data can support AI use in government

The UK Government Digital Service has highlighted data maturity as a key requirement for preparing public sector data for AI use.

The findings come from a project conducted with The National Archives, part of GDS’s wider work to ensure public sector data is managed as a strategic national asset.

During a discovery phase completed in April 2026, the organisations assessed whether legal data, including legislation and case law, could be prepared for AI applications. The work focused on governance, data quality, organisational readiness, and the risks of exposing government data to AI systems, rather than building a specific AI tool.

GDS found that The National Archives’ legal data is already close to AI-ready, thanks to high data quality, strong leadership, relevant skills, and mature governance practices. It said that good data alone is not enough; public sector organisations also need the right people, processes, and culture to use data safely, ethically, and responsibly.

The project also identified the evaluation and validation of AI-generated outputs as a significant future opportunity for the government. GDS said public bodies could add value by developing tools and standards to assess whether AI outputs are trustworthy, rather than replicating services already developed by major technology companies.

The next phase will explore how data maturity can reduce the risks of using AI with public sector data. It will also examine technologies such as the Model Context Protocol, an open-source standard for connecting AI applications to external systems, including databases, tools, and documents.

Why does it matter?

The project shows that AI readiness in government depends on more than deploying new tools. Public bodies need high-quality data, strong governance, clear accountability, and the ability to evaluate AI-generated outputs before relying on them in services that affect citizens and businesses. The work also points to a useful role for government: setting standards for trustworthy AI outputs, rather than simply building public-sector versions of commercial AI products.

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