#FactCheck -Viral Video of Electric Car Powered by Generator Is AI-Generated

India is the world's largest democracy, and conducting free and fair elections is a mammoth task shouldered by the Election Commission of India. But technology is transforming every aspect of the electoral process in the digital age, with Artificial Intelligence (AI) being integrated into campaigns, voter engagement, and election monitoring. In the upcoming Bihar elections of 2025, all eyes are on how the use of AI will influence the state polls and the precedent it will set for future elections.

Opportunities: Harnessing AI for Better Elections

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Breaking Language Barriers with AI: 

AI is reshaping political outreach by making speeches accessible in multiple languages. At the Kashi Tamil Sangamam in 2024, the PM’s Hindi address was AI-dubbed in Tamil in real time. Since then, several speeches have been rolled out in eight languages, ensuring inclusivity and connecting with voters beyond Hindi-speaking regions more effectively.

Monitoring and Transparency 

During Bihar’s Panchayat polls, the State Election Commission used Staqu’s JARVIS, an AI-powered system that connects with CCTV cameras to monitor EVM screens in real time. By reducing human error, JARVIS brought greater accuracy, speed, and trust to the counting process.

AI for Information Access on Public Service Delivery

NaMo AI is a multilingual chatbot that citizens can use to inquire about the details of public services. The feature aims to make government schemes easy to understand, transparent, and help voters connect directly with the policies of the government. 

Personalised Campaigning   

AI is transforming how campaigns connect with voters. By analysing demographics and social media activity, AI builds detailed voter profiles. This helps craft messages that feel personal, whether on WhatsApp, a robocall, or a social media post, ensuring each group hears what matters most to them. This aims to make political outreach sharper and more effective.

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Challenges: The Dark Side of AI in Elections

Deepfakes and Disinformation

AI-powered deepfakes create hyper-realistic videos and audio that are nearly impossible to distinguish from the real. In elections, they can distort public perception, damage reputations, or fuel disharmony on social media. There is a need for mandatory disclaimers stating when content is AI-generated, to ensure transparency and protect voters from manipulative misinformation.

Data Privacy and Behavioural Manipulation

Cambridge Analytica’s consulting services, provided by harvesting the data of millions of users from Facebook without their consent,  revealed how personal data can be weaponised in politics. This data was allegedly used to “microtarget” users through ads, which could influence their political opinions. Data mining of this nature can be supercharged through AI models, jeopardising user privacy, trust, safety, and casting a shadow on democratic processes worldwide. 

Algorithmic Bias

AI systems are trained on datasets.  If the datasets contain biases, AI-driven tools could unintentionally reinforce stereotypes or favor certain groups, leading to unfair outcomes in campaigning or voter engagement.

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The Road Ahead: Striking a Balance

The adoption of AI in elections opens a Pandora's box of uncertainties.  On the one hand, it offers solutions for breaking language barriers and promoting inclusivity. On the other hand, it opens the door to manipulation and privacy violations. 

To counter risks from deepfakes and synthetic content, political parties are now advised to clearly label AI-generated materials and add disclaimers in their campaign messaging. In Delhi, a nodal officer has even been appointed to monitor social media misuse, including the circulation of deepfake videos during elections. The Election Commission of India constantly has to keep up with trends and tactics used by political parties to ensure that elections remain free and fair.  

Conclusion

With Bihar’s pioneering experiments with JARVIS in Panchayat elections to give vote counting more accuracy and speed,  India is witnessing both sides of this technological revolution. The challenge lies in ensuring that AI strengthens democracy rather than undermining it. Deepfakes algorithms, bias, and data misuse remind us of the risk of when technology oversteps. The real challenge is to strike the right balance in embracing AI for elections to enhance inclusivity and transparency,  while safeguarding trust, privacy, and the integrity of democratic processes. 

References

• https://timesofindia.indiatimes.com/india/how-ai-is-rewriting-the-rules-of-election-campaign-in-india/articleshow/120848499.cms#
• https://m.economictimes.com/news/elections/lok-sabha/india/2024-polls-stand-out-for-use-of-ai-to-bridge-language-barriers/articleshow/108737700.cms
• https://www.ndtv.com/india-news/namo-ai-on-namo-app-a-unique-chatbot-that-will-answer-everything-on-pm-modi-govt-schemes-achievements-5426028 
• https://timesofindia.indiatimes.com/gadgets-news/staqu-deploys-jarvis-to-facilitate-automated-vote-counting-for-bihar-panchayat-polls/articleshow/87307475.cms 
• https://www.drishtiias.com/daily-updates/daily-news-editorials/deepfakes-in-elections-challenges-and-mitigation 
• https://internetpolicy.mit.edu/blog-2018-fb-cambridgeanalytica/ ‍
• https://www.deccanherald.com/elections/delhi/delhi-assembly-elections-2025-use-ai-transparently-eci-issues-guidelines-for-political-parties-3357978#

Executive Summary

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A video of Dr. Samir V. Kamat, Chairman of the Defence Research and Development Organisation (DRDO), is going viral on social media. In the clip, he appears to claim that Prime Minister Narendra Modi instructed scientists to wash the Agni-6 missile with cow urine, and later use a mixture of cow dung and urine to prevent rusting. Research by CyberPeace Research Wing found that the video is a deepfake, created by manipulating original footage using AI tools. It was also shared by an account previously known for posting anti-India misinformation and is reportedly banned in India.

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Claim

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An X user named “Lovely” shared the video on May 1, 2026, alleging that Indian scientists were using cow urine and dung in missile development under government direction. The post used derogatory language and criticized India’s scientific community.

• https://x.com/Lovely92698976/status/2050184105963471169?s=20 
• https://perma.cc/HA8S-DCBT 

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Fact Check

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To verify the claim, we searched relevant keywords on Google but found no credible media reports supporting such statements by the DRDO chief. We then extracted keyframes from the viral clip and conducted a reverse image search using Google Lens. This led us to the original video posted by ANI on April 30, 2026. The footage is from the National Security Summit 2.0, where Dr. Kamat spoke about India’s missile development programs.

In the authentic video, Dr. Kamat discusses short-range ballistic missiles like ‘Pralay’, and advancements in hypersonic glide and cruise missile technologies, including scramjet propulsion. There is no mention of cow urine, cow dung, or any such practices.

• https://x.com/ANI/status/2049746160454390189?s=20 

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Further analysis using AI detection tool Aurigin indicated an 88% probability that the viral video was AI-generated or manipulated.

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Conclusion

Our research confirms that the viral video is fake and AI-manipulated. Dr. Samir V. Kamat never made any statement about washing missiles with cow urine. The clip is a deepfake created to spread misinformation and mislead viewers.

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Introduction

Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration.  India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres. 

AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.

AI Technologies Bridging Language Gaps

AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.  

AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:

• Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide. 
• Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations. 
• AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.

Challenges and Limitations of AI Translation

While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:

• AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions. 
• These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations. 
• Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others. 
• Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising. 
• Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.

AI’s Future  in Language Translation

AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity. 

AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries. 

Conclusion

We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.

Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.

References

• https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
• https://pubmed.ncbi.nlm.nih.gov/38099504/ 
• https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
• https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education

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