#FactCheck-AI-Generated Video Falsely Shows Samay Raina Making a Joke on Rekha

Governments in nations across the globe are consequently vying to draw in data centre investments as components of the wider AI sovereignty policies. However, recent events in Ireland make it clear that such an infrastructure is associated with significant environmental and social price tags. In geographically dense and resource-strained countries such as India, these trade-offs pose some pressing questions of whether today's AI ambitions are socially or environmentally sustainable. The data centre crisis in Ireland provides a handy reminder. It puts emphasis on the capacity of land use, water stress, energy demand, and disruption of communities to amplify quickly as digital infrastructure continues to increase at a faster rate than the regulatory and ecological capacity. These lessons should be paid close attention to as India continues to develop the IndiaAI Mission and establish itself as an AI hub in the future.

Why Data Centres Are Ecological Stress Multipliers

The data centres are sometimes referred to as clean digital infrastructure; however, in an actual sense, they are heavy industrial guardians of resources. Centres of large proportions demand an extensive amount of land, constant electricity, and a significant amount of water to cool down. 

The most apparent effect is on energy consumption. Data centres are 24/7, round the clock, and need to be powered with a high-quality and stable electricity supply. By 2022, data centres had more than a quarter of the overall national electricity demand in Ireland, which created problems regarding grid stability and energy security (EirGrid, 2022). This compelled regulators to limit new connections in some of the areas. These trends also bring some similarities to certain regions of the United States, especially in Virginia, where particular data centres have led to peaks in the electricity demand in the region (U.S. Energy Information Administration, 2023).

Another primary source of pressure is the use of water. Heavy liquid coolers are very intensive systems in data centres, which tend to use the local freshwater sources. This may directly compete with residential and agricultural requirements in case of heatwaves or drought. In the western US, environmental advocates have issued notices that data centres contribute to a water deficit in other overextended basins (New York Times, 2023).

It also depends on local pollution and land use. Data centres are normally constructed on large plots close to urban or peri-urban centres, having good accessibility. This may push aside farmlands, increase property rates, and change local ecologies. The backup diesel generators, which are employed during power cuts, add to air and noise pollutants, and they thus impact the adjacent communities.

Ireland’s Experience and the Social Backlash

The low corporate taxes, cool climate, and PIC access to the EU market made Ireland a big data centre hub. The concentration of facilities around Dublin was, however, done unintentionally, leading to its rapid concentration. The population in their local communities also experienced mounting housing pressure, power competition, and underemployment because the number of long-term jobs created by a data centre is comparatively low.

The Irish government later realised that data centre expansion was causing strain on climate commitments and electricity infrastructure on a national level. The grid operators started denying new connections to data centres in sections of the country, which amounted to a kind of moratorium on further growth (TechPolicy.Press, 2024). What was initially a digital success story became a government issue, an ecology versus economic plan clash.

This experience particularly applies to smaller or densely populated countries. Countries such as Ireland and India have concentrated influences on fewer points, unlike the United States or China, which are able to spread data centres over wide areas.

India’s Emerging Data Centre Geography

India is advertising data centres as a way of advancing its digital and AI platforms. There are a number of states that have published data centre policies, such as Maharashtra, Tamil Nadu, Telangana, and Uttar Pradesh. The connectivity, financial infrastructure, and location to large user bases are making Mumbai, Chennai, Hyderabad, and Noida major hubs (MeitY, 2023).

Nevertheless, these areas are already stressed in terms of the environment. Mumbai also suffers from land shortage and flooding. There is a permanent water scarcity in Chennai. Hyderabad and Noida cannot cope with the intensity of population growth and energy demand in urban areas. Locating such large-scale data centres in these locations will pose a risk of augmenting the existing vulnerabilities instead of decentralising the benefits of development.

India, in contrast to the United States or China, does not have continental-scale low-density areas with spare water and power near demand centres. Each additional data centre in India is thus likely to have an impact on an increasing number of people per unit of infrastructure, by land acquisition, water diversion, grid pressure, or environmental externalities.

Community Impacts and Uneven Costs

The cost incurred by local communities to increase their data centre expansion is not proportionate to the benefits enjoyed. The after construction efforts to generate employment is minimal and the long term effects include strains on infrastructure. Tariffs can be increased with the growth of electric power demand. The extraction of water may have impacts on local supply. The prices of real estate may crowd out the lower-income population.

These impacts may be enhanced in India, where urban inequality is already high. The informal settlements along the industrial areas are such that they are vulnerable to pollution as well as diversion of resources. Data centres will otherwise be yet another project that creates unequal development without proper consultation with the community and other environmental protection measures.

What This Means for India’s AI Sovereignty Plans

The IndiaAI Mission of India focuses on developing local AI potential, data networks, and processing units to minimise the use of external systems ( IndiaAI Mission Document, 2024). This vision is based on data centres. Nevertheless, the concept of simple AI autonomy is made difficult by ecological limits.

An AI infrastructure that compromises water security, energy availability, or climate objectives could come under opposition and regulation backlash, as in the case of Ireland. This would delay deployment and add up to more expenses. Physical expansion is not sufficient to have true AI sovereignty. It should also take into consideration sustainability, decentralisation, and efficiency.

This brings about strategic concerns. India must invest more vigorously in energy-efficient computing, edge AI and model optimisation as opposed to scale. Is renewable energy integration viable to maintain the information centre demand? Is data centre siting to comply with long term water and land use planning, and not the short-term incentives of investment?

Towards a Sustainable Digital Infrastructure Strategy

India can still afford to learn not to repeat the errors experienced elsewhere. This will necessitate data centres being regarded as digital assets, not important infrastructures that have an environmental and social impact. Both more robust environmental impact assessments and public water and energy accounting and community involvement must become unavoidable.

From an AI policy perspective, sustainability should be seen as a pillar of sovereignty. An AI ecosystem that depends on fragile ecological foundations is not resilient. By learning from Ireland and adapting global lessons to local realities, India can pursue AI leadership without creating new environmental crises.

The future of AI will not be decided only by algorithms and talent. It will also be shaped by land, water, energy, and the communities that live alongside digital infrastructure. Ignoring those realities would make AI ambition fragile rather than sovereign.

References

• TechPolicy.Press. What Ireland’s Data Center Crisis Means for the EU’s AI Sovereignty Plans. 2024. https://techpolicy.press
• EirGrid. Electricity Demand Forecast Statement. 2022. https://www.eirgridgroup.com
• U.S. Energy Information Administration. Data Centers and Energy Demand. 2023. https://www.eia.gov
• New York Times. Data Centers Are Straining Water Supplies in the American West. 2023. https://www.nytimes.com 
• Ministry of Electronics and Information Technology. India Data Centre Policy and Digital Infrastructure Initiatives. 2023. https://www.meity.gov.in
• IndiaAI Mission. Official Mission Document and Framework. 2024. https://indiaai.gov.in

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The World Economic Forum reported that AI-generated misinformation and disinformation are the second most likely threat to present a material crisis on a global scale in 2024 at 53% (Sept. 2023). Artificial intelligence is automating the creation of fake news at a rate disproportionate to its fact-checking. It is spurring an explosion of web content mimicking factual articles that instead disseminate false information about grave themes such as elections, wars and natural disasters. 

According to a report by the Centre for the Study of Democratic Institutions, a Canadian think tank, the most prevalent effect of Generative AI is the ability to flood the information ecosystem with misleading and factually-incorrect content. As reported by Democracy Reporting International during the 2024 elections of the European Union, Google's Gemini, OpenAI’s ChatGPT 3.5 and 4.0, and Microsoft’s AI interface ‘CoPilot’ were inaccurate one-third of the time when engaged for any queries regarding the election data.   Therefore, a need for an innovative regulatory approach like regulatory sandboxes which can address these challenges while encouraging responsible AI innovation is desired.

What Is AI-driven Misinformation?

False or misleading information created, amplified, or spread using artificial intelligence technologies is AI-driven misinformation. Machine learning models are leveraged to automate and scale the creation of false and deceptive content. Some examples are deep fakes, AI-generated news articles, and bots that amplify false narratives on social media.

The biggest challenge is in the detection and management of AI-driven misinformation. It is difficult to distinguish AI-generated content from authentic content, especially as these technologies advance rapidly. 

AI-driven misinformation can influence elections, public health, and social stability by spreading false or misleading information. While public adoption of the technology has undoubtedly been rapid, it is yet to achieve true acceptance and actually fulfill its potential in a positive manner because there is widespread cynicism about the technology - and rightly so. The general public sentiment about AI is laced with concern and doubt regarding the technology’s trustworthiness, mainly due to the absence of a regulatory framework maturing on par with the technological development. 

Regulatory Sandboxes: An Overview

Regulatory sandboxes refer to regulatory tools that allow businesses to test and experiment with innovative products, services or businesses under the supervision of a regulator for a limited period. They engage by creating a controlled environment where regulators allow businesses to test new technologies or business models with relaxed regulations.

Regulatory sandboxes have been in use for many industries and the most recent example is their use in sectors like fintech, such as the UK’s Financial Conduct Authority sandbox. These models have been known to encourage innovation while allowing regulators to understand emerging risks. Lessons from the fintech sector show that the benefits of regulatory sandboxes include facilitating firm financing and market entry and increasing speed-to-market by reducing administrative and transaction costs. For regulators, testing in sandboxes informs policy-making and regulatory processes. Looking at the success in the fintech industry, regulatory sandboxes could be adapted to AI, particularly for overseeing technologies that have the potential to generate or spread misinformation.

The Role of Regulatory Sandboxes in Addressing AI Misinformation

Regulatory sandboxes can be used to test AI tools designed to identify or flag misinformation without the risks associated with immediate, wide-scale implementation. Stakeholders like AI developers, social media platforms, and regulators work in collaboration within the sandbox to refine the detection algorithms and evaluate their effectiveness as content moderation tools.

These sandboxes can help balance the need for innovation in AI and the necessity of protecting the public from harmful misinformation. They allow the creation of a flexible and adaptive framework capable of evolving with technological advancements and fostering transparency between AI developers and regulators. This would lead to more informed policymaking and building public trust in AI applications.

CyberPeace Policy Recommendations 

Regulatory sandboxes offer a mechanism to predict solutions that will help to regulate the misinformation that AI tech creates. Some policy recommendations are as follows: 

1. Create guidelines for a global standard for including regulatory sandboxes that can be adapted locally and are useful in ensuring consistency in tackling AI-driven misinformation.
2. Regulators can propose to offer incentives to companies that participate in sandboxes. This would encourage innovation in developing anti-misinformation tools, which could include tax breaks or grants.
3. Awareness campaigns can help in educating the public about the risks of AI-driven misinformation and the role of regulatory sandboxes can help manage public expectations.
4. Periodic and regular reviews and updates to the sandbox frameworks should be conducted to keep pace with advancements in AI technology and emerging forms of misinformation should be emphasized.

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Conclusion and the Challenges for Regulatory Frameworks

Regulatory sandboxes offer a promising pathway to counter the challenges that AI-driven misinformation poses while fostering innovation. By providing a controlled environment for testing new AI tools, these sandboxes can help refine technologies aimed at detecting and mitigating false information. This approach ensures that AI development aligns with societal needs and regulatory standards, fostering greater trust and transparency. With the right support and ongoing adaptations, regulatory sandboxes can become vital in countering the spread of AI-generated misinformation, paving the way for a more secure and informed digital ecosystem.

References

• https://www.thehindu.com/sci-tech/technology/on-the-importance-of-regulatory-sandboxes-in-artificial-intelligence/article68176084.ece
• https://www.oecd.org/en/publications/regulatory-sandboxes-in-artificial-intelligence_8f80a0e6-en.html
• https://www.weforum.org/publications/global-risks-report-2024/
• https://democracy-reporting.org/en/office/global/publications/chatbot-audit#Conclusions

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Executive Summary:

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A viral video circulating on social media platforms, claimed to show the final moments of an Air India flight carrying passengers inside the cabin just before it crashed near Ahmedabad on June 12, 2025, is false. However, upon further research, the footage was found to originate from the Yeti Airlines Flight 691 crash that occurred in Pokhara, Nepal, on January 15, 2023. For all details, please follow the report.

Claim:

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Viral videos circulating on social media claiming to show the final moments inside Air India flight AI‑171 before it crashed near Ahmedabad on June 12, 2025. The footage appears to have been recorded by a passenger during the flight and is being shared as real-time visuals from the recent tragedy. Many users have believed the clip to be genuine and linked it directly to the Air India incident.

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Fact Check:

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To confirm the validity of the video going viral depicting the alleged final moments of Air India's AI-171 that crashed near Ahmedabad on 12 June 2025, we engaged in a comprehensive reverse image search and keyframe analysis then we got to know that the footage occurs back in January 2023, namely Yeti Airlines Flight 691 that crashed in Pokhara, Nepal. The visuals shared in the viral video match up, including cabin and passenger details, identically to the original livestream made by a passenger aboard the Nepal flight, confirming that the video is being reused out of context.

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Moreover, well-respected and reliable news organisations, including New York Post and NDTV, have shared reports confirming that the video originated from the 2023 Nepal plane crash and has no relation to the recent Air India incident. The Press Information Bureau (PIB) also released a clarification dismissing the video as disinformation. Reliable reports from the past, visual evidence, and reverse search verification all provide complete agreement in that the viral video is falsely attributed to the AI-171 tragedy.

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Conclusion:

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The viral footage does not show the AI-171 crash near Ahmedabad on 12 June 2025. It is an irrelevant, previously recorded livestream from the January 2023 Yeti Airlines crash in Pokhara, Nepal, falsely repurposed as breaking news. It’s essential to rely on verified and credible news agencies. Please refer to official investigation reports when discussing such sensitive events.

• Claim: A dramatic clip of passengers inside a crashing plane is being falsely linked to the recent Air India tragedy in Ahmedabad.
• Claimed On: Social Media
• ‍Fact Check: False and Misleading

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