Artificial intelligence Archives | Page 16 of 694

MIT experts examine AI’s impact on work and democracy

MIT researchers have examined how AI is reshaping employment, democratic processes and everyday social life during the institute’s AI and Society Forum.

The forum brought together researchers from across MIT to discuss the benefits and risks of AI for work, civil discourse, election administration and other areas of public life.

MIT economist David Autor challenged the view that AI will eliminate jobs. He argued that the impact of AI on labour will depend on whether the technology makes human expertise more valuable or turns it into a commodity.

Speakers said AI could improve productivity and support new forms of work, but warned that its effects will vary across sectors and require proactive policies on training, worker support and adaptation.

A separate session focused on democracy and elections. MIT researcher Chara Podimata presented work auditing large language models for bias in election information. A study of 12 major models during the 2024 US presidential election season found that chatbot responses varied significantly depending on users’ stated demographics and political leanings.

Participants warned that AI could disrupt election processes, undermine trust and weaken democratic norms if systems are deployed without transparency and accountability. However, they also pointed to possible benefits, including tools that support deliberation and help people reflect on their views.

The forum highlighted the need for interdisciplinary research and governance as AI becomes more deeply embedded in workplaces, public institutions and democratic life.

Why does it matter?

The MIT discussion reinforces that AI’s social impact will depend less on the technology alone and more on how it is designed, deployed and governed. Employment effects, election integrity, public trust and democratic participation are now central AI policy questions. The forum also shows why technical research needs to be connected with economics, political science, ethics and institutional design.

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NVIDIA unveils Vera Rubin supercomputing platform for AI and science

NVIDIA has introduced the Vera Rubin platform, a new supercomputing architecture designed to accelerate scientific research, AI development and large-scale data analysis. NVIDIA says a single rack of the system can deliver performance comparable to some of the world’s most powerful supercomputers.

The platform combines NVIDIA Rubin GPUs, Vera CPUs and high-speed networking technologies to support advanced simulations, AI training and data-intensive research workloads. With more than 7 exaflops of AI performance and 5 petaflops of native FP64 computing power, Vera Rubin is aimed at demanding workloads including climate modelling, computational fluid dynamics, and quantum chemistry.

Several leading research institutions have already announced plans to deploy systems based on the platform. Planned installations include the Blue Lion system at the Leibniz Supercomputing Centre, the Doudna supercomputer at Lawrence Berkeley National Laboratory, and new systems at Los Alamos National Laboratory.

According to NVIDIA, Vera Rubin will provide a unified environment for simulation, AI training, inference, and data processing, enabling researchers to tackle increasingly complex scientific and industrial challenges. Commercial availability is expected later this year.

Why does it matter?

Vera Rubin highlights the growing convergence of AI and high-performance computing, allowing researchers to run advanced simulations, analyse vast datasets, and train AI models on a single platform.

Greater computing power can accelerate breakthroughs in fields such as climate science, energy, healthcare, and materials research, reducing the time and cost required to solve complex scientific problems while strengthening global competitiveness in AI and advanced technology.

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EU launches ADACities for autonomous driving

The European Commission has launched the Autonomous Drive Ambition Cities initiative to support the deployment of autonomous driving technologies in cities across the EU.

The initiative, known as ADACities, was announced by Executive Vice-President Henna Virkkunen during the first international forum of the European Connected and Autonomous Vehicle Alliance in Brussels.

The Commission said ADACities will serve as a mobility flagship under the Apply AI Strategy, allowing selected EU cities to become real-world deployment sites for autonomous mobility innovation.

The initiative will support technologies such as robo-taxis, car-sharing services, autonomous shuttles for multimodal urban mobility and advanced self-driving cars. Participating cities will target fleets of 100 or more autonomous vehicles by 2030.

The Commission said partnerships supported by ADACities should be EU-centric, with European vehicle manufacturers and technology providers at the core, while still allowing international collaboration.

The initiative is also linked to the EU Technological Sovereignty Package. The Commission said autonomous driving deployment will draw on European capabilities in semiconductors, sovereign cloud and data infrastructure, AI Factories and open-source technologies.

ADACities builds on a joint declaration of intent to create a cross-border testbed for automated vehicle deployment. The Commission has opened a call for expressions of interest and will hold an online information session for cities and stakeholders.

Why does it matter?

ADACities shows how the EU is treating autonomous driving as part of AI deployment, urban mobility and industrial competitiveness, not only as a transport technology. By linking autonomous mobility to sovereign cloud, semiconductors, data infrastructure and AI Factories, the Commission is framing city-level deployment as a test of Europe’s ability to turn AI and automotive expertise into scalable public services. The initiative also raises governance questions around safety, liability, infrastructure readiness, data use and public trust.

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Meta launches new AI glasses with Muse Spark assistant

Meta has launched a new generation of AI glasses in partnership with EssilorLuxottica, expanding its push to make wearable AI a mainstream consumer technology.

The new Meta Glasses build on the company’s existing AI eyewear portfolio and will launch with 26 styles across different colours, lenses and frames.

Meta said the glasses include hands-free photo and video capture, open-ear audio, voice control, calls and messaging, live translation and access to Meta AI. The company also said the device offers more than eight hours of battery life, with a charging case providing up to 40 additional hours.

The glasses are the first in Meta’s AI eyewear line to launch with Meta AI powered by Muse Spark from day one. Meta said the model, developed by Meta Superintelligence Labs, gives the assistant stronger multimodal capabilities, including a better understanding of what users are seeing.

The company said the assistant can answer questions, suggest local recommendations, support daily tasks and help users manage schedules hands-free. Meta is also adding features such as dynamic photo capture, pedestrian navigation for displayless glasses and live translation support for 14 additional languages.

The launch reflects growing competition in AI wearables, as technology companies seek new interfaces beyond smartphones. By combining AI assistance with everyday eyewear, Meta is trying to position smart glasses as a practical gateway to always-available AI services.

Why does it matter?

AI glasses move digital assistants closer to the physical world, giving AI systems access to what users see, hear and do throughout the day. That could make AI more useful for translation, navigation, accessibility and hands-free computing, but it also raises questions over privacy, bystander consent, data collection and dependence on platform-controlled AI assistants.

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NVIDIA launches robotics safety platform for autonomous AI systems

NVIDIA has unveiled Halos for Robotics, a new safety platform designed to support the deployment of autonomous robots and physical AI systems in industrial environments.

The announcement reflects growing industry attention to safety, governance and certification as AI-powered machines increasingly operate alongside human workers in factories, warehouses and logistics facilities.

NVIDIA describes Halos as a full-stack safety architecture that combines AI computing infrastructure, safety software, sensor integration and certification support.

The platform adapts technologies originally developed for autonomous vehicles, providing robotics developers with a common framework for designing, testing and validating safety-critical systems.

NVIDIA argues that standardised safety architectures will become increasingly important as robots gain greater autonomy and decision-making capabilities.

A key element of the launch is the participation of Agility, whose humanoid robot Digit is already being deployed in industrial settings. Agility will integrate components of Halos into its existing safety systems while working with NVIDIA’s newly established AI Systems Inspection Lab to pursue independent certification against international safety standards.

Why does it matter?

The announcement reflects the growing convergence of AI and robotics as autonomous systems move from controlled testing environments into real-world industrial operations. As robots gain greater autonomy and interact more directly with people, safety assurance, certification and risk management are becoming as important as performance and capability.

The launch also highlights a broader governance challenge for physical AI. Unlike generative AI systems that primarily operate in digital environments, autonomous robots can directly affect physical safety, workplace operations and critical infrastructure. Common safety architectures, certification frameworks and industry standards could therefore play an increasingly important role in building trust and supporting the large-scale deployment of AI-powered machines.

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World Bank says AI could boost Poland’s GDP by up to 12% by 2035

The World Bank Group says AI could increase Poland’s real GDP by between 1.3% and 12.1% by 2035, depending on the pace of business adoption, workforce adaptation and supportive public policies.

In its report, ‘Navigating the Age of AI: Implications for Poland’s Economy‘, the World Bank Group said AI-driven productivity gains could begin emerging within three years. However, with only 8% of Polish firms currently using AI, the report identifies substantial scope for further adoption and productivity gains.

The report suggests that AI‘s most significant impact is likely to be on how work is organised and performed rather than on the overall composition of the economy. The business services sector is expected to be among the first to experience significant change as routine and repetitive tasks become increasingly automated.

The report argues that capturing AI’s benefits will require sustained investment in digital infrastructure, skills development and innovation, alongside labour-market measures designed to support workforce transition and adaptation. The report was developed in collaboration with the Government of Poland, academia, think tanks and international partners in Warsaw.

Why does it matter?

The report highlights the growing importance of AI as a driver of productivity and economic growth. For countries such as Poland, the potential gains from AI will depend not only on technological adoption but also on the ability of businesses, workers and institutions to adapt to changing economic conditions.

The findings also reinforce a broader policy lesson emerging globally: AI’s economic impact is likely to be shaped as much by investments in skills, infrastructure and labour-market resilience as by the technology itself. Countries that successfully combine innovation with workforce development may be better positioned to capture productivity gains while limiting disruption and inequality during the transition.

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UN Women cautions AI is reinforcing gender bias

UN Women has warned that AI systems continue to reinforce long-standing gender stereotypes, even as they become increasingly embedded in everyday life. The organisation says many AI models still associate women with domestic roles while linking men to leadership, business, and career success.

Recent studies highlighted the scale of the issue. Research examining 133 AI systems found that 44% displayed gender bias, while more than a quarter showed both gender and racial bias. According to UN Women, these outcomes reflect biases embedded in training data and broader social patterns rather than isolated technical flaws.

Concerns extend beyond stereotyping and representation. AI-generated content is contributing to the spread of online abuse, with women human rights defenders, activists, and journalists reporting experiences ranging from manipulated images to deepfake content. At the same time, women remain underrepresented in the AI sector, accounting for only around 30% of the global workforce.

Ahead of international discussions on AI governance in Geneva, UN Women is urging governments, technology companies, and developers to place gender equality at the centre of AI policymaking. The organisation argues that inclusive AI development can help ensure the technology expands opportunities and participation rather than reproducing existing inequalities.

Why does it matter?

As AI systems become increasingly influential in hiring, education, healthcare, public services and online platforms, biased outputs can amplify existing inequalities at scale. Gender stereotypes embedded in AI models may affect how people are represented, evaluated and treated, making fairness and inclusivity important considerations in AI development and deployment.

The issue also highlights the relationship between technical design and social outcomes. Diverse datasets, inclusive development teams and robust governance mechanisms are increasingly viewed as necessary to reduce harmful biases and improve trust in AI systems. As governments develop AI regulations and standards, questions of gender equality, representation and accountability are likely to play a growing role in shaping future AI governance frameworks.

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Estonia proposes world-first digital IDs for AI agents

Estonia is moving forward with plans to create official digital identities for AI agents, a move that could make it the first country to establish a formal framework for AI systems acting on behalf of individuals and organisations. The proposal received backing from Prime Minister Kristen Michal following discussions within the Eesti.ai advisory board.

Under the proposed framework, AI agents would be granted limited and clearly defined permissions, enabling them to perform specific tasks such as preparing documents, handling administrative procedures and accessing designated information. Authorities say the framework would ensure that every action remains traceable, auditable and subject to clear human accountability.

Officials argue that digital identities for AI could prevent users from granting excessive access to personal data and services while supporting the growing use of AI across the economy. The initiative builds on Estonia’s long-established digital infrastructure, including digital identities, electronic signatures and secure data-sharing systems.

Alongside the AI identity project, Estonia is exploring a new testing environment for air and water drones in the Baltic Sea region and expanding programmes designed to improve AI literacy. Authorities are also working to strengthen Estonian-language AI models and support organisations in making informed decisions about AI adoption and deployment.

Why does it matter?

As AI agents become increasingly capable of performing administrative, professional and transactional tasks, questions about identity, authorisation and accountability are becoming central governance challenges. Estonia’s proposal seeks to create a formal mechanism for defining what an AI agent is allowed to do, who authorised those actions and who remains responsible for the outcomes.

The initiative also represents a potentially significant evolution of digital identity systems. If successful, Estonia could provide an early model for integrating AI agents into public services and the wider digital economy while preserving transparency, security and trust. The framework may influence future debates on AI governance, digital public infrastructure and the legal status of increasingly autonomous AI systems in other jurisdictions.

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Five Eyes agencies urge action on AI cyber risk

Five Eyes cybersecurity agencies have urged business and technology leaders to act quickly as AI transforms the cyber landscape.

In a joint statement issued on 22 June, the leaders of the Five Eyes cybersecurity agencies said AI is already changing both offensive and defensive cyber capabilities. They said AI can strengthen cyber defence capabilities, but it is also increasing the speed, scale and sophistication of cyber threats.

The agencies said frontier AI models could surpass current industry expectations and fundamentally reshape cyber capabilities within months rather than years. They warned that AI is lowering barriers for malicious actors and shrinking the time between vulnerability discovery and exploitation.

The statement was signed by cybersecurity leaders from Australia, Canada, New Zealand, the United Kingd o m, and the United States. Signatories included the heads of the Australian Cyber Security Centre, the Canadian Centre for Cyber Security, New Zealand’s National Cyber Security Centre, the UK’s National Cyber Security Centre, the US Cybersecurity and Infrastructure Security Agency, and the US National Security Agency’s Cyber Security Directorate.

The agencies said cyber resilience should be treated as a strategic business risk and leadership responsibility rather than solely a technical concern. Boards and executives should ensure that cyber controls are in place and can operate effectively under pressure during real incidents.

The statement urged leaders to assess organisational risk, preparedness and accountability while ensuring cybersecurity remains integrated into broader business decision-making. It also called on organisations to prioritise foundational cybersecurity practices, give cyber leaders sufficient authority and resources, and remain engaged as threats and guidance evolve.

The agencies said secure-by-design and secure-by-default must become standard practice rather than an aspiration. They also said resilience cannot depend on a single technology, making defence in depth essential as AI systems evolve.

The statement warned that new, previously unknown vulnerabilities, including zero-day exploits, will continue to emerge. It said breaches will occur, but preparedness can help organisations contain them quickly and prevent escalation into major operational and financial crises.

The Five Eyes agencies recommended five practical actions for leaders. Organisations should reduce their attack surface by limiting unnecessary access and external connectivity, and should question whether systems need to be exposed at all.

They should also accelerate patching processes because AI is shortening the time between vulnerability discovery and exploitation. Delays in patching can increase risk, especially for operational systems with long update cycles.

The statement also urged organisations to address legacy systems, describing unsupported systems as strategic liabilities rather than only technical debt. Leaders were also told to review and strengthen identity and access controls, enforce strong authentication, and regularly review permissions.

Incident preparation was another priority. The agencies said organisations should test response plans, train teams, and assume breaches will happen, with a focus on fast containment and recovery.

The agencies also encouraged organisations to deploy AI as a defensive tool, using it to identify vulnerabilities, strengthen monitoring and accelerate incident response. Organisations that integrate AI tools into security operations can detect vulnerabilities earlier, improve software quality, monitor unusual behaviour and respond faster to incidents.

The statement said success will not come from having the most tools. Instead, it said organisations should focus on getting the basics right, acting quickly and integrating cyber security into core business strategy.

The Five Eyes agencies said leaders who act now will reduce exposure, strengthen resilience, and build confidence with customers, partners, and investors. Those who delay, they said, will face growing, avoidable risks.

Why does it matter?

The statement reflects growing concern among major cybersecurity agencies that AI is changing the balance between attackers and defenders. By accelerating vulnerability discovery, automating reconnaissance and lowering technical barriers for malicious actors, AI could significantly reduce the time organisations have to identify, patch and mitigate emerging threats.

The warning also signals a broader shift in cybersecurity governance. Rather than treating cyber risk as a technical issue delegated to IT departments, governments increasingly expect boards and senior executives to view cyber resilience as a core organisational responsibility. As AI capabilities advance, secure-by-design systems, rapid patch management, strong identity controls and tested incident response plans are becoming central elements of national and corporate cyber resilience strategies.

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UK and Malaysia launch negotiations on digital trade agreement

The UK and Malaysia have launched negotiations on a digital trade agreement aimed at supporting economic growth, creating jobs and expanding cross-border digital services.

The UK government said the talks mark the next step in its effort to strengthen the country’s role as a global hub for services and digital trade. Digital trade encompasses the exchange of goods, services and data that are enabled or delivered through digital technologies.

The proposed agreement could support activities such as UK businesses selling software to overseas customers through online platforms or providing financial consultancy services remotely across borders.

The UK said standalone digital trade agreements can deliver benefits similar to digital trade chapters in traditional free trade agreements while remaining more agile, flexible and quicker to negotiate and implement.

The UK and Malaysia already maintain a growing trade relationship. The UK said bilateral trade was worth £6.4 billion in 2025, and that it exported £730 million in digitally delivered services to Malaysia in 2023. The UK also cited OECD estimates showing that exports to Malaysia supported 31,100 UK jobs in 2022.

The proposed digital trade agreement aims to make trade with Malaysia easier, cheaper, and more secure through cross-border data flows. Other potential benefits include reducing paperwork and border friction through digital systems.

The agreement could also include provisions on personal data protection, intellectual property rights, online consumer protection and cybersecurity cooperation. The UK said the deal aims to strengthen international digital and technology cooperation by supporting responsible innovation in areas such as AI and data.

The government said the agreement could create new partnerships that support more efficient supply chains, infrastructure, and global competitiveness.

UK Trade Minister Chris Bryant said launching negotiations with Malaysia marks an important step in strengthening the UK’s position as a global leader in digital trade.

Bryant said a UK-Malaysia digital trade agreement could unlock new opportunities for British businesses, support high-skilled jobs, and help firms compete in fast-growing, technology-driven markets.

Why does it matter?

Digital trade is becoming a central pillar of international economic policy as services, data flows and digital platforms play a growing role in global commerce. For economies such as the UK, which have strong services sectors, agreements that facilitate cross-border data flows and remote service delivery can create new opportunities for businesses while reducing regulatory and administrative barriers.

The negotiations also reflect a broader shift towards standalone digital trade agreements as a faster and more flexible alternative to traditional trade deals. Beyond commercial benefits, such agreements increasingly address issues including AI governance, cybersecurity, consumer protection and data regulation, making them important instruments for shaping the rules of the digital economy and strengthening international digital cooperation.

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