Artificial intelligence Archives | Page 25 of 713

Ireland introduces AI Bill to implement EU AI Act

Ireland’s government has introduced the Regulation of AI Bill 2026, with Digital Transformation Minister Niamh Smyth describing the legislation as essential to protecting citizens while supporting innovation during its Second Stage debate in the Dáil.

The Bill is intended to give full effect to the EU AI Act in Ireland by establishing the national institutions needed to supervise and enforce the regulation ahead of the EU implementation deadline of 2 August 2026.

A central element of the Bill is the establishment of the AI Office of Ireland as an independent statutory body. The office will act as Ireland’s national point of contact with the European Commission and other member states, oversee enforcement of the AI Act, promote AI literacy and innovation, and operate a regulatory sandbox for start-ups and small and medium-sized enterprises.

Smyth acknowledged both the opportunities and risks presented by AI, highlighting advances in areas such as healthcare and scientific research while warning that, without appropriate safeguards, the technology could reinforce discrimination, manipulate behaviour and exploit vulnerabilities. She emphasised that the Bill is an implementing measure and does not introduce obligations beyond those already established by the EU AI Act.

Smyth also said the legislation would strengthen Ireland’s position as an ‘EU centre of excellence and digital regulatory hub‘. She argued that a robust enforcement framework would provide businesses with the regulatory certainty needed to invest and innovate, with the government seeking passage of the Bill before the August deadline.

Why does it matter?

Ireland’s implementation of the EU AI Act carries particular significance because many of the world’s largest technology companies base their European operations there. The establishment of an independent AI Office with enforcement responsibilities and a regulatory sandbox positions Ireland as a key player in applying the EU’s AI rules in practice.

The legislation also illustrates the broader challenge facing EU member states as the AI Act enters into force. Governments must rapidly establish the institutions, expertise and enforcement mechanisms needed to supervise AI systems while providing businesses with regulatory certainty and supporting continued innovation.

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Pax Silica expands with new AI partnership, supply chain initiatives, and workforce programme

The United States has announced a series of new initiatives under the Pax Silica partnership aimed at strengthening AI supply chain security, expanding international cooperation on AI, and supporting advanced manufacturing capabilities among participating economies.

The announcements were made following the 2026 Pax Silica Summit, the second meeting of the initiative launched by the US Department of State in December 2025. Pax Silica focuses on strengthening economic security and resilient supply chains across sectors, including semiconductors, critical minerals, advanced manufacturing, energy inputs, AI, and digital infrastructure, through cooperation among participating countries.

One of the summit’s principal outcomes was the signing of a Joint Statement on AI Opportunity by the United States and nearly three dozen partner economies. According to the US Department of State, the statement promotes a pro-innovation and pro-growth approach to AI governance while emphasising secure AI supply chains and support for startups, developers, and private-sector innovation. Signatories include countries from Europe, the Indo-Pacific, the Middle East, and Latin America, including Australia, Germany, India, Japan, the Republic of Korea, Singapore, the United Kingdom, and the United States.

The summit also expanded the Pax Silica partnership itself. Ten additional participants, including Argentina, Chile, Costa Rica, El Salvador, the European Union, Germany, Greece, Kazakhstan, the Netherlands, and Panama, joined the initiative, bringing the total number of signatories to 24. Taiwan continues to support the initiative’s principles through a separate joint statement on economic security cooperation with the United States.

Another announcement focused on strengthening the security and transparency of AI supply chains. The US Department of State plans to launch a competitive funding programme for a pilot AI Assistance Project in Panama to develop an AI supply chain credentialing and provenance platform. According to the Department, the proposed platform would integrate with customs authorities, ports, and logistics systems to help verify and facilitate shipments of semiconductors, AI infrastructure, critical minerals, and other strategic goods. If successfully implemented in Panama, the project could later be expanded to additional Pax Silica partners.

The summit also introduced Foundry School, a workforce development initiative established jointly by the US Department of State and Stanford University. The programme will begin with seminars at Stanford for entrepreneurs and industrial leaders and will be complemented by an advanced manufacturing curriculum that participating educational institutions across Pax Silica economies will be able to adopt. The initiative aims to strengthen expertise in advanced manufacturing, recognising its growing importance for both economic competitiveness and technological development.

Pax Silica reflects broader government efforts to strengthen resilience across AI-related supply chains as geopolitical competition increasingly intersects with technological development. In recent years, countries have introduced a range of policies covering semiconductor production, critical minerals, export controls, and trusted technology partnerships, while also seeking to balance innovation with economic and national security considerations.

The summit’s outcomes indicate that Pax Silica is evolving beyond a policy dialogue into a broader cooperation framework encompassing AI governance, supply chain security, industrial capacity, and workforce development. Whether the initiatives announced at the summit expand beyond their initial pilot phase will depend on implementation by participating governments and continued international cooperation among partner economies.

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Altman proposes US-led international forum for AI safety standards

OpenAI CEO Sam Altman has called for the creation of a US-led international forum to establish global safety standards for AI, arguing that no single country or company should dominate the governance of increasingly capable AI systems.

Writing in an opinion article published in the Financial Times, Altman proposed an international body bringing together governments, independent technical experts, and other stakeholders to develop accepted AI safety standards, provide impartial assessments of AI capabilities and risks, and make advanced AI technologies available to countries and organisations that participate in and comply with agreed rules.

According to Altman, such a forum could also serve as a governance mechanism for frontier AI developers, helping to reduce commercial pressures that may encourage companies to prioritise rapid deployment over safety. He argued that international cooperation has previously enabled countries to manage other strategically important technologies despite geopolitical competition.

To illustrate his proposal, Altman pointed to existing international governance mechanisms such as the International Atomic Energy Agency (IAEA), which oversees the peaceful use of nuclear technology, as well as global aviation safety frameworks and international financial standards. In his view, these models demonstrate that countries can establish common rules for technologies with significant cross-border implications while maintaining national interests.

Altman also argued that the benefits of AI should be shared more broadly, writing that ‘everyone on Earth should benefit from this technology and determine for themselves how best to use it.’ His proposal follows discussions at the recent Group of Seven (G7) summit in France, where executives from OpenAI, Anthropic, and Google DeepMind met with political leaders to discuss international approaches to governing advanced AI models.

A key challenge for any international oversight mechanism, however, remains enforcement. Unlike nuclear facilities or aircraft, frontier AI models are developed within highly secured data centres, making independent verification considerably more difficult. The limited visibility into model training, testing, and deployment has led many experts to question how compliance with international AI standards could be monitored in practice.

Altman’s proposal is not the first call for stronger international oversight of advanced AI. OpenAI and Anthropic have previously supported the idea of international governance mechanisms for frontier AI systems. Anthropic CEO Dario Amodei has argued for a more prescriptive regulatory approach, drawing comparisons with the US Federal Aviation Administration and advocating stronger regulatory oversight for highly capable AI models.

The proposal also comes as governments continue to expand their involvement in AI governance. Alongside national regulatory initiatives, international discussions have accelerated through forums such as the G7, the Global Partnership on AI (GPAI), and the UN.

Earlier this week, the UN’s Independent International Scientific Panel on Artificial Intelligence published its first preliminary assessment of AI opportunities, risks, and governance challenges ahead of the inaugural Global Dialogue on AI Governance in Geneva, reflecting growing international efforts to establish evidence-based approaches to AI governance.

Whether Altman’s proposal develops into a formal international initiative will ultimately depend on governments rather than AI companies. Commenting on broader discussions around AI governance, analysts at the Brookings Institution argued that cooperation between governments and leading AI developers could help establish common standards, but stressed that any future international framework would need effective implementation and enforcement mechanisms rather than relying solely on voluntary commitments.

As governments, international organisations, and AI developers continue debating how to govern increasingly capable AI systems, Altman’s proposal adds to a growing conversation about whether existing institutions are sufficient or whether new international mechanisms will be needed to manage the opportunities and risks associated with frontier AI.

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Switzerland sets framework for responsible AI use in development co-operation

An OECD case study has highlighted Switzerland’s efforts to govern the responsible use of AI in international cooperate and humanitarian assistance, focusing on a framework adopted by the Swiss Agency for Development and Cooperation in 2025.

The case study says SDC’s AI initiatives had previously been scattered, especially at the country level, while many staff had limited experience with AI. The agency also lacked unified guidance for using AI tools, funding AI-related projects and engaging in policy dialogue.

Approved in 2025, SDC’s Working Aid on AI is grounded in Switzerland’s International Cooperation Strategy 2025–2028. It provides practical guidance for responsible AI adoption across the agency’s portfolio and institutional roles.

The framework draws on earlier risk and opportunity mapping, the Council of Europe’s Framework Convention on AI and the OECD AI principles.

Its guiding principles include doing no harm, human oversight, participation of affected communities, localisation, dataset debiasing, ethical data sourcing, decent work in AI supply chains, reduced climate impact, transparency and internal oversight.

The Working Aid also defines four roles for SDC: funding operational AI projects, influencing global AI policy and partnerships, providing sectoral advice to SDC units and Swiss representations, and embedding AI into knowledge management.

SDC has created an AI Task Force, now becoming an AI Network, to coordinate work on operations, staff skills, data and IT infrastructure, governance and partnerships.

The framework is already being applied to areas including climate forecasting, child health diagnostics, media development, disinformation and internal project-cycle management.

Why does it matter?

Switzerland’s approach shows how development agencies are beginning to institutionalise AI governance rather than treating AI as a series of isolated experiments. A framework for responsible use can help agencies manage risks around bias, dependency, data sourcing, climate impact and human oversight while still using AI for development and humanitarian goals. The case also highlights the importance of internal capacity, staff guidance and whole-of-government coordination as AI becomes part of international cooperate.

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Microsoft Defender adds protection for local AI agents

Microsoft has announced new Defender capabilities designed to help organisations secure local AI agents and Model Context Protocol servers across enterprise environments.

The company said Microsoft Defender can now discover more than 25 types of local AI agents and MCP servers across managed Windows and macOS devices.

Microsoft said the feature also provides runtime protection when developers use coding agents such as GitHub Copilot CLI or Claude Code. According to the company, Defender can detect and block prompt injection attempts before a malicious action is executed.

Security teams can investigate AI agent exposure through Advanced Hunting. Microsoft said the local AI agent capabilities are currently in preview.

The update reflects a broader shift in enterprise security as organisations deploy AI agents, coding tools and MCP servers inside development and productivity workflows.

Microsoft also announced Codename MDASH, a private-preview multi-model agentic scanning system designed to discover, validate and help remediate software vulnerabilities. The company said MDASH can route validated issues into Microsoft Defender workflows and engineering pipelines.

Other June security updates include Microsoft Entra Backup and Recovery, expanded multicloud coverage in Defender for Cloud, new database threat protection for open-source relational databases on AWS RDS, Microsoft Purview customisable reports and a unified identity risk score.

Why does it matter?

AI agents are becoming part of enterprise infrastructure, which means they also become part of the attack surface. Local coding agents, MCP servers and agentic development tools can interact with files, code, credentials and internal systems. Microsoft’s update shows end point security expanding beyond traditional malware detection towards prompt injection, agent exposure and AI-driven development workflows. It also reflects a wider trend: security teams will need visibility and controls for AI systems deployed inside organisations, not only for cloud-hosted models.

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UNESCO summit advances AI ethics roadmap for Latin America and Caribbean

Countries in Latin America and the Caribbean have adopted a Ministerial Declaration and a regional roadmap on AI ethics for 2026–2027.

The documents were adopted at the Third Ministerial Summit and High-Level Authorities Meeting on the Ethics of Artificial Intelligence in Latin America and the Caribbean, held in the Dominican Republic.

The summit was organised by UNESCO, the Government of the Dominican Republic, the Development Bank of Latin America and the Caribbean and other partners, with support from the European Union.

Participants reaffirmed their commitment to implementing UNESCO’s Recommendation on the Ethics of Artificial Intelligence, adopted by UNESCO member states as a global normative framework for AI governance.

The roadmap sets priorities for technical cooperation, the exchange of regulatory experience and stronger institutional capacities for ethical and responsible AI policy.

It builds on earlier regional declarations adopted in Santiago in 2023 and Montevideo in 2024, moving the regional process from shared principles towards implementation.

The roadmap frames AI as a cross-cutting public policy issue, calling for participation from sectors including education, health, the economy, culture, the environment, justice, planning, budgeting and subnational government.

Participating states also identified capacity development as a regional priority, including digital literacy and training for public officials, educators, judicial practitioners, journalists, researchers, businesses and citizens.

The process will continue through five regional working groups, expanded technical exchanges and closer coordination with other international AI governance initiatives.

Why does it matter?

The roadmap gives Latin America and the Caribbean a more structured way to coordinate AI policy across countries, rather than developing national approaches in isolation. Its value will depend on whether regional working groups can turn broad ethical commitments into practical tools, stronger public institutions and shared regulatory capacity. The focus on education, environment, public administration and subnational government also shows that AI governance is being treated as a whole-of-society policy issue, not only a technology-sector concern.

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University of Wisconsin launches College of Computing & AI

The University of Wisconsin-Madison has launched its College of Computing & Artificial Intelligence (CAI), the institution’s first new college in more than four decades.

The new college brings together the departments of Computer Sciences, Statistics and the Information School, building on the School of Computer, Data & Information Sciences established in 2019.

The college will focus on computing and AI education and research while promoting collaboration across fields including health, engineering, business, the social sciences, the arts and the humanities.

The university also plans to launch new academic programmes, recruit 50 faculty members over the coming years and expand partnerships with industry and government to strenthen research, education and innovation.

Why does it matter?

The creation of a dedicated College of Computing & Artificial Intelligence reflects the growing importance universities are placing on AI as a cross-disciplinary field rather than a specialised area within computer science. By bringing together expertise from multiple disciplines, the university aims to prepare students and researchers to address the technical, social and ethical challenges of AI.

The investment also highlights intensifying competition among higher education institutions to attract talent, research funding and industry partnerships in AI. Expanding faculty, academic programmes and collaboration with government and business positions the university to play a larger role in developing the next generation of AI research and workforce skills.

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FTC seeks comment on AI accuracy policy for model outputs

The US Federal Trade Commission (FTC) is seeking public comment on a proposed policy statement examining whether AI companies may violate consumer protection law by manipulating model outputs in ways that conflict with users’ expectations of objectivity and accuracy.

The proposed statement says AI companies could violate Section 5 of the FTC Act if they deliberately distort AI outputs to pursue undisclosed ideological objectives while marketing their systems as accurate, objective or suitable for specific purposes. Section 5 prohibits unfair or deceptive business practices.

The FTC also questions whether certain state AI laws, specifically Colorado’s Artificial Intelligence Act, could be preempted if they conflict with a federal regulatory framework. According to the Commission, state requirements that compel changes to AI outputs may be incompatible with federal policy.

The proposal follows a December executive order issued by President Donald Trump directing the FTC to examine the legal implications of state laws requiring changes to what the order described as the ‘truthful outputs of AI models.’

The proposed policy statement will be published in the Federal Register, with public comments accepted until 31 July 2026. The Commission approved the notice in a 2–0 vote.

Why does it matter?

The proposal reframes AI output accuracy as a consumer protection issue rather than solely a question of content moderation or AI governance. If adopted, it could expose companies to regulatory scrutiny when they market AI systems as objective or reliable while modifying outputs in ways users are not informed about.

The consultation also highlights growing tension between federal and state approaches to AI regulation in the United States. By questioning whether state laws could be overridden by a federal framework, the FTC is signalling that AI governance may increasingly become the subject of broader legal and constitutional debates over regulatory authority.

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Microsoft launches $2.5 billion AI implementation business

Microsoft has announced a $2.5 billion investment to create Microsoft Frontier Company, a new operating business focused on helping organisations deploy AI systems at scale.

The company said the unit will embed 6,000 engineers, consultants, support specialists and industry experts with customers to design, deploy and continuously improve AI systems linked to measurable business outcomes.

Microsoft said the initiative responds to a shift in enterprise AI adoption, as companies move from experimentation to implementation, return on investment, and the protection of proprietary knowledge.

A central part of the approach is model choice. Microsoft said customers should be able to use different models for different scenarios, including models from OpenAI, Anthropic, Microsoft AI, open-source communities and specialised industry developers.

The company also said customer data, intellectual property, workflows and competitive knowledge should remain protected and should not be used to train models in ways that reduce customers’ market advantages.

Microsoft said early projects with organisations including the London Stock Exchange Group, Land O’Lakes, Unilever and Novo Nordisk have already delivered measurable outcomes through AI integration.

Rodrigo Kede Lima will serve as president of Microsoft Frontier Company. Microsoft said the new business will work with global systems integration partners, including Accenture, Capgemini, EY, KPMG and PwC.

Why does it matter?

The announcement shows how the enterprise AI market is shifting from access to models towards implementation, integration and measurable business outcomes. Many organisations already have AI tools, but struggle to embed them into workflows, protect proprietary data and show returns on investment. Microsoft’s new unit positions the company as an AI engineering and services partner across models, cloud infrastructure and enterprise operations, while also reflecting growing demand for multi-model AI ecosystems rather than single-provider dependency.

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India marks 11 years of Digital India initiative

India has marked the 11th anniversary of the Digital India initiative, with Prime Minister Narendra Modi highlighting its role in transforming governance, public service delivery and access to digital services.

In a statement issued by the Prime Minister’s Office, Modi said the Digital India initiative had made governance more transparent, efficient and citizen-centric. He highlighted digital payments, Direct Benefit Transfers and the expansion of digital public infrastructure as key examples of technology improving public service delivery.

The government also linked the Digital India initiative to broader innovation across the country, including in villages and Tier-2 and Tier-3 cities. Modi said entrepreneurs, startups and innovators were developing technology-based solutions for sectors including education, healthcare, agriculture, commerce and public services.

The statement also highlighted India’s ambitions in emerging technologies. Modi said advances in AI, semiconductors and quantum computing would create new opportunities for economic growth, while reaffirming the government’s commitment to using technology to empower citizens and support sustainable development.

Why does it matter?

The anniversary highlights how Digital India has evolved from a digital government programme into a broader strategy for economic development and technological innovation. By linking digital public infrastructure with AI, semiconductors and quantum computing, the government is positioning digital transformation as a foundation for India’s long-term competitiveness.

The initiative also illustrates the growing role of digital public infrastructure in national development. India’s experience with digital payments, identity systems and public services is increasingly influencing international discussions on digital governance and technology-enabled public service delivery.

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