The Kenya Defence Forces (KDF) has completed the Service Members Basic Artificial Intelligence Course 01/26, a training programme aimed at strengthening AI capabilities among military personnel. The course concluded with a graduation ceremony at the National Military Command Centre in Nairobi.
Delivered by the Defence Intelligence Academy in partnership with the Moran AI and Cyber Centre of Excellence and other technology partners, the programme provided participants with foundational knowledge of AI and emerging technologies. The course aimed to equip participants with practical skills relevant to increasingly data-driven security and defence environments.
According to KDF, the initiative supports broader efforts to modernise military capabilities and prepare personnel for the growing role of data, automation and digital technologies in defence operations. Officials described technological literacy as an increasingly important competency in modern military service.
The programme forms part of KDF’s wider strategy to strengthen digital skills and innovation capacity. The military said the programme also supports regional cooperation and technological capacity development through partnerships with institutions across Africa.
Why does it matter?
AI is increasingly influencing defence planning, intelligence analysis, logistics and operational decision-making. As armed forces around the world integrate data-driven technologies into their activities, developing AI literacy and digital skills among personnel is becoming a strategic priority.
The KDF initiative reflects a broader trend in which military organisations are investing in AI-related capacity building to ensure personnel can effectively understand, manage and operate alongside emerging technologies while supporting long-term defence modernisation efforts.
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Canada’s Cyber Centre has warned that the FIFA World Cup 2026 will almost certainly attract cyber threat activity from cybercriminals, non-state actors and state-sponsored actors.
The tournament will run from 11 June to 19 July 2026 across Canada, the US and Mexico, with 104 matches in 16 cities. The Cyber Centre said the event’s global visibility, complex supporting infrastructure and broad ecosystem of suppliers and services create a large attack surface.
According to the bulletin, cybercriminals are expected to exploit public interest in the tournament through phishing, social engineering, ticket scams, fraudulent travel offers, fake livestreaming services, malicious apps and other forms of online fraud. The Cyber Centre cited research identifying more than 4,300 likely fraudulent domain registrations linked to the tournament as of August 2025.
Organisations connected to the event, including travel, hospitality, ticketing, broadcasting, telecommunications, utilities and transport providers, could also face ransomware, distributed denial-of-service attacks and website defacement. The Cyber Centre said attackers may target entities in the wider tournament ecosystem to maximise publicity, even when their targets are not part of the core World Cup infrastructure.
The bulletin also warned that threat actors are very likely to use the event for disinformation and influence activity, including campaigns involving AI-generated articles, images, videos and deepfakes. It found that there is roughly an even chance of disruptive state-sponsored cyber activity, depending on geopolitical tensions involving host nations or participating countries.
Canadian authorities urged fans, attendees, athletes, government officials and organisations linked to the tournament to strengthen cybersecurity practices and prepare for scams, disruptive attacks and information manipulation during the event.
Why does it matter?
The bulletin treats the World Cup as more than a sports event. It frames major tournaments as digitally dependent public safety environments involving ticketing systems, broadcasters, transport networks, hotels, mobile communications, local authorities and critical infrastructure. Cyber incidents during such events can cause financial loss, service disruption, data exposure, emergency communication risks and information manipulation, making cybersecurity part of event resilience and public trust.
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The Commission framed the initiative as a fundamental shift in the EU’s approach to technology, underpinned by the recognition that digital dependence is no longer a market inefficiency to be tolerated, but a strategic vulnerability to be corrected through legislation.
Commission President Ursula von der Leyen stated that Europe cannot afford to depend on others for the technologies that keep its hospitals running, its energy grids stable, and its services secure, calling on the EU to convert its research excellence, industrial base and single market into technological sovereignty.
The package is designed to broaden choice in core technologies for EU businesses, citizens and public administrations, and to position Europe to capture a larger share of a global semiconductor market projected to reach EUR 1.37 trillion by 2030, with AI-related components accounting for roughly 70% of that growth.
The timing reflects a specific convergence of pressures. The rapid spread of AI applications is driving a sharp increase in demand for data centre and cloud capacity that EU infrastructure cannot currently meet at scale. At the same time, longstanding dependence on non-EU suppliers for advanced semiconductor manufacturing, chip design and cloud services has become increasingly difficult to ignore as geopolitical tensions have demonstrated the economic risk of concentrated supply chains.
The 2022 US CHIPS and Science Act, generous subsidy regimes in Asia and tightening export controls on advanced semiconductor equipment have accelerated the global race for technological self-sufficiency, prompting Europe to adopt a more active industrial policy response.
Chips Act 2.0
The Chips Act 2.0 revises and expands the 2023 European Chips Act, which has mobilised more than EUR 52 billion in public and private investment, created an estimated 46,000 direct and indirect jobs and strengthened Europe’s research and innovation capacity in semiconductors. Despite this progress, the EU remains dependent on third countries for advanced chip manufacturing and semiconductor design.
The revised regulation is designed to accelerate Europe’s position across the entire semiconductor value chain, from raw materials and design to manufacturing and packaging, and to ensure that Europe captures a greater share of the growth in AI-related chip demand.
The proposal is structured around four objectives. On investment and competitiveness, the Act would cap permitting approvals at 12 months, introduce ‘Grand Challenges’ to support the development of strategically important chip types such as AI processors, and formalise Strategic Partnerships on Semiconductors with international allies.
To stimulate demand, it establishes Demand Accelerators to align new products with industry needs, expands innovation procurement, notably for European start-ups and scale-ups, and creates structural synergies with CADA to benefit from the data centre and AI Gigafactory buildout planned under that regulation.
On the supply side, the Act enables state aid for ‘First-of-a-Kind’ facilities not yet present in the Union, covering the full semiconductor value chain, designates strategic projects to unlock EU and member state co-investment, and creates a ‘Semiconductor Regions of Excellence’ label to attract investment at the regional level. To strengthen resilience, it establishes a business-to-business semiconductor supply chain platform and provides sector-specific guidance on risk assessment and mitigation.
The explicit linkage between Chips Act 2.0 and CADA reflects a deliberate industrial logic: European-made chips powering European cloud infrastructure, with demand from that infrastructure in turn supporting European chipmakers.
Cloud and AI Development Act
The Cloud and AI Development Act (CADA) forms a central part of the Commission’s AI Continent Action Plan and simultaneously addresses two structural problems: insufficient EU cloud and data centre capacity to meet AI-driven demand, and strategic dependence on a small number of non-EU cloud providers.
The Act is designed to facilitate and accelerate the deployment of sustainable cloud and data centre infrastructure, while ensuring the EU accelerates the rollout of cloud and AI in critical sectors and retains meaningful control over the infrastructure on which that rollout depends.
The Act focuses on three main areas. On research, development and innovation, it supports next-generation cloud and AI technologies, including frontier AI, industrial AI, and physical AI, introduces grand challenges to drive R&D efforts, and promotes adoption in strategic sectors through national cloud and AI strategies and new Experience and Acceleration Centres for AI in member states.
On capacity, it targets at least a tripling of EU data centre capacity within five to seven years, simplifies and accelerates permitting, and improves access to energy, land, water and financing. On sovereignty and autonomy, it establishes a single EU-wide sovereignty classification framework, promotes open source solutions as a tool for resilience, and introduces a common EU-level procurement framework for public administrations.
The sovereignty classification system merits particular attention. It introduces four assurance levels for cloud and AI services, to be applied by public sector bodies based on their own risk assessments. Level 1 requires data to be processed and stored within the EU. Level 2 requires providers to demonstrate independence from third countries and transparency over their software supply chain.
Level 3 requires providers to be owned and controlled from within the EU and to meet additional criteria including personnel citizenship, although the Commission retains the ability to recognise third-country providers at this level. Level 4 requires full transparency and control over the software supply chain with no third-country interference.
Cloud service providers seeking recognition under this framework must undergo an independent audit conducted by member state authorities. The framework is significant because it creates, for the first time, a legally grounded and progressive definition of what it means for a cloud service to be sovereign, moving the concept from political rhetoric to a procurement-relevant standard.
EU Open Source Strategy
The EU Open Source Strategy is the non-legislative pillar of the package most directly aimed at reducing dependence on proprietary, non-EU software. It places open source at the centre of the EU’s technological sovereignty approach, arguing that open ecosystems reduce supplier lock-in, increase transparency and give European developers and public administrations greater control over their digital infrastructure.
The strategy addresses a persistent structural weakness: the economic value generated by open source projects has historically been captured outside Europe, limiting the ability of European developers and companies to benefit fully from their own contributions.
The strategy is organised around four objectives. The first, Open Source for Tech Sovereignty, focuses on scaling the Open Internet Stack, a Commission-curated catalogue of EU-aligned open source solutions, and promoting alternatives to dominant proprietary products in areas such as cloud platforms, workplace tools, secure e-mail and decentralised social media.
The work will be carried out in cooperation with member states through the European Digital Infrastructure Consortium for Digital Commons. The second objective, Vibrant Open Source Ecosystem, targets start-up support through accelerators and procurement access, alongside a stewardship toolkit for critical open source assets and investment in digital skills across schools, universities, and civil services.
The third objective, Open Source in Public Administration, sets out procurement guidelines that favour open standards, reinforces the Commission’s Open Source Programme Office (OSPO) and the EU Public Sector OSPO Network, and seeks to embed openness and sovereignty-by-design in digital investment decisions across EU institutions and member states.
The fourth objective, Reinforced Standards and International Outreach, promotes EU open source developers and solutions internationally through the EU Tech Business Offer, supports uptake in partner countries and integrates open source communities into standardisation processes, including through a forthcoming revision of the EU Standardisation Regulation.
The strategy also intersects directly with the other package components. On semiconductors, it targets open hardware development through the Chips Joint Undertaking’s RISC-V programme. On AI, it supports the GenAI4EU initiative and promotes open source tooling for public sector AI adoption through the Apply AI Strategy.
On digital identity, it prioritises open source implementation of the European Digital Identity Wallet (EUDI Wallet) and the European Business Wallet. The strategy also interacts with the recently enacted Cyber Resilience Act (CRA), which imposes new security obligations on open source projects that have generated concern in the developer community. The Open Source Maintenance Instrument and critical dependency mapping exercises set out in the strategy are designed in part to address those obligations, though reconciling the CRA’s security requirements with the growth objectives of the strategy will be a key implementation challenge.
Strategic Roadmap for Digitalisation and AI in Energy
The Strategic Roadmap for Digitalisation and AI in Energy is the least legally binding element of the package but arguably the one that determines whether its ambitions are physically realisable. The targets set by CADA, particularly the goal of at least tripling EU data centre capacity within five to seven years, cannot be achieved without a corresponding expansion in reliable, affordable power supply.
Data centres are energy-intensive by nature, and the AI workloads they are increasingly required to process are even more demanding. The roadmap addresses this constraint by setting out how AI and digital technologies can improve the efficiency and flexibility of Europe’s energy systems while also enabling the energy infrastructure that these systems need.
The roadmap connects the package’s digital ambitions to the EU’s energy transition objectives, creating a mutually reinforcing relationship: cleaner, smarter energy systems create more viable conditions for data centre expansion, while AI-enabled demand management and grid optimisation tools reduce the cost and environmental impact of that expansion. The roadmap is also relevant as a governance document, since the deployment of AI in critical energy infrastructure raises its own questions about cybersecurity, data sovereignty and the concentration of control over systems on which entire economies depend.
Governance and policy implications
The Tech Sovereignty Package raises several governance issues that extend beyond its immediate legislative content. The most significant concerns the model it establishes for EU industrial policy. The package marks a clear departure from the long-standing assumption in EU competition policy that market mechanisms and trade openness are the primary tools for achieving efficient and innovative technology markets.
The explicit use of state aid for strategic semiconductor projects, the joint procurement frameworks in CADA and the deliberate promotion of EU-origin suppliers both in public procurement and sovereign cloud classification illustrate a greater role for public intervention in the technology sector. Whether the EU’s trading partners, particularly the United States and major Asian semiconductor producers, will treat these provisions as proportionate industrial policy or as market-distorting intervention is likely to become a significant diplomatic issue.
The package also has important implications for the governance of AI in Europe. It operates in parallel to the EU AI Act and the work of the EU AI Office, but addresses a different layer of the AI ecosystem. While the AI Act focuses on the risk profile and compliance obligations of AI systems once deployed, the Tech Sovereignty Package governs the infrastructure and supply chains that enable AI development in the first place.
The relationship between the two frameworks matters as decisions taken at the infrastructure layer, such as the cloud sovereignty level applied to a given public sector AI deployment, can have downstream consequences for compliance with AI Act requirements. The relationship between these frameworks will be an important area to monitor as implementation progresses.
A further coordination challenge arises internally. The package spans multiple policy domains and directorates-general within the Commission, including DG CONNECT for semiconductors, cloud and open source, and DG ENERGY for the energy roadmap.
It also interacts with DG COMP on State aid approvals and with DG TRADE on the trade implications of sovereignty-oriented procurement rules. Ensuring coherence across these areas during the legislative process, and subsequently during implementation, will require stronger-than-usual inter-institutional coordination.
Legislative process and upcoming milestones
The two legislative proposals, the Chips Act 2.0 and CADA, need to enter the ordinary legislative procedure, meaning they will be negotiated separately by the European Parliament and the Council of the European Union before trilogue negotiations between the two institutions and the Commission can begin.
Given the political and economic stakes involved, and the number of member states with competing interests in semiconductor investment locations and cloud market access, the negotiations are likely to be protracted. The original European Chips Act took approximately two years from proposal to final adoption, and CADA, which touches on the politically sensitive question of digital sovereignty vis-à-vis key trading partners, may encounter comparable friction.
Several near-term milestones are already in view. The Commission is expected to launch a call for AI Gigafactories in July 2026, following the European High Performance Computing Joint Undertaking (EuroHPC JU) Governing Board’s agreement in principle on 1 June 2026. AI Gigafactories are large-scale, purpose-built AI training facilities and represent one of the most concrete and immediately actionable elements of the broader AI infrastructure agenda.
Their deployment is intended to provide European researchers, start-ups and industry with access to the kind of computing capacity currently concentrated in the United States, and the July call will be an early test of the Commission’s ability to move from legislative ambition to operational delivery.
The Commission will also launch a consultation with member states, the European Investment Bank Group and other key stakeholders to design a European equity capacity at scale for financing tech sovereignty ambitions. This implies that the Commission does not believe grant funding and state aid alone will be sufficient to mobilise the investment required, and that a blended finance model, combining public equity with private capital, will be needed.
The EIB Group’s involvement points towards the kind of risk-sharing instruments it has used in other strategic sectors, although the specific structures and governance arrangements have yet to be designed through the consultation process.
Broader context
The package does not emerge in isolation. It sits within a cluster of interconnected EU strategic frameworks that have, over the past two to three years, progressively shifted the EU’s economic policy stance from market liberalisation towards what the Commission calls ‘open strategic autonomy’: the maintenance of trade openness where possible, combined with targeted interventionism to reduce strategic dependencies where necessary.
The Competitiveness Compass, adopted earlier in 2025 and drawing heavily on the 2024 Draghi report on European competitiveness, identifies reducing strategic dependencies as one of three pillars for restoring European economic dynamism. The Tech Sovereignty Package is the most operationally specific expression of that pillar to date.
The Economic Security Strategy, adopted in 2023, provided the risk-assessment framework within which the package sits, identifying advanced semiconductors, AI, quantum computing and biotechnology as the technological areas posing the most significant dual-use and strategic dependency risks for the EU. The Tech Sovereignty Package translates that risk assessment into concrete legislative and policy instruments, with semiconductors and AI infrastructure receiving the most direct regulatory attention.
The Commission’s AI Continent Action Plan, which positions Europe to become a global AI leader by focusing on computing infrastructure, data, skills, and adoption, provides the most direct policy antecedent for CADA in particular. The Tech Sovereignty Package fast-tracks the infrastructure ambitions of the Action Plan and adds the supply chain governance dimension that the Action Plan did not fully address.
Taken together, these documents represent a sustained and internally consistent shift in EU digital and industrial policy, one in which technological leadership is treated not merely as an economic aspiration but as a precondition for political and regulatory autonomy in an increasingly contested global technological order.
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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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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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The UK government will develop and test AI legal assistants as part of a broader set of technology initiatives aimed at reducing court delays and improving the efficiency of the justice system. The Ministry of Justice said the tools will support routine casework, including research and case analysis, before any possible use in the Crown Court.
The AI legal assistants will be developed in collaboration with legal professionals and AI developers, with initial testing taking place in controlled environments. The government said the trials will help establish standards for the safe and ethical use of AI in legal settings and ensure any future systems meet the expectations of judges and legal practitioners before wider deployment.
Judges are also preparing to test an AI tool designed to identify trial-ready cases and group similar hearings together. The government said the tool is intended to better use judicial, prosecutorial, and court resources, helping cases move more quickly for victims.
The announcement also covers Justice Transcribe, an AI tool now available to every probation officer in England and Wales. The tool records and transcribes conversations with offenders, reducing the administrative burden associated with transferring handwritten notes into digital systems.
According to the government, Justice Transcribe could free up the equivalent of 18,750 days annually, enabling probation officers to spend more time supervising offenders and supporting efforts to reduce reoffending. A similar transcription tool is being trialled in Immigration and Asylum Tribunals to support judges with case notes and reduce administrative pressure.
The projects form part of the Prime Minister’s AI Exemplars programme, which aims to accelerate the adoption of AI across public services. The government also pointed to AI Growth Labs, secure testing environments intended to help the UK lawtech sector develop and refine AI products before bringing them to market.
Why does it matter?
Justice systems around the world are exploring how AI can help address growing caseloads, administrative burdens and resource constraints. Applications such as legal research assistance, transcription services and case management tools have the potential to improve efficiency while allowing legal professionals to focus on higher-value tasks.
At the same time, the use of AI in judicial and legal contexts raises important questions about accountability, transparency, fairness and human oversight. The UK’s emphasis on controlled testing and ethical safeguards reflects growing recognition that AI deployment in the justice sector requires robust governance alongside technological innovation.
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The EDIH Summit 2026 will take place in Brussels on 9 and 10 June, bringing together the European Digital Innovation Hubs (EDIH) network, EU institutions, Member States, AI infrastructures initiatives and innovation stakeholders. The event will focus on how Europe’s AI innovation ecosystem functions in practice.
The summit comes as the European Union increasingly shifts its focus from AI policymaking towards implementation and adoption. With the AI Act in force, the AI Continent Action Plan adopted, and the Apply AI Strategy underway, organisers say attention is turning to whether SMEs and public administrations can access infrastructure, expertise and practical support needed to adopt AI effectively.
Sessions will explore how European Digital Innovation Hubs connect organisations with other components of the EU AI innovation ecosystem, including AI Factories, Testing and Experimentation Facilities (TEFs) and regulatory sandboxes. Discussions will also address common tools, assessment frameworks, and approaches that can be scaled across regions and sectors.
The programme will also examine how support structures may need to evolve as generative and agentic AI reshape organisational requirements and expectations. The EDIH Summit will also examine the evolving role of EDIHs as AI experience centres, acting not only as access points but as guides within a changing technological and regulatory landscape.
Organisers said the summit is designed to encourage practical exchange, knowledge sharing and actionable outcomes. European Digital Innovation Hubs will be able to compare approaches, identify shared challenges, and contribute to discussions that will shape the network’s priorities for the year ahead.
Why does it matter?
As the European Union moves from developing AI regulations to encouraging widespread adoption, questions increasingly focus on implementation rather than policy design. Many SMEs and public administrations continue to face challenges accessing expertise, testing facilities, funding and trusted guidance for deploying AI solutions.
The EDIH Summit reflects the EU’s broader effort to build a connected AI ecosystem that links businesses and public-sector organisations with technical infrastructure, innovation support services and regulatory guidance. The discussions may help shape how Europe translates its AI ambitions into practical adoption and economic impact.
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Apple has unveiled the next generation of Apple Intelligence at WWDC26, introducing a significantly upgraded Siri designed to provide deeper personal context awareness, broader app integration and more advanced conversational capabilities.
The new assistant can search across messages, emails and photos, answer questions about on-screen content and access web information to provide more up-to-date responses while maintaining Apple’s privacy-focused approach.
Alongside its AI announcements, Apple announced major updates to parental controls and Screen Time features. Parents will be able to approve new contacts, manage app permissions more precisely and benefit from new safety features designed to respond when explicit or violent content is shared.
New screen time recommendations and scheduling tools are also intended to encourage healthier digital habits for children.
Software updates arriving later this year across Apple’s operating systems will also introduce a range of performance improvements.
Apple said app launches on iPhone and iPad are up to 30% faster, newly captured photos load up to 70% faster, and AirDrop transfers can be up to 80% quicker. Search functions across Spotlight, Photos, and Mail have also been redesigned to improve speed and accuracy.
Additional features include enhanced health tracking, expanded AirPods personalisation, improved Apple Watch functionality, cross-platform photo sharing through iCloud Shared Albums, and AI-powered upgrades to Apple Maps and Apple Vision Pro.
Public beta testing begins next month, with the full software release scheduled for autumn. Apple noted that some Apple Intelligence features will vary by device, language, and region, with regulatory requirements affecting availability in certain markets, including China and parts of the European Union.
Why does it matter?
Apple’s latest updates reflect a broader industry shift, especially towards embedding child safety and digital well-being features directly into operating systems, as governments and regulators worldwide increase scrutiny of how technology platforms protect young users online.
Enhanced parental controls, communication safeguards, and screen time management tools could help set new standards for online child protection, influencing future policies and product development across the technology sector.
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The in-house system, known as MedAgentBrief, was designed to condense complex patient histories into draft discharge summaries for physician review. Discharge summaries are essential for continuity of care, but can be time-consuming because doctors must summarise days or weeks of clinical information for outpatient providers.
The tool was piloted for 10 weeks at a Stanford Health Care unit at Sequoia Hospital. Eleven physicians received secure daily emails containing AI-generated summaries for each of their patients, using a format based on a best-practice discharge summary template.
Doctors were asked to review the summaries and provide feedback on inaccuracies, omissions, hallucinations and potential harm. Feedback on 100 AI-enabled summaries found omissions in 25% and inaccuracies in 20%, while hallucinations were rare at 2%.
Physicians rated most unedited summaries as having no harm potential, while some were judged to have mild harm potential. One summary was initially rated as likely to cause moderate harm, but independent reviewers later determined that it posed no risk. No severe harm was reported.
The pilot did not show large time savings. Physicians felt they saved more than 10 minutes per discharge summary, but electronic medical record logs suggested the actual savings were modest, at around three minutes at best. Researchers said the benefit may have come from reducing the effort required to write summaries from scratch.
Participating physicians also reported lower burnout scores. Researchers said the findings suggest AI-generated discharge summaries can support clinical documentation when used under physician supervision, while further evaluation will be needed as health systems consider vendor-based tools.
Why does it matter?
The pilot is useful because it focuses on a practical, high-friction healthcare workflow rather than a speculative AI use case. Discharge summaries affect continuity of care, and poor documentation can create risks for patients after they leave the hospital. Stanford’s findings suggest AI may help reduce doctors’ cognitive load, but also show why human review remains essential: omissions and inaccuracies were common enough that the tool should be treated as clinical support, not automation.
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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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