#FactCheck - Viral Video of ‘Hatha Yogi’ Meditating on Snowy Mountain Is AI-Generated

In the rich history of humanity, the advent of artificial intelligence (AI) has added a new, delicate aspect. The aspect of promising technological advancement has the potential to either enrich the nest of our society or destroy it entirely. The latest straw in this complex nest is generative AI, a frontier teeming with both potential and perils. It is a realm where the ethereal concepts of cyber peace and resilience are not just theoretical constructs but tangible necessities.

The spectre of generative AI looms large over the digital landscape, casting a long shadow on the sanctity of data privacy and the integrity of political processes. The seeds of this threat were sown in the fertile soil of the Cambridge Analytica scandal of 2018, a watershed moment that unveiled the extent to which personal data could be harvested and utilized to influence electoral outcomes. However despite the indignation, the scandal resulted in meagre alterations to modus operandi of digital platforms.

Fast forward to the present day, and the spectre has only grown more ominous. A recent report by Human Rights Watch has shed light on the continued exploitation of data-driven campaigning in Hungary's re-election of Viktor Orbán. The report paints a chilling picture of political parties leveraging voter databases for targeted social media advertising, with the ruling Fidesz party even resorting to the unethical use of public service data to bolster its voter database.

The Looming Threat of Disinformation

As we stand on the precipice of 2024, a year that will witness over 50 countries holding elections, the advancements in generative AI could exponentially amplify the ability of political campaigns to manipulate electoral outcomes. This is particularly concerning in countries where information disparities are stark, providing fertile ground for the seeds of disinformation to take root and flourish.

The media, the traditional watchdog of democracy, has already begun to sound the alarm about the potential threats posed by deepfakes and manipulative content in the upcoming elections. The limited use of generative AI in disinformation campaigns has raised concerns about the enforcement of policies against generating targeted political materials, such as those designed to sway specific demographic groups towards a particular candidate.

Yet, while the threat of bad actors using AI to generate and disseminate disinformation is real and present, there is another dimension that has largely remained unexplored: the intimate interactions with chatbots. These digital interlocutors, when armed with advanced generative AI, have the potential to manipulate individuals without any intermediaries. The more data they have about a person, the better they can tailor their manipulations.

Root of the Cause 

To fully grasp the potential risks, we must journey back 30 years to the birth of online banner ads. The success of the first-ever banner ad for AT&T, which boasted an astounding 44% click rate, birthed a new era of digital advertising. This was followed by the advent of mobile advertising in the early 2000s. Since then, companies have been engaged in a perpetual quest to harness technology for manipulation, blurring the lines between commercial and political advertising in cyberspace.

Regrettably, the safeguards currently in place are woefully inadequate to prevent the rise of manipulative chatbots. Consider the case of Snapchat's My AI generative chatbot, which ostensibly assists users with trivia questions and gift suggestions. Unbeknownst to most users, their interactions with the chatbot are algorithmically harvested for targeted advertising. While this may not seem harmful in its current form, the profit motive could drive it towards more manipulative purposes.

If companies deploying chatbots like My AI face pressure to increase profitability, they may be tempted to subtly steer conversations to extract more user information, providing more fuel for advertising and higher earnings. This kind of nudging is not clearly illegal in the U.S. or the EU, even after the AI Act comes into effect. The market size of AI in India is projected to touch US$4.11bn in 2023. 

Taking this further, chatbots may be inclined to guide users towards purchasing specific products or even influencing significant life decisions, such as religious conversions or voting choices. The legal boundaries here remain unclear, especially when manipulation is not detectable by the user. 

The Crucial Dos/Dont's 

It is crucial to set rules and safeguards in order to manage the possible threats related to manipulative chatbots in the context of the general election in 2024.

First and foremost, candor and transparency are essential. Chatbots, particularly when employed for political or electoral matters, ought to make it clear to users what they are for and why they are automated. By being transparent, people are guaranteed to be aware that they are interacting with automated processes.

Second, getting user consent is crucial. Before collecting user data for any reason, including advertising or political profiling, users should be asked for their informed consent. Giving consumers easy ways to opt-in and opt-out gives them control over their data.

Furthermore, moral use is essential. It's crucial to create an ethics code for chatbot interactions that forbids manipulation, disseminating false information, and trying to sway users' political opinions. This guarantees that chatbots follow moral guidelines.

In order to preserve transparency and accountability, independent audits need to be carried out. Users might feel more confident knowing that chatbot behavior and data collecting procedures are regularly audited by impartial third parties to ensure compliance with legal and ethical norms.

Important "don'ts" to take into account. Coercion and manipulation ought to be outlawed completely. Chatbots should refrain from using misleading or manipulative approaches to sway users' political opinions or religious convictions.

Another hazard to watch out for is unlawful data collecting. Businesses must obtain consumers' express agreement before collecting personal information, and they must not sell or share this information for political reasons.

At all costs, one should steer clear of fake identities. Impersonating people or political figures is not something chatbots should do because it can result in manipulation and false information.

It is essential to be impartial. Bots shouldn't advocate for or take part in political activities that give preference to one political party over another. In encounters, impartiality and equity are crucial.

Finally, one should refrain from using invasive advertising techniques. Chatbots should ensure that advertising tactics comply with legal norms by refraining from displaying political advertisements or messaging without explicit user agreement.

Present Scenario

As we approach the critical 2024 elections and generative AI tools proliferate faster than regulatory measures can keep pace, companies must take an active role in building user trust, transparency, and accountability. This includes comprehensive disclosure about a chatbot's programmed business goals in conversations, ensuring users are fully aware of the chatbot's intended purposes.

To address the regulatory gap, stronger laws are needed. Both the EU AI Act and analogous laws across jurisdictions should be expanded to address the potential for manipulation in various forms. This effort should be driven by public demand, as the interests of lawmakers have been influenced by intensive Big Tech lobbying campaigns.

At present, India doesn’t have any specific laws pertaining to AI regulation. Ministry of Electronics and Information Technology (MEITY), is the executive body responsible for AI strategies and is constantly working towards a policy framework for AI. The Niti Ayog has presented seven principles for responsible AI which includes equality , inclusivity, safety, privacy, transparency, accountability, dependability and protection of positive human values.

Conclusion 

We are at a pivotal juncture in history. As generative AI gains more power, we must proactively establish effective strategies to protect our privacy, rights and democracy. The public's waning confidence in Big Tech and the lessons learned from the techlash underscore the need for stronger regulations that hold tech companies accountable. Let's ensure that the power of generative AI is harnessed for the betterment of society and not exploited for manipulation.

Reference

McCallum, B. S. (2022, December 23). Meta settles Cambridge Analytica scandal case for $725m. BBC News. https://www.bbc.com/news/technology-64075067

Hungary: Data misused for political campaigns. (2022, December 1). Human Rights Watch. https://www.hrw.org/news/2022/12/01/hungary-data-misused-political-campaigns

Statista. (n.d.). Artificial Intelligence - India | Statista Market forecast. https://www.statista.com/outlook/tmo/artificial-intelligence/india

Executive Summary

Amid ongoing tensions in West Asia, a video has been circulating on social media claiming that Prime Minister Narendra Modi urged women not to visit beauty parlours as part of an appeal related to fuel conservation. Users are widely sharing the clip as genuine. However, a fact-check by CyberPeace Research Wing  has found the claim to be false. The research revealed that the original video, which discussed saving petrol, diesel and cooking gas, has been digitally edited using AI tools and shared with a misleading narrative.

‍

Claim

‍

An Instagram user shared the viral video on May 15, 2026, claiming that the Prime Minister advised women against visiting beauty parlours.

• https://www.instagram.com/reel/DYWgQd9pbT6/ 
• https://archive.ph/f558G

‍

‍

‍

Fact Check

‍

A keyword-based search on Google did not return any credible media reports supporting the viral claim. To verify the video, keyframes were extracted and run through reverse image search. The original footage was traced to the official YouTube channel of Prime Minister Narendra Modi, uploaded on May 10, 2026.

• https://www.youtube.com/watch?v=CVcjdrtBHJ4 

‍

‍

The video shows a rally held in Hyderabad, where the Prime Minister appealed to the public to save fuel by adopting work-from-home practices, promoting swadeshi goods, and refraining from purchasing gold for one year. However, nowhere in the full video is there any mention of advising women not to visit beauty parlours.

Further analysis also raised suspicion that the viral clip had been digitally altered using AI tools. The video was scanned using the HIVE Moderation AI detection tool, which indicated that it is approximately 88% likely to be AI-generated or manipulated.

‍

Conclusion

‍

The viral video is misleading. The original speech by Prime Minister Narendra Modi about conserving petrol, diesel and cooking gas has been edited using AI tools and circulated with a false claim targeting women visiting beauty parlours.

‍

Introduction

India’s digital growth journey has been moving at a tremendous pace. According to MeitY’s report, India’s digital economy is expected to rise to US$ 500 billion by 2025, up from US$ 200 billion in 2019. The digitisation drive that we are experiencing is likely to foster and boost a favourable business environment that will attract rapid investment and augment economic growth across sectors. This will, in turn, compel businesses to adopt digital platforms as solutions to meet customer expectations. Due to accelerated digitisation, cyber risks often deter business growth. Cybercrimes are becoming more rampant and complex and the costs associated with such breaches are not only increasing but also becoming more systemic.

Development of the Cyber Insurance Landscape

Digitization of businesses started in the 1980s with the use of mainframes. Personal computers entered the game and further modified the landscape from the 2000s along with LANs, the internet and the dot-com boom of the 2000s. In the late 1990s, cyber-insurance was developed as a risk management tool to ensure information security. Coverage was limited, and clients included SMEs in need of insurance to qualify for tenders, or community banks too small to hedge the risks of their online banking operations. The first cyber insurance policy was written in 1997 through AIG, against hacking as a third-party liability policy. 

The current trends in the cyber insurance space are focused on the prevention of cyber risks, which by nature are hard to outline and constantly evolving. The result is that the buyers have limited clarity on the types of cyber risks covered under cyber insurance, and even lesser visibility on the scope and amount of optimum coverage. Unfamiliarity with the claim procedure and resolutions, ambiguous claim thresholds during settlements, and confusion around exclusions and coverage of regulatory fines and penalties under a purchased scheme further discourage potential buyers from seriously investing in cyber insurance products. 

Key Factors in Cyber Insurance Evolution and Its Role in Risk Management

The cyber insurance market in India has three key influencing factors, namely the speed of achieving digital maturity, government initiatives to digitise and enforce stringent cyber laws, and the evolving landscape with technology giants and MNCs entering the cyber insurance domain. The latter  are the catalyst for intensifying competition in this market. 

Advancements in technology in terms of AI, machine learning, big data, robotics, blockchain, augmented and virtual reality, and IoT are expected to reshape the insurance industry and help reach untapped audiences in a more digital-forward manner. With the absence of a standard cyber insurance policy, regulators need to take the following variables into consideration while developing cyber insurance policies: the risk insured against, the scope of the loss covered and the limits/ sub-limits.

Challenges 

With the complexity of cyber risks increasing exponentially the challenges to counter the same are growing too which is leading to gaps in the coverage offered for cyber threats. Resultantly, the compliance regulations are dependent on the risks which exist and cyber threat actors adopt new technologies faster and exploit them to their benefit. A lack of historical data and predictability in future cyber risks, the possibility of large overwhelming loss events, uncertainties among market participants about what is specifically covered under such policies, and legal battles over fundamental issues are some of the challenges identified.

Future Outlook/ Recommendations

India's cyber infrastructure requires a multi-faceted approach that involves collaboration between government, industry, and academia should be developed. Some recommendations are:

• Risk assessments should be a general practice and the cyber insurance policies should be simplified, clearing the mismatch between the premium paid and insurance coverage and there should be standard verbosity across cyber policy language.
• Promoting R&D tailored to India focused on education programs that have public-private partnerships and global collaborations to share threat intelligence, best practices, and expertise in critical infrastructure protection.
• Cyber insurance can also be promoted as compliance with the DPDP Act, which would lead to better development of cyber infrastructure and cyber hygiene practices.
• Regular updates to cyber insurance policies to ensure relevance and effectiveness. Insurers could create and offer holistic cyber insurance risk management plans.

Conclusion

According to a report by Deloitte in 2023, the cyber insurance market in India is expected to grow by 27-30 per cent in the coming years and it is currently valued at USD 50-60 million, while maintaining a steady 27-30 per cent CAGR in the past three years. The Indian cyber infrastructure’s nature is challenging, however, it offers opportunities for growth, innovation, and collaboration. A proactive approach, supported by robust policies, advanced technologies, and skilled professionals, will be essential to building a resilient cyber infrastructure capable of withstanding evolving threats.

Reference

• https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/financial-services/deloitte-nl-fsi-demystifying-cyber-insurance-coverage-report.pdf
• https://www.dnaindia.com/business/report-what-s-cyber-liablity-insurance-and-why-you-may-need-it-2136556‍
• https://economictimes.indiatimes.com/industry/banking/finance/insure/cyber-insurance-gains-momentum-in-india-set-to-witness-exponential-growth-deloitte/articleshow/104189297.cms?from=mdr