Artificial intelligence Archives | Page 15 of 680

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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Belgium outperforms EU average in business AI use

Belgium ranks among Europe’s top five countries for business use of AI, with more than a third of companies now using at least one AI technology.

In 2025, 34.54% of Belgian companies reported using AI, up from 24.71% in 2024. The figure is well above the European average of 19.95%, according to the latest Belgian Digital Economy Overview.

Adoption varies strongly by company size. More than 76% of large enterprises already use AI technologies, compared with just over 28% of small businesses.

The most common business applications include text analysis, content production (written or spoken), machine learning, and workflow automation. Companies mainly use AI for administrative and management processes, accounting and finance, and marketing and sales.

AI use is also rising among individuals. In 2025, 33.53% of Belgians used generative AI tools for personal use, compared with the European average of 25.09%.

Digitalisation Minister Vanessa Matz said Belgium should build on the momentum with a coherent strategy that strengthens expertise, supports talent, improves access to European technological capabilities, and builds trust.

She also stressed that AI development should take place within a clear, protective, and inclusive framework that respects privacy, prevents bias, and avoids widening inequalities.

Why does it matter?

Belgium’s AI uptake shows that business adoption is no longer limited to experimentation, especially among large companies. The gap between large enterprises and small businesses also matters, because uneven adoption could widen productivity differences inside the economy. The policy challenge is to support broader AI use while building safeguards around privacy, bias, skills, and inclusion.

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UK to launch national centre for AI in policing

The UK government is preparing to formally launch PoliceAI, a national centre dedicated to AI in policing, later this month. The centre began mobilising in April 2026 and will support police forces in England and Wales with the responsible adoption of AI and automation.

The government says the use of AI in policing must be lawful, ethical and transparent, supported by robust algorithmic assessments before deployment. It also emphasises that accountability for AI performance and the use of AI-generated outputs must be clearly defined through operational procedures and governance frameworks.

PoliceAI will be hosted by the College of Policing and funded through a Home Office grant under Section 57 of the Police Act 1996. The centre is expected to coordinate AI-related activity across police forces, helping to reduce duplication, improve consistency and strengthen public confidence.

PoliceAI will include an AI Lab responsible for developing, testing and evaluating AI tools, products and services for policing applications. It will assess commercial products and open-source models, benchmark their performance in a UK policing context, run sandbox testing, and support more informed procurement and deployment decisions by Chief Officers.

PoliceAI will also support forces with adoption, guidance, procurement, training, and business change. A dedicated strategy and oversight function will also maintain a public registry of AI models used in operational policing, including details of testing, governance checks and deployment safeguards.

Initial priorities include case file assistants, disclosure assistants, crime data integrity tools, rapid analysis of CCTV and digital media, image identification and classification, governance for Copilot use, transcription and translation tools, and possible AI applications for retail crime and tool theft. A Policing AI Threat Hub will support efforts to address criminal misuse of AI, including the detection of deepfakes and AI-generated false evidence.

Why does it matter?

Police forces are increasingly exploring AI tools to support investigations, administrative tasks, evidence analysis and operational decision-making. However, the use of AI in law enforcement raises important questions about transparency, accountability, bias, public trust and oversight.

PoliceAI represents an effort to create a more coordinated approach to AI adoption across policing in England and Wales. By providing testing, governance, training and public transparency mechanisms, the centre aims to help police forces deploy AI technologies more consistently while addressing concerns about their responsible use.

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European Commission welcomes the new G7 cybersecurity declaration

The European Commission has welcomed a new G7 Cybersecurity Working Group Declaration aimed at strengthening international cooperation in response to growing cyber threats.

Adopted under France’s G7 Presidency, the declaration calls for coordinated action to address cybersecurity challenges associated with quantum computing, AI, telecommunications infrastructure, and the protection of small and medium-sized enterprises (SMEs).

One of the declaration’s central priorities is accelerating the transition to post-quantum cryptography. As quantum computing capabilities continue to advance, governments and industry are being urged to accelerate preparations for new encryption standards capable of resisting future quantum attacks. The declaration describes migration to quantum-resistant encryption as an urgent cybersecurity priority that organisations should begin addressing now.

AI is another major focus of the declaration. The G7 declaration recognises that AI can both strengthen and threaten cybersecurity. Concerns include AI-enabled cyberattacks, model manipulation, data breaches, and software vulnerabilities.

The European Commission noted that it is preparing an action plan on AI and cybersecurity to help Member States and businesses address emerging risks while strengthening Europe’s cyber resilience.

The declaration also emphasises the importance of resilient telecommunications infrastructure and stronger protection for SMEs. Building on initiatives such as the NIS2 Directive and the Cyber Resilience Act, the EU said it will continue working with international partners to strengthen cybersecurity standards, protect critical infrastructure and support organisations facing increasingly sophisticated cyber threats.

Why does it matter?

The declaration reflects growing international recognition that cybersecurity challenges are increasingly transnational and require coordinated responses. Emerging technologies such as AI and quantum computing are creating new opportunities for innovation, but also introducing new vulnerabilities that could affect governments, businesses and critical infrastructure.

The emphasis on post-quantum cryptography is particularly significant, as organisations worldwide face the long-term challenge of protecting sensitive data against future quantum-enabled attacks. The declaration also highlights the growing importance of international cooperation in building cyber resilience and securing digital ecosystems.

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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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United Kingdom launches AI Growth Lab to support legal sector innovation

The UK government has launched an advisory AI Growth Lab to support responsible AI adoption in regulated industries, starting with the legal services sector.

The Ministry of Justice said the advisory sandbox is designed to accelerate the development and deployment of AI products and services by helping innovators navigate existing regulatory frameworks with greater confidence.

Legal services will be the first sector to participate, following strong industry demand for clearer and more coordinated regulatory guidance. The Lab will bring together the Council for Licensed Conveyancers, the Solicitors Regulation Authority, the Information Commissioner’s Office, and the Legal Services Board.

The participating regulators will work with innovators to identify cross-regulatory challenges, address unintended barriers in existing rules, and develop a clearer understanding of what effective AI oversight looks like in practice.

The initiative will support AI innovators, LawTech companies, legal service providers, and conveyancing firms as they test AI products within current regulatory frameworks. Applications are expected to open later this summer.

The government said the Lab aims to support responsible innovation, economic growth, and improved access to justice by enabling faster and more affordable legal services while maintaining quality.

Participation in the Lab will not amount to regulatory approval, endorsement, or authorisation, and existing legal and regulatory requirements will remain unchanged.

Why does it matter?

The Lab reflects the UK’s preference for structured, regulator-led experimentation rather than immediate new AI-specific legislation for every sector. Legal services are a useful test case because AI tools could improve access to justice and reduce costs, but they also raise questions around professional duties, data protection, accountability, confidentiality, and consumer protection. The initiative could help identify where existing rules create uncertainty for AI adoption without lowering regulatory standards.

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China brings AI into advanced ocean forecasting systems

China has unveiled LangYa 2.0, an upgraded AI-powered ocean forecasting system designed to predict complex marine phenomena with greater precision and detail. The model was unveiled at the Fourth China Digital Earth Conference in Qingdao and represents a step forward from earlier ocean monitoring tools.

Developed by the Institute of Oceanology at the Chinese Academy of Sciences, the system goes beyond monitoring variables such as temperature and salinity to forecast high-impact events, including typhoons, storm surges, extreme rainfall, internal waves, mesoscale eddies, and sea ice.

The platform combines specialised AI sub-models trained on diverse datasets and informed by physical ocean processes.

LangYa 2.0 is designed to provide decision-support information for applications including disaster preparedness, maritime safety, polar navigation and climate adaptation. The system can simulate rapid typhoon intensification and sudden track shifts, while also forecasting hidden ocean dynamics that may impact offshore infrastructure.

According to researchers, the model ranked first in a 2025 international Arctic sea ice forecasting evaluation, highlighting its potential for polar forecasting applications. Researchers are exploring ways to expand the system into broader climate and ecological modelling, with the aim of supporting future marine intelligence and environmental monitoring platforms.

Why does it matter?

Accurate ocean forecasting plays a critical role in disaster preparedness, maritime safety, climate adaptation and the protection of coastal infrastructure. AI-based systems can process large volumes of environmental data more quickly and identify complex patterns that may be difficult to capture using traditional forecasting methods alone.

LangYa 2.0 also reflects a broader trend towards using AI in Earth system science. As climate-related risks become more frequent and complex, governments and researchers are increasingly investing in AI-driven tools to improve environmental monitoring, risk assessment and decision-making.

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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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