#FactCheck -AI-Generated Video Falsely Shows Giorgia Meloni Storming Out After Ending Agreements With Israel

Introduction

Artificial intelligence is often hailed as a democratiser of knowledge, opportunity and skill. It is set to improve diagnostics, personalised learning, and productivity to boost the economy, which can assist millions of people to leave poverty. However, this may be an incomplete picture. A report of the United Nations Development Programme in 2025 tells a more complex tale. The Next Great Divergence: Why AI May Widen Inequality Between Countries cautions that, unless acts are taken to intervene, AI will not alleviate inequality between countries but will instead concentrate benefits in already advantaged economies and increase risks in more vulnerable ones.

Two Gaps, One Crisis

AI is not going to create a level playing field: it has been injected into a world where there is unprecedented inequality. The report outlines two structural asymmetries that will influence the ways in which its effects manifest: a capability gap and a vulnerability gap. 

Those countries that have high connectivity, skills, compute and regulation will be in a position to reap a greater portion of the AI dividend. Others will be exposed to greater risks of job losses, information exclusion, misinformation, and the indirect consequences of increased energy and water demands. 

The centre of this transition is the Asia-Pacific region, that harbors a population of more than 55 per cent of the world. More than half of the global AI users are now located in the region, but the initial positions are quite different. Nations such as Singapore and South Korea are already spending a lot of money on AI infrastructure, with others still striving to offer basic broadband services. Two out of three individuals already use AI tools in certain high-income economies. In most countries with low incomes, the utilisation is lower. Such figures are important as they depict not only a gap in technology but also a structural difference in terms of who controls AI and who is controlled by the latter.

When Inequality Becomes a Trust Problem

Any trusted technological system is based on three tenets: transparency, fairness and accountability. AI inequality negatively impacts all three.

If governments implement imported AI systems in areas with limited technical capability, with limited transparency on their operation, their construction, and their biases. Citizens do not really trust when decision-making systems are black boxes and domestic institutions lack the know-how to question them.

Data exclusion also interferes with fairness. The AI systems trained with the datasets not sufficiently representative of the rural population, linguistic minorities, and women will generate poorer results in those groups systematically. Since South Asian women are much less likely to own a smartphone,  this impacts their representation in digital data, and consequently in any AI system trained on such data. 

Safety Risks Are Not Evenly Distributed

The lack of trust has a direct safety aspect. For example, those countries that have less robust information ecosystems have a greater exposure to AI-generated misinformation that can bias the discourse of the populace, alter elections, and cause violence. They also have the weakest capability of screening, tagging, or combating such content.

The same can be said about labour markets. The very same technologies that can speed up marginalisation and destabilise governance increase human insecurity, especially among employees in the informal economy with weak social security. The UNDP report points out that the exposure of female employment to disruption by AI is disproportionate to that of male employment, which further presents a gendered dimension in an already unequal situation.

Risks of infrastructure are skewed as well. Large AI systems may create disproportionately high energy and water demands on countries that host the data infrastructure without there being an equivalent economic payback. The environmental cost is local while profits are outsourced. Dangers of AI spread downwards, and the advantages go upwards.

The Governance Gap and Regulatory Arbitrage

Governance is perhaps the most important aspect. There are only a few states that presently have extensive AI regulation systems. This gives rise to a patchy landscape, in which safety standards differ dramatically and where companies have an incentive to install systems in jurisdictions that have weaker regulation.

The main reason is the lack of capability, as expressed by Philip Schellekens, chief economist of the UNDP in Asia and the Pacific, who says that those countries that invest in skills, computing power and well-run governance structures will gain. The rest will be left far behind. 

This departure has its ramifications outside the nations. When users in other areas are subjected to widely different rates of safety and equity by the same international platforms, the concept of uniform digital norms would no longer be sustainable. Confidence in AI systems is lost not only locally but also on a global scale.

Way Forward

The UNDP report makes it clear that there is no inevitability of divergence. To avert it, however, it is necessary to consider AI governance as a development, rather than a technology problem.

The capacity to govern should be constructed and not presumed. This implies assisting countries in establishing regulatory systems, institutional capacity, and facilitating cross-border collaboration on standards. It can also imply considering some AI features as a public good, with common models and open standards that do not allow a few firms or states to become too powerful.

The UNDP articulates the problem in a simple manner: in the end, the world's people and not machines must decide on what technologies should be given priority and how to utilise them optimally.

Conclusion

AI inequality is often framed as an economic divergence story. But its implications run deeper. It reshapes who is protected, who is visible in data, and who has the power to challenge harmful outcomes. The risk is not just that some countries fall behind economically. It is that the global digital ecosystem fragments into zones of high trust and low trust, high protection and low protection. The choices made now will determine which path prevails. AI can reinforce existing divides or help bridge them. 

But that outcome will not be decided by the technology itself. It will be decided by how societies choose to distribute access, power, and responsibility in the systems they build.

References

1. https://www.undp.org/sites/g/files/zskgke326/files/2025-12/undp-rbap-the-next-great-divergence_1.pdf
2. https://www.undp.org/asia-pacific/press-releases/ai-risks-sparking-new-era-divergence-development-gaps-between-countries-widen-undp-report-finds
3. https://www.undp.org/asia-pacific/blog/next-great-divergence-how-ai-could-split-world-again-if-we-dont-intervene
4. https://www.aljazeera.com/news/2025/12/2/ai-threatens-to-widen-inequality-among-states-un
5. https://www.undp.org/asia-pacific/next-great-divergence
6. https://www.eco-business.com/press-releases/ai-risks-spark-new-era-of-divergence-as-development-gaps-widen-undp-report/

‍

Introduction  

The emergence of deepfake technology has become a significant problem in an era driven by technological growth and power. The government has reacted proactively as a result of concerns about the exploitation of this technology due to its extraordinary realism in manipulating information. The national government is in the vanguard of defending national interests, public trust, and security as the digital world changes. On the 26th of December 2023, the central government issued an advisory to businesses, highlighting how urgent it is to confront this growing threat.

The directive aims to directly address the growing concerns around Deepfakes, or misinformation driven by AI. This advice represents the result of talks that Union Minister Shri Rajeev Chandrasekhar, had with intermediaries during the course of a month-long Digital India dialogue. The main aim of the advisory is to accurately and clearly inform users about information that is forbidden, especially those listed under Rule 3(1)(b) of the IT Rules. 

Advisory

The Ministry of Electronics and Information Technology (MeitY) has sent a formal recommendation to all intermediaries, requesting adherence to current IT regulations and emphasizing the need to address issues with misinformation, specifically those driven by artificial intelligence (AI), such as Deepfakes. Union Minister Rajeev Chandrasekhar released the recommendation, which highlights the necessity of communicating forbidden information in a clear and understandable manner, particularly in light of Rule 3(1)(b) of the IT Rules.

Advise on Prohibited Content Communication

According to MeitY's advice, intermediaries must transmit content that is prohibited by Rule 3(1)(b) of the IT Rules in a clear and accurate manner. This involves giving users precise details during enrollment, login, and content sharing/uploading on the website, as well as including such information in customer contracts and terms of service.

Ensuring Users Are Aware of the Rules

Digital platform suppliers are required to inform their users of the laws that are relevant to them. This covers provisions found in the IT Act of 2000 and the Indian Penal Code (IPC). Corporations should inform users of the potential consequences of breaking the restrictions outlined in Rule 3(1)(b) and should also urge users to notify any illegal activity to law enforcement.

Talks Concerning Deepfakes

For more than a month, Union Minister Rajeev Chandrasekhar had a significant talk with various platforms where they addressed the issue of "deepfakes," or computer-generated fake videos. The meeting emphasized how crucial it is that everyone abides by the laws and regulations in effect, particularly the IT Rules to prevent deepfakes from spreading.  

Addressing the Danger of Disinformation

Minister Chandrasekhar underlined the grave issue of disinformation, particularly in the context of deepfakes, which are false pieces of content produced using the latest developments such as artificial intelligence. He emphasized the dangers this deceptive data posed to internet users' security and confidence. The Minister emphasized the efficiency of the IT regulations in addressing this issue and cited the Prime Minister's caution about the risks of deepfakes.

Rule Against Spreading False Information

The Minister referred particularly to Rule 3(1)(b)(v), which states unequivocally that it is forbidden to disseminate false information, even when doing so involves cutting-edge technology like deepfakes. He called on intermediaries—the businesses that offer digital platforms—to take prompt action to take such content down from their systems. Additionally, he ensured that everyone is aware that breaking such rules has legal implications.

Analysis 

The Central Government's latest advisory on deepfake technology demonstrates a proactive strategy to deal with new issues. It also highlights the necessity of comprehensive legislation to directly regulate AI material, particularly with regard to user interests.

There is a wider regulatory vacuum for content produced by artificial intelligence, even though the current guideline concentrates on the precision and lucidity of information distribution. While some limitations are mentioned in the existing laws, there are no clear guidelines for controlling or differentiating AI-generated content.

Positively, it is laudable that the government has recognized the dangers posed by deepfakes and is making appropriate efforts to counter them. As AI technology develops, there is a chance to create thorough laws that not only solve problems but also create a supportive environment for the creation of ethical AI content. User protection, accountability, openness, and moral AI use would all benefit from such laws. This offers an opportunity for regulatory development to guarantee the successful and advantageous incorporation of AI into our digital environment.

Conclusion 

The Central Government's preemptive advice on deepfake technology shows a great dedication to tackling new risks in the digital sphere. The advice highlights the urgent need to combat deepfakes, but it also highlights the necessity for extensive legislation on content produced by artificial intelligence. The lack of clear norms offers a chance for constructive regulatory development to protect the interests of users. The advancement of AI technology necessitates the adoption of rules that promote the creation of ethical AI content, guaranteeing user protection, accountability, and transparency. This is a turning point in the evolution of regulations, making it easier to responsibly incorporate AI into our changing digital landscape.

References

• https://economictimes.indiatimes.com/tech/technology/deepfake-menace-govt-issues-advisory-to-intermediaries-to-comply-with-existing-it-rules/articleshow/106297813.cms
• https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1990542#:~:text=Ministry%20of%20Electronics%20and%20Information,misinformation%20powered%20by%20AI%20%E2%80%93%20Deepfakes.
• https://www.timesnownews.com/india/centres-deepfake-warning-to-it-firms-ensure-users-dont-violate-content-rules-article-106298282#:~:text=The%20Union%20government%20on%20Tuesday,actors%2C%20businesspersons%20and%20other%20celebrities

Executive Summary:

The viral social media posts circulating several photos of Indian Army soldiers eating their lunch in the extremely hot weather near the border area in Barmer/ Jaisalmer, Rajasthan, have been detected as AI generated and proven to be false. The images contain various faults such as missing shadows, distorted hand positioning and misrepresentation of the Indian flag and soldiers body features. The various AI generated tools were also used to validate the same. Before sharing any pictures in social media, it is necessary to validate the originality to avoid misinformation.

‍

‍

Claims:

The photographs of Indian Army soldiers having their lunch in extreme high temperatures at the border area near to the district of Barmer/Jaisalmer, Rajasthan have been circulated through social media.

‍

Fact Check:

Upon the study of the given images, it can be observed that the images have a lot of similar anomalies that are usually found in any AI generated image. The abnormalities are lack of accuracy in the body features of the soldiers, the national flag with the wrong combination of colors, the unusual size of spoon, and the absence of Army soldiers’ shadows.

‍

Additionally it is noticed that the flag on Indian soldiers’ shoulder appears wrong and it is not the traditional tricolor pattern. Another anomaly, soldiers with three arms, strengtheness the idea of the AI generated image. 

Furthermore, we used the HIVE AI image detection tool and it was found that each photo was generated using an Artificial Intelligence algorithm.

We also checked with another AI Image detection tool named Isitai, it was also found to be AI-generated.

‍

‍

After thorough analysis, it was found that the claim made in each of the viral posts is misleading and fake, the recent viral images of Indian Army soldiers eating food on the border  in the extremely  hot afternoon of Badmer were generated using the AI Image creation tool.

Conclusion:

In conclusion, the analysis of the viral photographs claiming to show Indian army soldiers having their lunch in scorching heat in Barmer, Rajasthan reveals many anomalies consistent with AI-generated images. The absence of shadows, distorted hand placement, irregular showing of the Indian flag, and the presence of an extra arm on a soldier, all point to the fact that  the images are artificially created. Therefore, the claim that this image captures real-life events is debunked, emphasizing the importance of analyzing and fact-checking before sharing in the era of common widespread digital misinformation.

• Claim: The photo shows Indian army soldiers having their lunch in extreme heat near the border area in Barmer/Jaisalmer, Rajasthan.
• Claimed on: X (formerly known as Twitter), Instagram, Facebook
• Fact Check: Fake & Misleading