ai Archives | Page 14 of 353 | Digital Watch Observatory

India’s UIDAI rolls out AI-enabled biometric deduplication and document verification platform

UIDAI has deployed an advanced platform that uses AI-enabled models to improve biometric deduplication, the process of ensuring that each resident has a unique identity record, by checking fingerprints, facial images and iris scans against the entire Aadhaar database.

The authority describes this system, developed with the International Institute of Information Technology, Hyderabad, as an ‘Invisible Shield’ that can perform billions of computations efficiently at a population scale, running on high-performance inference infrastructure such as NVIDIA DGX systems to enhance accuracy and speed nationwide.

In addition to biometric matching, the platform incorporates AI-based document metadata extraction and verification to curb enrolment fraud, using secure APIs (e.g. DigiLocker) for source-of-truth checks against submitted documents.

The system is already being rolled out in several states. It is expected to expand across India in the coming months, boosting service quality, reducing turnaround times for Aadhaar enrolment and update transactions, and reinforcing trust in the digital identity infrastructure.

The initiative is part of a broader push to leverage AI for fraud detection and identity assurance at a national scale. It comes amid ongoing efforts by UIDAI to modernise authentication processes as biometric and AI-based systems evolve.

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Bremen trials AI-based safety system ‘AI Watch’ on city trams

The city of Bremen, Germany, has begun piloting an AI-based safety system called AI Watch on its tram fleet. The technology uses onboard cameras and computer vision models to automatically detect potential safety issues, such as passengers too close to doors, objects on the tracks, or unexpected pedestrian behaviour, and alerts tram operators in real time.

The goal is to reduce accidents and enhance situational awareness without replacing human oversight.

Developed with transport and AI specialists, AI Watch integrates with vehicles’ existing sensor suites and is designed to function in real-time operational environments. During the pilot, the system has been tested under various traffic and lighting conditions to refine hazard recognition accuracy and minimise false alarms.

BSAG representatives say the AI support tool complements human judgement, helping drivers focus on decision-making rather than continuously scanning for hazards.

The initiative comes as cities explore AI applications in urban mobility, from predictive maintenance to intelligent traffic management and automated incident detection, to improve safety, efficiency and passenger experience.

Bremen’s pilot will be evaluated for scalability across additional routes and potentially other types of public transport vehicles.

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Google’s Lyria 3 advances generative AI music with transparency and copyright safeguards

Google has introduced Lyria 3 inside its Gemini app, marking its expansion into AI-generated music. The model enables users to create 30-second tracks from text prompts, images, or short videos. It also supports Dream Track on YouTube Shorts, strengthening AI integration in creator tools.

The development reflects the growing convergence of multimodal AI systems. Gemini can already generate text, images, and video, and music is now added to this ecosystem. This positions Google within the broader race to embed generative AI across digital content infrastructures.

Lyria 3 lowers technical barriers to music production. Users can generate instrumentals and lyrics without prior composition skills, simply by describing a mood, genre, or memory. This aligns with wider efforts to democratise creative expression through AI tools.

The model also introduces technical improvements over earlier audio systems. It offers greater control over tempo, vocals, and style, while producing more realistic and musically complex outputs. However, tracks are currently limited to 30 seconds, suggesting a phased rollout approach.

Transparency measures are embedded through SynthID watermarking technology. All AI-generated tracks include an imperceptible identifier to signal synthetic origin. Such mechanisms respond to increasing policy discussions on labelling and traceability of AI-generated content.

Google also emphasises safeguards related to intellectual property. The system is designed for original expression rather than direct imitation of specific artists. Prompts referencing known artists are treated as stylistic inspiration, and outputs are filtered against existing works, with reporting mechanisms available for potential rights violations.

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AI productivity gap reveals critical enterprise adoption challenges

AI continues to generate expectations of broad economic transformation, particularly in productivity and employment. However, the extent of measurable economy-wide gains remains uncertain, and the overall impact of AI on business performance is still being assessed.

An extensive survey conducted by the National Bureau of Economic Research (NBER) found that while around 70% of firms across the US, UK, Germany, and Australia report using AI, nearly 9 in 10 companies have seen no significant effect on productivity or employment over the past 3 years. The findings suggest a gap between adoption rates and tangible outcomes.

Current enterprise use of AI remains concentrated in specific functions, including text generation with large language models, visual content creation, and data processing. Although previous studies have identified productivity gains in targeted areas such as customer support and writing tasks, these improvements have not yet translated into broad organisational performance increases.

Despite limited results to date, business leaders expect AI to deliver modest productivity gains in the coming years. The survey highlights a divergence in expectations, with senior executives anticipating slight reductions in employment, while employees foresee small job growth linked to AI adoption.

At the same time, some technology leaders predict more immediate disruption. Microsoft AI leader has argued that AI could soon reach human-level performance in many professional tasks, potentially reshaping white-collar work within the next few years.

The survey also indicates limited engagement with AI tools among top executives, with many reporting minimal or no direct use of them. This suggests that while AI investment is widespread, its integration into day-to-day leadership practices remains uneven.

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South Africa balances fintech innovation with financial stability

South Africa’s fintech sector has evolved from a niche disruptor into a pillar of the digital economy, fuelled by rapid digital adoption and entrepreneurial growth. Regulators are now tasked with supporting innovation in decentralised finance and AI while safeguarding market stability and consumer protection.

Coordinated oversight has been central to that effort. The Intergovernmental Fintech Working Group, bringing together the National Treasury, the South African Reserve Bank and the Financial Sector Conduct Authority, promotes a harmonised and principle-based regulatory approach.

A significant turning point came when crypto assets were classified as financial products under the Financial Advisory and Intermediary Services Act. Licensing requirements for Crypto Asset Service Providers and alignment with Financial Action Task Force standards strengthened consumer safeguards and anti-money laundering controls.

Fintech also plays a growing role in financial inclusion, particularly through mobile money, digital lending and digital payments. Wider access to affordable financial tools supports inclusive economic growth across underserved communities.

AI presents fresh regulatory questions around bias, transparency and operational resilience. Ensuring compliance with the Protection of Personal Information Act while encouraging responsible experimentation remains central to South Africa’s evolving fintech strategy.

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Global South at the heart of India AI plan

India has unveiled the New Delhi Frontier AI Impact Commitments, a new initiative aimed at promoting inclusive and responsible AI, particularly across the Global South. The announcement was made by Union Minister for Electronics and Information Technology Ashwini Vaishnaw at the opening of the India AI Impact Summit 2026.

Vaishnaw described India’s AI strategy as focused on democratisation, scale, and technological sovereignty. He outlined a comprehensive approach spanning the whole AI ecosystem, including applications, models, computing infrastructure, talent, and energy, with a strong emphasis on practical use in sectors such as healthcare, agriculture, education, and public services.

Framing AI as a transformative technology, the minister stressed that its benefits must reach the widest possible population. He called for a human-centric approach that prioritises safety and dignity, while also addressing risks linked to rapid technological change.

The voluntary commitments bring together Indian innovators such as Sarvam, BharatGen, Gnani.ai, and Soket alongside leading global AI companies. Together, they aim to ensure that AI systems are developed and deployed in ways that reflect equity, cultural diversity, and local realities.

One of the core pledges focuses on improving understanding of how AI is used in the real world. Participating organisations will share anonymised and aggregated insights to help policymakers assess AI’s impact on jobs, skills, productivity, and economic transformation, supporting more informed decision-making.

Another key commitment seeks to strengthen multilingual and context-sensitive AI evaluation. By developing datasets and benchmarks in underrepresented languages and cultural settings, the initiative aims to improve system performance for diverse populations and expand access to high-quality AI tools globally.

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Geneva to host 2027 global AI summit

Switzerland will host the 2027 edition of the global AI summit in Geneva, President Guy Parmelin announced on Thursday at the 2026 AI Summit in New Delhi. Speaking at a high-level session attended by Indian Prime Minister Narendra Modi and Brazilian President Luiz Inácio Lula da Silva, Parmelin said Switzerland was ready to welcome global leaders to discuss the future of AI.

Calling Geneva ‘the epicentre of multilateralism,’ Parmelin said the city offers a natural platform for international cooperation on emerging technologies. He added that Switzerland looks forward to organising the event and collaborating with the United Arab Emirates, which is set to host the summit in 2028.

The Swiss Federal Council had already signalled its interest in hosting the 2027 edition ahead of the New Delhi meeting. Last month, the government confirmed that financing had been secured and that organisational preparations were already complete.

The summit has been held annually since 2023, beginning in the United Kingdom and then in South Korea and France. The gatherings aim to promote global dialogue on both the opportunities and risks of AI, including its impact on healthcare, climate action, agriculture, and broader society.

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Summit in India hears call for safe AI

The UN Secretary General has warned that AI must augment human potential rather than replace it, speaking at the India AI Impact Summit in New Delhi. Addressing leaders at Bharat Mandapam in New Delhi, he urged investment in workers so that technology strengthens, rather than displaces, human capacity.

In New Delhi, he cautioned that AI could deepen inequality, amplify bias and fuel harm if left unchecked. He called for stronger safeguards to protect people from exploitation and insisted that no child should be exposed to unregulated AI systems.

Environmental concerns also featured prominently in New Delhi, with Guterres highlighting rising energy and water demands from data centres. He urged a shift to clean power and warned against transferring environmental costs to vulnerable communities.

The UN chief proposed a $3 billion Global Fund on AI to build skills, data access and affordable computing worldwide. In New Delhi, he argued that broader access is essential to prevent countries from being excluded from the AI age and to ensure AI supports sustainable development goals.

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Reload launches Epic to bring shared memory and structure to AI agents

Founders of the Reload platform say AI is moving from simple automation toward something closer to teamwork.

Newton Asare and Kiran Das noticed that AI agents were completing tasks normally handled by employees, which pushed them to design a system that treats digital workers as part of a company’s structure instead of disposable tools.

Their platform, Reload, offers a way for organisations to manage these agents across departments, assign responsibilities and monitor performance. The firm has secured 2.275 million dollars in new funding led by Anthemis with several other investors joining the round.

The shift toward agent-driven development exposed a recurring limitation. Most agents retain only short-term memory, which means they often lose context about a product or forget why a task matters.

Reload’s answer is Epic, a new product built on its platform that acts as an architect alongside coding agents. Epic defines requirements and constraints at the start of a project, then continuously preserves the shared understanding that agents need as software evolves.

Epic integrates with popular AI-assisted code editors such as Cursor and Windsurf, allowing developers to keep a consistent system memory without changing their workflow.

The tool generates key project artefacts from the outset, including data models and technical decisions, then carries them forward even when teams switch agents. It creates a single source of truth so that engineers and digital workers develop against the same structure.

Competing systems such as LongChain and CrewAI also offer support for managing agents, but Reload argues that Epic’s ability to maintain project-level context sets it apart.

Asare and Das, who already built and sold a previous company together, plan to use the fresh capital to grow their team and expand the infrastructure needed for a future in which human workers manage AI employees instead of the other way around.

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Greece positions itself as a global AI bridge

The PM of Greece, Kyriakos Mitsotakis, took part in the India AI Impact Summit in New Delhi as part of a two-day visit that highlighted the country’s ambition to deepen its presence in global technology governance.

A gathering that focuses on creating a coherent international approach to AI under the theme ‘People-Planet-Progress’, with an emphasis on practical outcomes instead of abstract commitments.

Greece presents itself as a link between Europe and the Global South, seeking a larger role in debates over AI policy and geoeconomic strategy.

Mitsotakis is joined by Minister of Digital Governance Dimitris Papastergiou, underscoring Athens’ intention to strengthen partnerships that support technological development.

During the visit, Mitsotakis attended an official dinner hosted by Narendra Modi.

On Thursday, he will address the summit at Bharat Mandapam before holding a scheduled meeting with his Indian counterpart, reinforcing efforts to expand cooperation between Greece and India in emerging technologies.

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