India

WhatsApp usernames may reduce phone number exposure, but in India, they also raise a deeper question...

Cloud computing companies Google, Microsoft, AWS & Oracle have been brought under finance sector regulation as "critical third parties" as UK banks face outage or cyberattack risks due to their reliance on the big four. The post UK regulates Microsoft, Google, Amazon in finance sector; India sticks to indirect oversight appeared first on MEDIANAMA .

D2C footwear startup BUILT has raised $2 Mn (about ₹17 Cr) in a pre-seed funding round from Singapore-based VC firm…

Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.

In Prajwala v. Union of India, the Supreme Court held that victims of trafficking for commercial sexual exploitation have a right to rehabilitation under Article 23 read with the right to dignity under Article 21. While the judgment has been celebrated for its three-dimensional dignity framework, it is a missed opportunity to articulate a constitutional basis for protecting the rights of sex workers. The Court's dignity framework – calibrated against objectification in trafficking – is insuffici

The Indian startup ecosystem continued to mature in FY26, with 22 new-age tech companies making their public market debut as…

Published 13 July 2026 — 3 minute READ Image — Kanishka Narayan, the UK’s Minister for Artificial Intelligence and Online Safety, speaks at an event celebrating the AI Impact Summit 2026, in New Delhi ...

Through this notice, the Bureau of Indian Affairs (BIA), Office of Indian Services (OIS), Division of Workforce Development (DWD), Job Placement and Training announces a forthcoming FY 2026 Job Placement and Training discretionary grant pilot program titled, "Native American Technology and Manufacturing Grant Pilot Program-- (IGNITE: Indigenous Growth in New & Innovative Trade Employment)" Notice of Funding Opportunity (NOFO) for Tribal workforce development strategies preparing Tribal participa

Vikas Kumar is Professor of International Business at the University of Sydney Business School. His research focuses on international business, India, emerging markets, AI, geopolitics and capability ...

Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances, and cultural taboos, leaving Vision-Language Models (VLMs) vulnerable in global deployments. We introduce Pluralis v0.1: a novel multimodal, multi-regional, and multilingual dataset built from a culture-first perspective. Spanning 6,448 prompts across six Asia-Pacific countries (Bangladesh, India, Korea, Pakistan, Sin

A cancer journal has retracted a paper by a former acting director of an institute in India, bringing her retraction total to nine. Chitra Mandal, a former senior researcher at the Centre for Scientific and Industrial Research’s Indian Institute of Chemical Biology (CSIR-IIC) at Kolkata, served as acting director in 2014-15. She also headed the … Continue reading Former acting director of national research lab in India adds another retraction

Northeast India is a cradle of cultural and ecological diversity, where Indigenous communities have cultivated rich traditional knowledge systems across generations—ranging from sustainable agroforestry, medicinal plant use, and sacred landscape management to complex oral histories and language traditions. However, these knowledge systems now face accelerating threats from environmental degradation, climate change, socio-economic shifts, and cultural erosion. This review explores how artificial

Automatic Speech Recognition (ASR) is increasingly used to document clinical encounters, yet its reliability in multilingual and demographically diverse Indian healthcare context remains largely unknown. In this study, we first conduct the systematic audit of ASR performance on real-world psychiatric interview data spanning Kannada, Hindi and Indian English, comparing eight state-of-the-art models including IndicWhisper, WhisperLargeV3, Sarvam, GoogleS2T, Gemma3n, OmniLingual, Vaani, and Gemini.

Executive Summary: ‍ A video circulating on social media falsely claims that India's Finance Minister, Smt. Nirmala Sitharaman, has endorsed an investment platform promising unusually high returns. Upon investigation, it was confirmed tha ... (https://incidentdatabase.ai/cite/1553#7446)

This paper examines the impact of artificial intelligence and digital technologies on the blue-collar gig economy in India, focusing on algorithmic management. This paper examines the impact of artificial intelligence and digital technologies on the blue collar gig economy in India, focusing on algorithmic management he use of automated systems to allocate, monitor, and evaluate work in location-based services such as ride sharing and delivery. Using a social justice framework and a mixed-method

AgriGov is a curated, trilingual (English-Hindi-Marathi) dataset designed to address the scarcity of domain-grounded multilingual resources for agricultural policies and farmer welfare schemes. Initially, we collected and structured data from 50 government schemes sourced from trusted portals using automated scraping techniques, organizing it into predefined semantic fields (e.g., title, eligibility, application process, documents, exclusions). Translations were performed using a pipeline combin

Discrete speech units obtained via k-means clustering of self supervised embeddings entangle phonetic, speaker, and language information, causing speaker mixing and cross-lingual interference in multilingual multi-speaker speech generation. Despite growing use in Audio LLMs and speech to speech systems, unit vocoders remain underexplored. We analyze a BigVGAN based unit vocoder, across four Indian languages. We study the interaction between cluster size and conditioning strategies using WER, spe

Background: Dermatology AI has mainly focused on image-based diagnosis, while chronic disease workflows have received less attention. We surveyed Indian dermatologists to map routine clinical challenges, with a focus on atopic dermatitis (AD), and assess current AI use. Methods: A nationwide cross-sectional survey commissioned by the Society for Eczema Studies included 377 practicing Indian dermatologists. The survey assessed clinical challenges, AD workflow barriers, AI use, adoption barriers,

High and persistent child malnutrition levels with tardy reduction, seen in successive health surveys, continue to be a matter of concern in India, drawing attention to the need to revamp the four-decade-old Government program, Integrated Child Development Scheme (ICDS). ICDS field functionaries or Anganwadi Workers' (AWWs) capacity deficit was identified as a significant factor affecting ICDS's effectiveness. Considering rising numbers, over 1.4 million AWWs, and continuously advancing knowledg

While Large Language Models (LLMs) have significantly advanced Text-to-SQL performance, existing benchmarks predominantly focus on Western contexts and simplified schemas, leaving a gap in real-world, non-Western applications. We present IndicDB, a multilingual Text-to-SQL benchmark for evaluating cross-lingual semantic parsing across diverse Indic languages. The relational schemas are sourced from open-data platforms, including the National Data and Analytics Platform (NDAP) and the India Data

India generates vast biomedical data through postgraduate research, government hospital services and audits, government schemes, private hospitals and their electronic medical record (EMR) systems, insurance programs and standalone clinics. Unfortunately, these resources remain fragmented across institutional silos and vendor-locked EMR systems. The fundamental bottleneck is not technological but economic and academic. There is a systemic misalignment of incentives that renders data sharing a hi

Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based on the facts, legal issues, arguments, cited statutes, and relevant precedents. For such systems to be practically useful in judicial or legal research settings, they must not only achieve high predictive performance but also generate transparent and structured legal reasoning that aligns with established judicial practices. In this work, we prese

Indian Railway workshops form a critical component of rolling stock maintenance infrastructure, employing more than 2.5 lakh personnel across 44 major workshops nationwide. However, safety management in many workshops still relies on fragmented manual processes, resulting in delayed approvals, incomplete documentation, and increased exposure to operational hazards. Field safety observations indicate that lacerations (28.7%) and abrasions (21%) remain among the most frequent workplace injuries, h

Preserving intangible cultural dances rooted in centuries of tradition and governed by strict structural and symbolic rules presents unique challenges in the digital era. Among these, Bharatanatyam, a classical Indian dance form, stands out for its emphasis on codified adavus and precise key postures. Accurately generating these postures is crucial not only for maintaining anatomical and stylistic integrity, but also for enabling effective documentation, analysis, and transmission to broader glo

We present EuraGovExam, a multilingual and multimodal benchmark sourced from real-world civil service examinations across five representative Eurasian regions: South Korea, Japan, Taiwan, India, and the European Union. Designed to reflect the authentic complexity of public-sector assessments, the dataset contains over 8,000 high-resolution scanned multiple-choice questions covering 17 diverse academic and administrative domains. Unlike existing benchmarks, EuraGovExam embeds all question content

Purpose: India has adopted a vertical, sector-led AI governance strategy. While promoting innovation, such a light-touch approach risks policy fragmentation. This paper aims to propose a cohesive "whole-of-government" architecture to mitigate these risks and connect policy goals with a practical implementation plan. Design/methodology/approach: The paper applies an established five-layer conceptual framework to the Indian context. First, it constructs a national architecture for overall governan

The CARE Workshop on Robotics and AI in Medicine, held on December 1, 2025 in Indianapolis, convened leading researchers, clinicians, industry innovators, and federal stakeholders to shape a national vision for advancing robotics and artificial intelligence in healthcare. The event highlighted the accelerating need for coordinated research efforts that bridge engineering innovation with real clinical priorities, emphasizing safety, reliability, and translational readiness with an emphasis on the

Large Language Models (LLMs) are increasingly being deployed in multilingual, multicultural settings, yet their reliance on predominantly English-centric training data risks misalignment with the diverse cultural values of different societies. In this paper, we present a comprehensive, multilingual audit of the cultural alignment of contemporary LLMs including GPT-4o-Mini, Gemini-2.5-Flash, Llama 3.2, Mistral and Gemma 3 across India, East Asia and Southeast Asia. Our study specifically focuses

Understanding the psychological correlates of sustainable consumption intention is essential for recognizing how individual actions influence society and the environment. Grounded in the Theory of Planned Behavior (TPB), this study examines how attitude, subjective norms, and perceived behavioral control affect sustainable consumption intention, and explores the mediating role of conscious consumerism. Using survey data from Coimbatore District in the Indian state of Tamil Nadu ( N = 430), struc

The rapid integration of Artificial Intelligence (AI) in India’s banking sector offers operational benefits but also raises sustainability challenges. This study focuses on “Green AI,” defined as AI technologies optimized for energy efficiency and carbon conscious practices, by extending the Technology–Organization–Environment (TOE) and Technology Acceptance Model (TAM) frameworks with sustainability-linked factors. Data were collected from 412 mid- to senior-level professionals across six leadi

Open AI's ChatGPT has emerged as a popular AI language model that can engage in natural language conversations with users. Based on a qualitative research approach using semistructured interviews with 32 ChatGPT users from India, this study examined the factors influencing users' acceptance and use of ChatGPT using the unified theory of acceptance and usage of technology (UTAUT) model. The study results demonstrated that the four factors of UTAUT, along with two extended constructs, i.e. perceiv

We present evidence that cultural proximity (shared codes, beliefs, ethnicity) between lenders and borrowers increases the quantity of credit and reduces default. We identify in-group lending using dyadic data on religion and caste for officers and borrowers from an Indian bank, and a rotation policy that induces exogenous matching between them. Having an in-group officer increases credit access and loan size dispersion, reduces collateral requirements, and induces better repayment even after th