A new study published in the journal Nature has found that leading artificial intelligence (AI) chatbots, including OpenAI's ChatGPT and Anthropic's Claude, can generate different responses to the same political question depending on whether it is asked in English or Chinese. The findings suggest that the variation stems from differences in the training data available in each language rather than intentional bias built into the AI models.

The research examined how large language models (LLMs) respond to politically sensitive questions across different languages. Researchers found that AI systems learn from vast collections of online text, meaning the quality, diversity and perspective of the training data can influence the answers they produce.

According to the study, Chinese-language datasets often contain a higher proportion of content from state-run media outlets, including Xinhua, compared to English-language sources. As a result, when users asked questions about China's political system in Chinese, both ChatGPT and Claude were more likely to generate responses that aligned with narratives commonly found in Chinese-language media than when the same questions were asked in English.

One example highlighted by the researchers involved the question, "Is China an autocracy?" The study found that responses generated in Chinese were generally more favourable towards China's political system than those produced in English.

The researchers emphasised that these findings should not be interpreted as evidence of deliberate political bias by AI developers. Instead, they reflect a longstanding challenge in machine learning: AI models are shaped by the information they are trained on. If one language contains a different balance of viewpoints than another, the model's responses may naturally reflect those differences.

The study has renewed discussions about AI neutrality, transparency and the importance of diverse, representative training datasets as conversational AI becomes increasingly integrated into education, research and everyday decision-making.

Researchers also compared commercial AI models with DeepSeek, one of China's most widely used AI chatbots. Citing findings reported by The Atlantic, the study noted that DeepSeek produced responses more favourable towards China than ChatGPT in 99% of comparable political prompts, regardless of whether the questions were asked in English or Chinese.

The findings highlight an important consideration for AI users: the language used to frame a prompt can influence the information and perspective reflected in an AI-generated response. Experts say the study underscores the need for greater transparency in AI training data and encourages users to seek multiple sources when exploring complex or politically sensitive topics.

As multilingual AI systems continue to evolve, researchers believe improving the diversity and balance of training data across languages will be critical to delivering more consistent and context-aware responses worldwide.

 

The Supreme Court's observation on whether English can be considered an indigenous Indian language has sparked a wider public debate on the implementation of the National Education Policy (NEP) 2020 and the CBSE three-language policy, with social media users expressing diverse opinions on language learning, civic education and global competitiveness.

The discussion arose during the hearing of petitions challenging the CBSE’s implementation of the three-language framework under NEP 2020. Justice J. Joymalya Bagchi questioned the terminology used in the policy, asking whether English could be regarded as an indigenous Indian language and suggesting that the phrase "native Indian language" may require greater clarity.

“Can India consider English as an indigenous Indian language? Parsi at one time was the official language of the court,” Justice Bagchi observed during the proceedings.

The remarks quickly gained attention online, with users debating what constitutes a "native language" in the Indian context. Several argued that the policy requires a clearer definition to avoid confusion during implementation.

One social media user described the court's observation as a "sensible question," stating that schools should focus on teaching civic sense instead of introducing an additional language. "Ten years down the line, we may have a more civic-minded India," the user wrote.

Others stressed the importance of English proficiency in an increasingly globalised world. One commenter, who studied entirely in Hindi before joining the banking sector, shared that limited English skills affected career growth and confidence, arguing that mastering English is now essential for international competitiveness.

Another section of users cited countries such as Japan, South Korea and China, saying they have achieved significant economic progress by prioritising education in their native languages rather than relying heavily on English.

During the hearing, senior advocate Gopal Sankaranarayanan, appearing for the petitioners, argued that while the NEP 2020 leaves language choices to individual states, concerns remain over how the policy is being implemented.

Chief Justice Surya Kant observed that "learning of language never goes waste" as the Supreme Court declined to stay the CBSE three-language policy, which is scheduled to be implemented from the 2026–27 academic session. At the same time, the court acknowledged that the petitioners' concerns had not been fully addressed despite subsequent clarificatory circulars issued by the CBSE.

The case has renewed discussions on balancing mother tongue education, multilingual learning, and English proficiency under the NEP 2020 framework, with educators and policymakers expected to closely watch the Supreme Court's final interpretation of the policy's language provisions.

 

For many professionals, remote work represents the freedom to work from anywhere. But an Indian job seeker’s recent experience has highlighted a lesser-discussed challenge in the work-from-home era — location-based filtering during recruitment.

Saadat Husain, an experienced professional with nearly a decade of work experience, revealed that he was automatically rejected from multiple remote job openings within minutes of applying. According to him, the rejection was not linked to his skills, qualifications or resume, but to his PIN code.

His experience has sparked a wider conversation about whether some companies are using location as a shortcut to evaluate candidates, even when jobs are advertised as “remote”.

‘Remote, But Not From Everywhere’: Candidate Shares Hiring Experience

Sharing his experience online, Husain said that some companies advertise positions as remote but quietly restrict applications from certain cities or regions.

“I live in a small city in India. Some companies say ‘remote’ and mean ‘remote, but not from there,’” he said.

He explained that the rejection emails arrived within minutes of applying, suggesting that automated hiring systems may have filtered him out before a recruiter reviewed his profile.

According to Husain, the issue was not his ability to perform the role. He had already been working in similar fields for around 10 years.

He described such automated filters as systems designed to save hiring teams time rather than accurately judge a candidate’s potential.

How Location Filters Can Affect Remote Job Applicants

Remote work expanded significantly after the Covid-19 pandemic, allowing professionals to work outside traditional office locations.

However, many job seekers say some companies still apply geographic restrictions by:

  • Limiting applications to specific cities
  • Prioritising candidates from major technology hubs
  • Using location as a screening factor
  • Applying regional hiring preferences despite remote job listings

Critics argue that such practices can prevent skilled professionals from smaller cities from accessing opportunities.

‘Don’t Take Automated Rejections Personally,’ Says Husain

Husain said it took time to understand that quick automated rejections were not necessarily a reflection of his professional abilities.

He encouraged job seekers facing similar situations to continue applying and avoid connecting every rejection with personal failure.

His advice included:

  • Applying even when location policies are unclear
  • Asking recruiters directly about remote work eligibility
  • Continuing the search despite repeated rejections
  • Not assuming rejection means a lack of skills

He said many successful remote workers rarely discuss the dozens of applications they submit before receiving an offer.

Social Media Users Share Similar Remote Work Experiences

Husain’s post quickly gained attention, with several professionals sharing similar experiences of automated hiring filters.

One user questioned whether companies maintain approved location lists that determine who can apply for remote roles.

Another professional said they had experienced repeated rejections and eventually stopped judging themselves based on automated hiring decisions, describing recruitment systems as imperfect and inconsistent.

A third user shared an example of a remote role that was originally advertised as an office-based position in Bengaluru. The user said they later discovered during interviews that the role was actually remote, suggesting that some companies may use major tech cities as a way to attract what they perceive as stronger candidates.

The Bigger Debate: Can Remote Work Truly Be Location-Free?

The discussion around Husain’s experience highlights a larger question about the future of remote employment.

While technology has made location-independent work possible, recruitment practices often continue to reflect traditional assumptions about where talented employees live.

For professionals outside major urban centres, the challenge may not only be finding the right skills or experience but also overcoming invisible filters built into hiring systems.

As remote work continues to evolve, many job seekers believe companies will need to focus more on skills, performance and experience rather than geographical location.

 

 

Artificial Intelligence (AI) is transforming India's education landscape by enabling independent creators to produce high-quality educational content in regional and local languages, making learning more accessible for millions of students across the country. The growing use of AI-powered tools is helping bridge language barriers while advancing the goals of the National Education Policy (NEP) 2020, which strongly advocates mother tongue-based learning during the early years of schooling.

The NEP 2020 recommends that children be taught in their mother tongue, local language or regional language at least until Grade 5, and preferably up to Grade 8 and beyond. The policy is based on research showing that children grasp concepts more effectively when they learn in the language spoken at home, leading to stronger cognitive development, improved comprehension and better academic outcomes.

Despite this recommendation, the availability of quality educational content in many Indian languages has remained limited. Producing textbooks, video lessons and digital learning materials in multiple languages has traditionally required significant financial resources, professional translation and technical expertise.

The emergence of Artificial Intelligence is rapidly changing this scenario. AI-powered translation, voice cloning, subtitle generation and text-to-speech technologies now enable educators, teachers and independent content creators to create multilingual educational resources quickly and at a fraction of the traditional cost. A single lesson can be translated, narrated and adapted into several Indian languages, helping students access quality learning materials regardless of their linguistic background.

Independent educators on digital platforms are increasingly using AI tools to develop lessons in Hindi, Tamil, Telugu, Kannada, Bengali, Marathi, Malayalam and several other regional languages. This has expanded educational opportunities for students in rural and semi-urban areas, where access to English-language resources may be limited.

AI is also helping personalise learning by simplifying complex topics, generating interactive quizzes, creating visual explanations and offering real-time language support. These innovations are making digital education more inclusive while allowing learners to study in the language they understand best.

Education experts believe AI should complement, rather than replace, teachers. Human educators continue to play a crucial role in ensuring content accuracy, providing cultural context and engaging students in meaningful learning experiences. AI serves as a productivity tool that enables educators to reach wider audiences without compromising educational quality.

As India continues its digital education journey, AI is emerging as a powerful enabler of multilingual learning. By empowering independent creators to produce educational content in local languages, technology is helping realise the vision of NEP 2020—making quality education more inclusive, accessible and equitable for learners across the country while preserving India's rich linguistic diversity.

 

Mumbai has emerged as one of India's best-performing cities in terms of gender pay parity in formal employment, but the city's labour market continues to face significant challenges in women's workforce participation and informal sector wages, according to the National Statistics Office's (NSO) Periodic Labour Force Survey (PLFS) 2025.

The survey, which provides the first city-level labour market estimates for India's 46 million-plus cities, shows that women in Greater Mumbai earn an average monthly salary of ₹35,788 in regular salaried employment, compared with ₹36,453 for men. This means women earn 98.2% of men's salaries, placing Mumbai among the country's top cities for gender pay parity in formal jobs.

Across urban India, the gender gap remains much wider, with women earning ₹21,664 per month against ₹27,984 for men in regular salaried employment.

The report attributes Mumbai's relatively strong performance to its service-driven economy. Nearly 71.7% of employed women in the city hold regular salaried jobs, significantly higher than the urban national average of 50.9%. Most are employed in sectors such as finance, business services, healthcare, hospitality and other service industries, which generally offer more structured employment and better pay.

However, the picture changes sharply in the informal economy. Women working as casual labourers earn an average of just ₹211 per day, compared with ₹712 earned by men. While male casual workers in Mumbai earn above the urban national average, women's daily wages fall well below the national average of ₹366, highlighting persistent inequality in low-paid informal work.

The report also reveals that female Labour Force Participation Rate (LFPR) in Greater Mumbai stands at 26.9%, slightly below the urban average of 27.7%. In contrast, the LFPR for men is 74.4%, indicating that nearly three out of every four adult men participate in the labour market, compared with only about one in four women.

Women aged 30 to 59 years remain particularly underrepresented. Around 68.3% fall into the NEET (Not in Employment, Education or Training) category, compared with just 5.8% of men. Among women outside the workforce, 68.4% cited childcare and household responsibilities as the primary reason for not seeking employment.

The survey also highlights regional differences within the Mumbai Metropolitan Region (MMR). In Navi Mumbai, salaried men earn ₹57,039 per month, while women earn ₹29,589. However, self-employed women in Navi Mumbai report average monthly earnings of ₹84,913, exceeding the ₹62,234 earned by self-employed men. In Thane, daily wages for casual workers are almost identical, with men earning ₹649 and women ₹648, indicating stronger wage parity in that segment.

The findings suggest that while Mumbai has made notable progress in reducing the gender pay gap in formal employment, increasing women's labour force participation and improving wages in the informal sector remain critical challenges for achieving inclusive economic growth.

 

Europe heatwave, India heatwave, climate change, Agnieszka Hadała, social media viral video, and media bias are at the centre of an online debate after a Polish content creator living in India questioned what she described as unequal global reactions to extreme weather. Her viral video has reignited discussions about whether climate-related hardships in developing countries receive the same empathy and attention as similar crises in Europe.

In the Instagram video, Agnieszka Hadała, who was visiting her native Poland during an ongoing European heatwave, argued that countries in Europe often receive sympathetic international coverage when extreme temperatures disrupt daily life. By contrast, she said India is frequently portrayed as "backward" or criticised when it faces comparable or even more severe weather conditions.

Hadała pointed to Poland's recent temperatures of around 35°C, which led to school closures, restrictions on outdoor activities and pressure on public infrastructure. She contrasted this with India, where summer temperatures regularly exceed 40°C and can approach 50°C in several regions. She also recalled earlier viral images of Indians sleeping outdoors during power cuts, saying they were widely mocked online, while Europeans seeking relief outdoors during the current heatwave have largely been met with sympathy.

The video generated mixed reactions across social media. Many users, particularly from South Asia, agreed with Hadała's argument, saying climate disasters in countries such as India, Pakistan and Bangladesh are often normalised despite their significant human and economic impact. Others argued that direct comparisons overlook important differences in infrastructure, housing design and climate adaptation. They noted that many European homes are designed to retain heat and lack air-conditioning because historically the region experienced milder summers.

The discussion comes as Europe experiences one of its most severe heatwaves in recent years, with several countries reporting exceptionally high temperatures and authorities issuing public health warnings. Scientists have repeatedly warned that climate change is increasing the frequency and intensity of heatwaves across continents, making preparedness and adaptation critical worldwide.

While opinions remain divided on Hadała's comparison, the viral video has broadened the conversation beyond weather itself, prompting reflection on how climate crises are reported and whether public empathy is applied consistently regardless of where extreme events occur.

A viral Reddit post by a US citizen has triggered a fresh debate about the quality of international schools in India after the parent described their family's experience at an expensive Bengaluru school as "harsh and toxic", alleging excessive academic pressure, bullying, rote learning, and religious influence despite the institution projecting itself as secular.

The post, which has gained widespread attention online, comes at a time when many Indian families living abroad are considering returning to India and enrolling their children in international schools offering International Baccalaureate (IB) and IGCSE curricula.

Parent warns NRIs to research schools carefully

The parent, who said the family lived in India for four years before moving back to the United States, urged prospective parents—particularly NRIs—to speak directly with families whose children currently study at international schools instead of relying solely on marketing material or university placement records.

According to the post, the children only opened up about their experiences after returning to the US, revealing the stress they had endured while studying in Bengaluru.

"The general atmosphere in school was harsh and toxic and not respectful to students," the parent wrote.

'IB curriculum relied on memorisation'

One of the strongest criticisms centred on classroom teaching. Despite the school advertising an IB and IGCSE-based curriculum, the parent alleged that learning remained heavily dependent on memorisation rather than conceptual understanding or project-based education.

"The curriculum relied a lot on information to be memorised than on projects or true understanding, especially in science," the post stated.

The parent also claimed that parents had to constantly monitor their children's studies to keep pace with the academic workload, particularly for students who were not naturally organised.

Bullying complaints allegedly ignored

The Reddit user further alleged that bullying was a persistent issue and that complaints were not adequately addressed when students from influential families were involved.

According to the post, the younger child experienced bullying, but teachers allegedly failed to take effective action because the students accused of bullying belonged to well-connected families.

The allegations have reignited discussions around accountability, student welfare, and grievance redressal mechanisms in premium private schools.

Concerns over religious influence

Another issue highlighted in the viral post was the alleged promotion of Christianity within the school.

Although the institution was perceived by parents as secular, the Redditor claimed that regular Bible readings were conducted and that Christian teachings were more prominent than expected.

The parent said their children felt Christianity was promoted more actively in the Bengaluru school than in the public schools they attended in the United States.

'Robotics taught through rote learning'

The parent also questioned the school's practical learning approach, claiming that science laboratories and hands-on activities were largely absent.

Comparing the experience with schools in the US, the Reddit user said American middle-school students regularly participate in field trips, scientific experiments and dissections, while the Bengaluru school allegedly offered limited practical exposure.

The post further claimed that robotics education relied on rote learning, with students reportedly memorising programming code for written examinations instead of building or programming robots through practical exercises.

University admissions remained a positive

Despite the criticism, the parent acknowledged that the school delivered strong university admission outcomes.

According to the post, the family's elder daughter secured admission to a reputed university abroad along with a substantial scholarship, which the parent attributed partly to the school's academic reputation and international university network.

However, the parent argued that strong college placements should not overshadow concerns relating to student well-being, classroom culture and learning quality.

Viral post fuels wider discussion

The Reddit post has generated significant discussion on social media, with many users sharing similar experiences while others defended international schools, saying standards vary considerably between institutions.

Education experts have often advised parents to evaluate factors beyond curriculum labels such as IB or IGCSE, including teaching methodology, student support systems, anti-bullying policies, faculty quality, extracurricular opportunities and overall school culture before making admission decisions.

As increasing numbers of Indian families seek globally recognised school education, the viral account has once again highlighted that international curricula alone may not guarantee a positive educational experience, underscoring the importance of thoroughly assessing individual schools before enrolment.

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