#FactCheck- AI-Generated Video Falsely Claims Free Mobile Phones for Ration Card Holders

Introduction

China is on the verge of unveiling a new policy that will address how Artificial Intelligence (AI) influences employment. On January 27, 2026, the Ministry of Human Resources and Social Security (MOHRSS) announced it would publish a paper on the contribution of AI to the labour and employment markets. The policy will include provisions to help impacted industries, expand assistance to young workers and graduates, and come up with interdisciplinary training programmes to equip individuals with jobs in an AI-enabled economy. The authorities have stressed that AI does not kill jobs but changes them, and education will be needed to assist employees in adjusting to the changes.

This announcement reflects a more proactive policy on AI-based changes in labour, showing that China intends to sustain economic modernisation through AI, as well as social stability. It also depicts wider international issues concerning the rate of automation and the necessity of considering labour and training policy. 

AI and the Changing Nature of Work

AI is transforming work content and nature in industries. AI systems enhance the productivity of various functions, including data processing, logistics, and customer service, although they alter the nature of tasks carried out by humans. Extant studies indicate that although AI can automate routine activities, new occupations that require complex thinking, management of artificial intelligence, and skills related to people, including empathy, creativity, and problem-solving, may be generated.

This is the key nuance in the policy framing of China. Authorities point out that AI does not always result in massive unemployment. Instead, it transforms jobs and necessitates workers to change to new task profiles. This perspective is in line with the recent reports of the world research organisations, which predict the effects of AI as transformational and not necessarily destructive. As an example, the World Economic Forum Future Jobs Report 2023 observes that the change in technology will introduce new jobs that were not there 10 years ago, and retraining and upskilling will be instrumental in accessing those opportunities.

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Key Components of China’s Policy Response

China’s forthcoming policy is expected to focus on three main areas that address both current workforce needs and future readiness.

Support for Key Industries

The policy will offer targeted assistance to sectors where artificial intelligence is gaining pace. Industries like advanced manufacturing, high-tech services, and online logistics will also get specialised assistance to assist companies in using AI to complement human labour and not just to replace it. The Chinese government tries to balance industrial upgrading with employment by channelling resources to the growth areas.

Assistance for Youth and Graduates

The youth and the recent graduates are entering a labour market that is changing rapidly. The policy aims to increase the support services to this population by career counselling, internships, and training programmes correlated with changing employer demands. According to a study by McKinsey Global Institute, the young workforce all over the globe can face disproportionate disruption in case the prospects of training are scarce, making initial career backing imperative.

Interdisciplinary Talent Development

The Chinese strategy focuses on interdisciplinary training that blends knowledge of domains and AI literacy and digital illiteracy. This is indicative of the realisation that hybrid skills are required in the future. The Organisation for Economic Cooperation and Development suggests that workers who can make it through the technical and non-technical elements of work will stand a better chance of winning in the AI age.

These components show that China’s strategy is not simply to protect existing jobs but to help workers transition to roles that leverage AI’s strengths.

Economy, Stability and Strategic Modernisation

The policy is an attempt to control technological transition as part of wider economic planning. It is an indication that the government regards AI as a structural change rather than an external shock that can be predicted and influenced by policy.

This is in contrast to some other reactions to labour markets in other countries, where the reactionary approach has been seen as a reaction to the job losses that have already become reality. The initiative by China implies that there should be a change in the manner in which one can expect change instead of reacting to change.

Global Comparisons and Shared Challenges

Governments worldwide are testing the options to adapt to the work effects of AI. The European Union is considering the individual learning account and portable training benefits, which would assist workers to gain access to reskilling opportunities in the course of their careers. In the US, there is a concerted effort by the public-private partnerships to match the development of the workforce with technological implementation.

The strategy of China has some of these components, but it stands out due to its incorporation with national planning processes. China wants the adoption of AI to help it achieve the common good and not division by connecting the workforce policy to the overall innovation and economic purpose.

Meanwhile, the issue of balancing the supply of labour with the demand of technology is a challenge of its own to countries with older populations and relatively smaller working forces. The timing and design of policy are particularly significant in China, as there is a large labour force and continuous changes in demography.

Practical Challenges and Risks

The success of China’s emerging policy will depend on effective implementation. Several practical issues will require careful attention:

Ensuring Equitable Access to Training

The labour force in China is diversified, and it goes through technology zones in cities and other rural areas. It will be paramount to make sure that the opportunity of upskilling is extended to all workers across the spectrum to prevent the further worsening of regional inequalities. Research conducted on reskilling across the globe shows that rural and low-income groups tend to lack access to training, despite the availability of programmes.

Aligning Training with Labour Demand

The programme of upskilling should be related to the market requirements. Disconnected training is prone to resulting in the production of skills that are obsolete or not applicable in actual work settings. Experience in emerging economies indicates that the involvement of employers in the training design enhances placement success on the part of the learner.

Private Sector Participation

The policy needs to be translated into employment outcomes with the help of private companies. Incentives to make firms invest in worker training, internships, and apprenticeships will enable workers to shift to AI-augmented jobs with ease.

A Model for AI Workforce Policy

The Chinese policy can serve as an example for other countries that want to balance technological advancement and labour market security. It acknowledges the fact that the effect of AI on employment is not only a technical or an economic problem but also a social challenge. Through foregrounding training, support, and coordinated action, China aims to create a future where people are ready to change and not lose their jobs to this change.

This strategy can be agreed with the suggestions of international organisations like the World Bank and the OECD, which insist on the idea of lifelong learning and flexibility of labour markets, as well as proactive investment in human capital as the main aspects of the labour policy in the future.

Conclusion

Artificial intelligence will continue to reshape work around the world. China’s forthcoming policy, which emphasises support, training and strategic integration of AI into labour markets, reflects a proactive and holistic view of technological transition. Other countries could benefit from studying this approach, especially in terms of linking workforce development with innovation goals.

By anticipating disruption and investing in people as well as technology, policymakers can help ensure that AI becomes a driver of shared economic opportunity rather than a source of exclusion. The balance between innovation and employment will shape not only economic outcomes but also social cohesion in the years ahead.

References

• https://www.stcn.com/article/detail/3615689.html
• https://www.weforum.org/publications/the-future-of-jobs-report-2023/ 
• https://www.mckinsey.com/featured-insights/future-of-work 

https://www.oecd.org/en/topics/employment.html

Introduction

Google is committed to supporting the upcoming elections in India by providing high-quality information to voters, safeguarding platforms from abuse, and helping people navigate AI-generated content. Google will connect voters to helpful information through enhanced features, collaborating with the Election Commission of India (ECI) to provide voting information in both English and Hindi. Emphasis is also placed on showcasing authoritative information on YouTube. YouTube will highlight authoritative news sources and offer context on topics prone to misinformation. YouTube also appends information panels directing viewers to the Election Commission of India's FAQs. This support will help millions of eligible voters navigate the electoral process and ensure a fair and transparent election process.

Key Highlights of Google’s Approach

The step taken by Google will support the democratic process during the upcoming General Election in India. The initiative focuses on three main pillars: disseminating information, tackling misinformation, and navigating AI-generated content.  Google is enhancing its Search and YouTube features to provide essential election-related information, including voter registration, polling guidelines, and candidate profiles. Google is also addressing the challenges posed by AI-generated content by offering clarity on content origins, particularly for election-related ads and YouTube videos. Google has strict policies and restrictions regarding who can run election-related advertising on its platforms, including identity verification, pre-certificates, and in-ad disclosures. Additionally, Google is utilising tools and policies like Ads disclosures, content labels on YouTube, and digital watermarking to help users to identify AI-generated content.

Google has joined hands with ECI

The tech giant Google is partnering with the Election Commission of India (ECI) to provide voting information on Google Search in both English and Hindi. YouTube will feature election information panels, including candidate profiles and registration guidelines, ensuring users have access to authoritative sources. Google's recommendation system will display content from trusted publishers on election-related topics. Protecting the integrity of elections is a top priority, and the company is employing advanced AI models and machine learning techniques to identify and remove content that violates its policies at scale. A dedicated team of local experts across major Indian languages is assigned to provide relevant context and ensure swift action against emerging threats. Google is also tightening up who can advertise on its platforms, requiring advertisers to undergo an identity verification process and obtain a pre-certificate from the ECI or authorised entities for each election ad they wish to run.

Tackling Electoral Misinformation

Google is enhancing its platform security measures to prevent misinformation. It is using AI models and human expertise to identify and address policy violations, while stringent verification processes and disclosures are being implemented to maintain user trust.

Collaborations to promote reliable information

Google is supporting the Shakti, India Election Fact-Checking Collective, a consortium of news publishers and fact checkers to detect online misinformation, including deepfakes. The project will provide news entities and fact checkers with essential training in fact-checking methodologies, deepfake detection, and the latest Google tools to streamline verification processes, as stated in Google’s blog post.

Conclusion

Google has taken proactive steps to ensure a secure electoral process during the upcoming general elections in India. These include preventing the misuse of false information by helping voters navigate AI-generated content and safeguarding its platforms from abuse. Google India has built faster and more adaptable enforcement systems with recent advances in its Large Language Models (LLMs), enabling the company to remain nimble and take action quickly when new threats emerge. Google is dedicated to collaborating with government, industry, and civil society to provide voters with reliable and trustworthy online information. Google is implementing a comprehensive strategy to empower voters, safeguard its platforms, and combat misinformation in India's upcoming general elections. Google’s step is commendable and aims to ensure a secure electoral process, empowering millions of citizens to exercise their democratic rights.

References:

• https://blog.google/intl/en-in/company-news/outreach-initiatives/supporting-the-2024-indian-general-election/
• https://inc42.com/buzz/following-gemini-row-google-strengthens-checks-on-ai-generated-content-before-elections/#:~:text=In%20an%20effort%20to%20ensure,safeguarding%20its%20platforms%20from%20abuse
• https://www.indiatvnews.com/technology/news/google-introduces-enhanced-tools-for-supporting-elections-in-india-2024-03-12-921096
• https://economictimes.indiatimes.com/news/elections/lok-sabha/india/google-ties-up-with-eci-to-prevent-spread-of-false-information/articleshow/108431021.cms?from=mdr
• https://www.businesstoday.in/technology/news/story/google-joins-hands-with-election-commission-of-india-to-help-voters-via-search-youtube-421112-2024-03-12
• https://indianexpress.com/article/technology/tech-news-technology/google-2024-general-elections-support-9209588/

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Introduction 

Public infrastructure has traditionally served as the framework for civilisation, transporting people, money, and ideas across time and space, from the iron veins of transcontinental railroads to the unseen arteries of the internet. In democracies where free markets and public infrastructure co-exist, this framework has not only facilitated but also accelerated progress. Digital Public Infrastructure (DPI), which powers inclusiveness, fosters innovation, and changes citizens from passive recipients to active participants in the digital age, is emerging as the new civic backbone as we move away from highways and towards high-speed data. 

DPI makes it possible for innovation at the margins and for inclusion at scale by providing open-source, interoperable platforms for identities, payments, and data exchange. Examples of how the Global South is evolving from a passive consumer of technology to a creator of globally replicable governance models are India’s Aadhaar (digital identification), UPI (real-time payments), and DigiLocker (data empowerment). As the ‘digital commons’ emerges, DPI does more than simply link users; it also empowers citizens, eliminates inefficiencies from the past, and reimagines the creation and distribution of public value in the digital era. 

Securing the Digital Infrastructure: A Contemporary Imperative

As humans, we are already the inhabitants of the future, we stand at the temporal threshold for reform. Digital Infrastructure is no longer just a public good. It’s now a strategic asset, akin to oil pipelines in the 20th century. India is recognised globally for the introduction of “India Stack”, through which the face of digital payments has also been changed. The economic value contributed by DPIs to India’s GDP is predicted to reach 2.9-4.2 percent by 2030, having already reached 0.9% in 2022. Its role in India’s economic development is partly responsible for its success; among emerging market economies, it helped propel India to the top of the revenue administrations’ digitalisation index. The other portion has to do with how India’s social service delivery has changed across the board. By enabling digital and financial inclusion, it has increased access to education (DIKSHA) and is presently being developed to offer agricultural (VISTAAR) and digital health (ABDM) services. 

Securing the Foundations: Emerging Threats to Digital Public Infrastructure

The rising prominence of DPI is not without its risks, as adversarial forces are developing with comparable sophistication. The core underpinnings of public digital systems are the target of a new generation of cyber threats, ranging from hostile state actors to cybercriminal syndicates. The threats pose a great risk to the consistent development endeavours of the government. To elucidate, targeted attacks on Biometric databases, AI-based Misinformation and Psychological Warfare, Payment System Hacks, State-sponsored malware, cross-border phishing campaigns, surveillance spyware and Sovereign Malware are modern-day examples of cyber threats. 

To secure DPI, a radical rethink beyond encryption methods and perimeter firewalls is needed. It requires an understanding of cybersecurity that is systemic, ethical, and geopolitical. Democracy, inclusivity, and national integrity are all at risk from DPI. To preserve the confidence and promise of digital public infrastructure, policy frameworks must change from fragmented responses to coordinated, proactive and people-centred cyber defence policies.

CyberPeace Recommendations

Powering Progress, Ignoring Protection: A Precarious Path

The Indian government is aware that cyberattacks are becoming more frequent and sophisticated in the nation. To address the nation’s cybersecurity issues, the government has implemented a number of legislative, technical, and administrative policy initiatives. While the initiatives are commendable, there are a few Non-Negotiables that need to be in place for effective protection: 

• DPIs must be declared Critical Information Infrastructure. In accordance with the IT Act, 2000, the DPI (Aadhaar, UPI, DigiLocker, Account Aggregator, CoWIN, and ONDC) must be designated as Critical Information Infrastructure (CII) and be supervised by the NCIIPC, just like the banking, energy, and telecom industries. Give NCIIPC the authority to publish required security guidelines, carry out audits, and enforce adherence to the DPI stack, including incident response protocols tailored to each DPI. 
• To solidify security, data sovereignty, and cyber responsibility, India should spearhead global efforts to create a Global DPI  Cyber Compact through the “One Future Alliance” and the G20. To ensure interoperable cybersecurity frameworks for international DPI projects, promote open standards, cross-border collaboration on threat intelligence, and uniform incident reporting guidelines. 
• Establish a DPI Threat Index to monitor vulnerabilities, including phishing attacks, efforts at biometric breaches, sovereign malware footprints, spikes in AI misinformation, and patterns in payment fraud. Create daily or weekly risk dashboards by integrating data from state CERTs, RBI, UIDAI, CERT-In, and NPCI. Use machine learning (ML) driven detection systems. 
• Make explainability audits necessary for AI/ML systems used throughout DPI to make sure that the decision-making process is open, impartial, and subject to scrutiny (e.g., welfare algorithms, credit scoring). Use the recently established IndiaAI Safety Institute in line with India’s AI mission to conduct AI audits, establish explanatory standards, and create sector-specific compliance guidelines. 

References

• https://orfamerica.org/newresearch/dpi-catalyst-private-sector-innovation?utm_source=chatgpt.com 
• https://www.institutmontaigne.org/en/expressions/indias-digital-public-infrastructure-success-story-world 
• https://www.pib.gov.in/PressReleasePage.aspx?PRID=2116341 
• https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2033389 
• https://www.governancenow.com/news/regular-story/dpi-must-ensure-data-privacy-cyber-security-citizenfirst-approach 

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