Artificial intelligence

UK law firm rolls out AI chatbot to support job interview preparation

A law firm in the United Kingdom has deployed an AI-driven chatbot that allows jobseekers, particularly those applying to the firm, to practise job interview scenarios in a realistic, conversational format.

The tool simulates interviewer questions and provides tailored feedback to users on their responses, helping them prepare for real interviews by improving confidence, clarity and topical awareness.

The chatbot leverages generative AI to generate context-appropriate questions and evaluate answer quality, offering suggestions for improvement and highlighting areas such as communication strengths or gaps in key competencies.

The initiative aims to lower barriers to effective interview readiness, especially for early-career candidates who may lack formal coaching or guidance.

Firm representatives say the technology is not intended to replace human mentoring but to complement traditional preparation, enabling candidates to hone their skills at their own pace.

Observers note that such AI tools are increasingly appearing in HR and recruitment workflows, from CV review and candidate screening to training simulations, though they caution about ensuring fairness, data privacy and avoidance of algorithmic bias in evaluative feedback.

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Google plans $15bn AI push in India

Google CEO Sundar Pichai said at the India AI Impact Summit 2026 in New Delhi that he never imagined Visakhapatnam would become a global AI hub. Speaking in New Delhi, he recalled passing through the coastal city as a student and described its transformation as remarkable.

In New Delhi, Pichai announced that Google will establish a full-stack AI hub in Visakhapatnam as part of a $15 billion investment in India. The facility is expected to include gigawatt-scale compute capacity and a new international subsea cable gateway.

The project in Visakhapatnam is set to generate jobs and deliver advanced AI services to businesses and communities across India. Authorities in Andhra Pradesh have allotted more than 600 acres of land near the port city for the proposed hyperscale AI data centre.

Reacting in New Delhi, Andhra Pradesh IT and HRD Minister Nara Lokesh welcomed the announcement and thanked Pichai for expressing confidence in Visakhapatnam. The development positions Visakhapatnam as a major AI infrastructure hub within India’s expanding technology sector.

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Kung Fu dancing robots for Chinese New Year spark viral internet reaction

Robots programmed to perform Kung Fu and dance routines as part of Chinese New Year celebrations have captured global attention on social platforms. The videos blend choreographed motion with expressive gestures that many viewers interpreted as showcasing advances in robotics and artificial intelligence.

Online reactions ranged from amusement and admiration of technological creativity to scepticism about the sophistication and authenticity of the robot movements.

Commenters noted that while the routines were entertaining, they highlighted the current limitations of consumer robotics and AI-powered motion control, with some suggesting the performances emphasised showmanship over practical capability.

Others saw cultural value in combining traditional New Year festivities with modern machines, framing the robots as a symbol of progress and innovation.

Reactions spanned global social media audiences, illustrating how public discourse around AI and robotics is shaped not just by technical performance but by cultural resonance and meme-driven engagement.

The article underscores the increasing role of AI and robotics in public celebrations and viral content, reflecting both fascination and critical eye from internet communities.

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Alberta launches AI-powered legal service to help people navigate law and court processes

The government of Alberta has introduced an AI-powered legal assistance service designed to help individuals understand civil, family and criminal law matters and court processes more effectively.

The free tool uses generative AI to answer user questions about legal rights, procedures and likely outcomes, aiming to increase access to justice for people who cannot afford or easily reach traditional legal help.

Officials and programme developers emphasise that the service is meant to provide legal information, not legal advice, and encourages users to seek professional counsel for complex or critical decisions.

The initiative reflects broader efforts in Canada and elsewhere to use artificial intelligence to reduce barriers to legal knowledge and empower citizens with clearer, more affordable pathways through justice systems.

The rollout includes safeguards such as disclaimers about the tool’s limitations and guidance on when to consult qualified lawyers, though critics note that errors or misinterpretations by AI could still pose risks if users over-rely on the system.

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AI in drug development drives breakthrough MSD–Mayo Clinic collaboration

Merck & Co. (MSD) and Mayo Clinic have launched a research and development collaboration to integrate AI, advanced analytics, and multimodal clinical data into drug discovery and precision medicine. The partnership is designed to improve target identification, strengthen early development decisions, and increase the probability of success in clinical programmes.

The collaboration combines Mayo Clinic’s Platform architecture and clinical-genomic datasets with MSD’s virtual cell technologies. By integrating biological modelling capabilities with real-world clinical data, the partners aim to generate deeper insights into disease mechanisms and therapeutic targets.

MSD will gain access to de-identified datasets, including medical imaging, laboratory results, molecular data, electronic health records, clinical notes, registries, and biorepositories. These multimodal data sources will be used to train and validate AI models, refine biomarker discovery, and support more data-driven research strategies.

Through the Mayo Clinic Platform Orchestrate programme, the collaboration seeks to scale AI-enabled tools across research and development workflows. The platform-based approach is intended to facilitate secure data access, streamline analytics, and accelerate the translation of insights into clinical applications.

The initial focus areas include dermatology (atopic dermatitis), neurology (multiple sclerosis), and gastroenterology (inflammatory bowel disease). The broader objective is to advance precision medicine by combining high-quality clinical data, AI-driven analysis, and pharmaceutical R&D expertise to deliver more effective therapies to patients.

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India hosts AI Impact Summit as UN chief urges shared AI rules

UN Secretary-General Antonio Guterres told the India AI Impact Summit 2026 that the future of AI must not be determined by a small group of nations or controlled by powerful private actors. He praised India’s leadership in hosting what he described as the first AI summit in the Global South.

Guterres said AI is transforming economies, societies, and governance at unprecedented speed. Inclusive and globally representative governance frameworks are essential to ensure equitable access and responsible deployment, he added.

‘The future of AI cannot be decided by a handful of countries or left to the whims of a few billionaires,’ he said, urging multilateral cooperation. Real impact, he added, means technology that improves lives and protects the planet.

United Nations officials say AI could help accelerate progress on nearly 80 per cent of the Sustainable Development Goals. Potential applications include reducing inequalities, strengthening public services, and enhancing climate action.

The UN has committed to a proactive, human rights-based approach to AI adoption within its own system. Agencies are deploying AI tools to address bias in data models, improve analytics, support innovation, and safeguard ethical standards.

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Anthropic seeks deeper AI cooperation with India

The chief executive of Anthropic, Dario Amodei, has said India can play a central role in guiding global responses to the security and economic risks linked to AI.

Speaking at the India AI Impact Summit in New Delhi, he argued that the world’s largest democracy is well placed to become a partner and leader in shaping the responsible development of advanced systems.

Amodei explained that Anthropic hopes to work with India on the testing and evaluation of models for safety and security. He stressed growing concern over autonomous behaviours that may emerge in advanced systems and noted the possibility of misuse by individuals or governments.

He pointed to the work of international and national AI safety institutes as a foundation for joint efforts and added that the economic effect of AI will be significant and that India and the wider Global South could benefit if policymakers prepare early.

Through its Economic Futures programme and Economic Index, Anthropic studies how AI reshapes jobs and labour markets.

He said the company intends to expand information sharing with Indian authorities and bring economists, labour groups, and officials into regular discussions to guide evidence-based policy instead of relying on assumptions.

Amodei said AI is set to increase economic output and that India is positioned to influence emerging global frameworks. He signalled a strong interest in long-term cooperation that supports safety, security, and sustainable growth.

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EU turns to AI tools to strengthen defences against disinformation

Institutions, researchers, and media organisations in the EU are intensifying efforts to use AI to counter disinformation, even as concerns grow about the wider impact on media freedom and public trust.

Confidence in journalism has fallen sharply across the EU, a trend made more severe by the rapid deployment of AI systems that reshape how information circulates online.

Brussels is attempting to respond with a mix of regulation and strategic investment. The EU’s AI Act is entering its implementation phase, supported by the AI Continent Action Plan and the Apply AI Strategy, both introduced in 2025 to improve competitiveness while protecting rights.

Yet manipulation campaigns continue to spread false narratives across platforms in multiple languages, placing pressure on journalists, fact-checkers and regulators to act with greater speed and precision.

Within such an environment, AI4TRUST has emerged as a prominent Horizon Europe initiative. The consortium is developing an integrated platform that detects disinformation signals, verifies content, and maps information flows for professionals who need real-time insight.

Partners stress the need for tools that strengthen human judgment instead of replacing it, particularly as synthetic media accelerates and shared realities become more fragile.

Experts speaking in Brussels warned that traditional fact-checking cannot absorb the scale of modern manipulation. They highlighted the geopolitical risks created by automated messaging and deepfakes, and argued for transparent, accountable systems tailored to user needs.

European officials emphasised that multiple tools will be required, supported by collaboration across institutions and sustained regulatory frameworks that defend democratic resilience.

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Digital procurement strengthens compliance and prepares governments for AI oversight

AI is reshaping the expectations placed on organisations, yet many local governments in the US continue to rely on procurement systems designed for a paper-first era.

Sealed envelopes, manual logging and physical storage remain standard practice, even though these steps slow essential services and increase operational pressure on staff and vendors.

The persistence of paper is linked to long-standing compliance requirements, which are vital for public accountability. Over time, however, processes intended to safeguard fairness have created significant inefficiencies.

Smaller businesses frequently struggle with printing, delivery, and rigid submission windows, and the administrative burden on procurement teams expands as records accumulate.

The author’s experience leading a modernisation effort in Somerville, Massachusetts showed how deeply embedded such practices had become.

Gradual adoption of digital submission reduced logistical barriers while strengthening compliance. Electronic bids could be time-stamped, access monitored, and records centrally managed, allowing staff to focus on evaluation rather than handling binders and storage boxes.

Vendor participation increased once geographical and physical constraints were removed. The shift also improved resilience, as municipalities that had already embraced digital procurement were better equipped to maintain continuity during pandemic disruptions.

Electronic records now provide a basis for responsible use of AI. Digital documents can be analysed for anomalies, metadata inconsistencies, or signs of manipulation that are difficult to detect in paper files.

Rather than replacing human judgment, such tools support stronger oversight and more transparent public administration. Modernising procurement aligns government operations with present-day realities and prepares them for future accountability and technological change.

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AWS scales AI with inference-focused systems

AI assistants deliver answers in seconds, but the process behind the scenes, called inference, is complex. Inference lets trained AI models generate responses, recommendations, or images, accounting for up to 90% of AI computing power.

AWS has built infrastructure to handle these fast, high-volume operations reliably and efficiently.

Inference involves four main stages: tokenisation, prefill, decoding, and detokenisation. Each step converts human input into machine-readable tokens, builds context, generates responses token by token, and converts output back to readable text.

AWS custom Trainium chips speed up the process while reducing costs. AI agents add complexity by chaining multiple inferences for multi-step tasks.

AWS uses its Bedrock platform, Project Mantle engine, and Journal tool to manage long-running requests, prioritise urgent tasks, and maintain low latency. Unified networking ensures efficiency and fairness across users.

By focusing on inference-first infrastructure, AWS lowers AI costs while enabling more advanced applications. Instant responses from AI assistants are the result of years of engineering, billions in investment, and systems built to scale globally.

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