#FactCheck:AI-Generated Image Falsely Shared as Houses Built Inside Mexico City Volcano Crater
Executive Summary
A picture is going viral on social media in the name of Mexico City, with the claim that the city’s population has grown so much that, due to a shortage of space, people have built houses inside the crater of a dormant volcano. The viral picture shows houses and other structures inside the crater, which several users are sharing as a real photograph. The research by the CyberPeace Research Wing found that AI technology was used to create the image. A fact-check by Vishvas News found that there are no houses inside the crater in Mexico, although farming is carried out there and residential areas are located around its outer sections.
Claim:
Facebook page ‘The Great India’ shared a picture on August 12, 2026, claiming, “Mexico City, with a huge population of around 2.5 crore, is facing a severe shortage of land. Due to the city’s unprecedented expansion, people have found an unusual way to create homes — settlements, houses and even playgrounds have reportedly been built inside the crater of a dormant volcano. The city, located in a high plateau surrounded by volcanic hills, has seen people turn volcanic slopes and depressions into habitable areas due to the declining availability of land and rapidly growing population.”
Several users on X also shared the picture believing the claim to be true.
https://x.com/Kapil_Jyani_/status/2087380670909931602?s=20

FactCheck
To verify the viral picture, we first scanned it using Google Lens. We found similar pictures on several websites and social media accounts, where they were identified as the crater of Xico Volcano in Mexico.
During the search, we also found a picture on Shutterstock, which identified the location as the crater of Xico Volcano in Chalco, Mexico.

We then used Google Maps to check the location. The search showed that the Xico crater is located on the southern outskirts of Mexico City. Upon checking the area, we found agricultural activity inside the crater, while some houses could be seen in the surrounding areas.
https://maps.app.goo.gl/hszKcR1a8srtYe91A

During the next stage of the research, we analysed the viral picture using AI detection tools. We first scanned the image using Hive Moderation. The tool indicated more than a 98 per cent probability that the viral picture was AI-generated.

We then checked the picture using another AI detection tool, Sightengine. Its analysis also indicated a 99 per cent probability that the image was AI-generated.

Conclusion
Our research found that the claim that people have built houses inside a volcano crater in Mexico City due to a shortage of land is false. Although farming takes place inside the Xico crater, residential areas are located outside it. The viral picture was created using AI and is being shared with a misleading claim.
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Introduction
India is seeing a major change due to the introduction of Artificial Intelligence (AI) across all sectors of government, business, and the digital economy with regard to areas such as governance, healthcare, finance, and the infrastructure. The large scale and rapid pace of AI implementation are expected to lead to efficiency gains, innovations in products and services, and to drive economic growth; however, the growth of AI also creates many serious concerns regarding ethics, legality, and societal ramifications. Issues such as algorithmic bias in the use of algorithms by AI, a lack of transparency in decision-making algorithms, data protection risks resulting from AI employments, and unclear frameworks for determining accountability for AI-related action; bring issues of how we will govern AI in a responsible manner to the forefront of public policy discourse.
India wants to become an AI superpower and leader in technology on the world stage. As such, India has a dual responsibility to fuel innovation without discounting democratic ideals, human rights, and public trust. UNESCO's AI Readiness Assessment Methodology (RAM) is a global tool for AI governance, created to provide concrete policy guidance on how to make ethical AI a reality. The India AI RAM Report is set to be formally released by UNESCO during the India AI Impact Summit 2026, taking place in New Delhi, as a major milestone in India's developing AI governance journey.
What is UNESCO’s AI Readiness Assessment Methodology (RAM)?
UNESCO has created a simple yet effective tool, called the AI Readiness Assessment Methodology (RAM), that can assist governments in determining how well they are prepared to develop, deploy and manage Artificial Intelligence ethically, responsibly and trustworthily. RAM provides a framework for diagnosing and self-assessing the state of a country’s ability to govern AI on the basis of evidence-based decision making rather than serving as a regulatory framework or ranking system.
The most important goal of RAM is to assess a country’s overall state of readiness to govern AI based on four dimensions: institutionally, legally, socially and technologically. In doing so, RAM examines how institutions function, their maturity level and the extent to which various policies align with one another; thereby giving governments an overview of strengths, weaknesses and priorities for reform.
Unlike other frameworks, RAM does not prescribe any one-size-fits-all solutions; instead, it uses a context sensitive approach when implementing the concepts of AI governance due to differing national realities, developmental priorities and social/economic conditions. Using the ethical principles established by UNESCO, RAM converts these principles into practical actions that can guide countries in their transition from abstract commitments to concrete strategies for governing AI.
Key Dimensions Assessed Under RAM
UNESCO's AI Readiness Assessment Methodology (RAM) is a tool used to assess a country's readiness to implement ethical Artificial Intelligence through five interconnected dimensions. These include: the legal and regulatory dimension (which looks at the laws, rules, and safeguards that are currently in place related to AI), the social and cultural dimension (which looks at whether the public is aware of AI, whether it trusts AI, whether AI is an inclusive experience for all people who use AI and whether AI has affected society in various ways), and the economic dimension (which looks at innovation, participation from industry, and readiness of the market for AI).
Also included in the framework/functionality of the RAM are: scientific and educational dimension (which examines a country’s capacity to conduct serious scientific research, including research activities that prepare persons to be employable in AI jobs); and technological and infrastructure dimension (which examines the availability of data, digital infrastructure, and computing capabilities for AI projects in a country).
All five of these dimensions consider the entirety of the scope of an AI readiness evaluation to ensure that AI Governance is more than just a technical issue; rather, it is a condition of a country’s capacity to generate laws, create policy and maintain social equality in relation to all forms of Artificial Intelligence.
Methodology and Nationwide Consultative Process
RAM takes both qualitative and quantitative characteristics together to create an overall understanding of how ready any nation is for AI capabilities. It is designed with flexibility so nations can define their assessments with respect to their own institutional capabilities and development agenda.
Normally, RAM is implemented by an independent expert who is assisted by a national team consisting of various stakeholders. With respect to the RAM process used in India, it was conducted as a national consultation where representatives from across all sectors of society (government, private sector, academia, civil society, and young people) participated in the assessment's creation. This consultation process made sure there were many different viewpoints present, which increased the legitimacy of the assessment results and how relevant they are in each country. The consultation process also yields policy recommendations based on real life governing situations or challenges that are specific to different sectors.
Institutional Partnerships Behind India’s RAM
The India RAM Initiative was developed by the UNESCO South Asia Regional Office (as a partner of IndiaAI Mission and the Indian Ministry of Electronics and Information Technology) and implemented by Ikigai Law with the help of The Patrick J. McGovern Foundation. This demonstrated the need for and importance of partnership in developing governance frameworks for Artificial Intelligence (AI). The result of the RAM process is a collaborative effort that includes evidence-based international norm-setting capabilities from around the world; government policies under the guidance of national political leadership; independent legal-technical implementation; input from civil society; all with the goal of empowering (increasing) India's ability to establish and implement both a consistent (i.e., coherent) and comprehensive (i.e., inclusive) AI Governance Framework.
Significance of the India AI RAM Report and Its Launch
The India AI RAM Report provides a complete initial assessment of India’s AI ecosystem and includes key insights into AI readiness, governance strengths/weaknesses, and potential opportunities across multiple sectors. It identifies priority areas to promote a responsible and trustworthy AI ecosystem in India.
The report will be officially released during the India AI Impact Summit (February 16, 2026 at Bharat Mandapam, New Delhi) where Mr. Abhishek Venkateswaran (National Project Officer-Social and Human Sciences at UNESCO South Asia) offered additional insight into the consultative process and the overall importance of this launch on India's future AI policy path.
Policy Relevance and the Road Ahead
The RAM Framework gives the government a structure and roadmap for developing and implementing AI Governance. In doing this, RAM reinforces the alignment of IndiaAI Mission, which includes safety and trust in AI as one of the pillars. However, the results from this Assessment will not automatically translate to reforming institutions, issuing guidelines specific to sectors, or developing a mechanism for continued evaluation. Implementation will require strong and sustained commitment from political leaders, as well as the commitment of institutions involved in the reforms made possible by RAM's implementation.
Conclusion
UNESCO has developed an AI Readiness Assessment Methodology (AI-RAM) that can greatly advance the way India approaches governance with respect to artificial intelligence (AI). By focusing on "readiness" (doing what needs to be done), "responsibility" (being or having good moral principles) and "inclusivity" (including everyone), the AI-RAM will enable India to become an active participant in discussions around ethical use of AI at a global level. India is now positioned to take on a leadership role in the world by adopting this methodology, which provides a platform for establishing global standards for AI development. The real benefit of the AI-RAM will come from policy measures that will ensure future AI development in India is 'human-centered', 'trustworthy' and 'aligns with democratic values'.
References
- https://icaire.org/files/UNESCORam-en.pdf
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2134492®=3&lang=2
- https://www.facebook.com/unesconewdelhi/videos/unesco-is-set-to-launch-the-india-ai-readiness-assessment-methodology-ram-report/25955631820699516/
- https://www.unesco.org/ethics-ai/en/ram
- https://www.hindustantimes.com/india-news/unesco-meity-launch-exercise-to-assess-india-s-ai-readiness-101749188341803.html#
- https://www.manoramayearbook.in/current-affairs/india/2025/06/09/unesco-ai-readiness-assessment-methodology-ram.html
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Executive Summary
A post is being shared on social media claiming that retired Chief of Defence Staff (CDS) General Anil Chauhan was arrested from his residence in connection with a 51.5-kg drug case. The post states that official confirmation of the case is awaited. Some Army personnel can also be seen in the video, which is being shared as evidence to support the claim. CyberPeace Research found the viral claim to be false. We found that General Anil Chauhan had retired as CDS in May 2026. According to the Ministry of Defence, his tenure ended on May 30, 2026. However, we did not find any credible report confirming General Anil Chauhan’s arrest in connection with a 51.5-kg drug case. Therefore, the claim being shared on social media is misleading and false. Furthermore, according to the available information, the video is related to the December 2021 terrorist attack on a Jammu and Kashmir Police bus in the Pantha Chowk area of Srinagar.
Claim:
On September 18, 2026, a user on the social media platform X claimed that retired CDS General Anil Chauhan was arrested from his residence in connection with a 51.5-kg drug case.
https://x.com/i/birdwatch/t/2100860615887892915?source=6

Fact Check:
To verify the viral claim, we conducted a Google search using relevant keywords. During the search, we did not find any credible media report supporting the claim. As part of our research, we conducted a reverse image search of keyframes from the video. During the search, we found the same video on the Facebook page of The Kashmir Today, where it was posted on December 13, 2021. The 58-second video also contains the portion seen in the viral video in its final six seconds. According to the information accompanying the video, militants attacked a police bus near Aripora Zewan on the Srinagar-Jammu highway in the outskirts of Srinagar on Monday afternoon. At least 14 police personnel were injured in the attack, three of whom were reported to be in critical condition.
According to official sources cited in the report, the gunmen’s attack injured 14 police personnel, who were subsequently admitted to a hospital. The area was cordoned off and a search operation was underway to apprehend the attackers. At the time, there were no reports of any arrests.
https://www.facebook.com/watch/?v=422219106288318

Based on the clue found on Facebook, we conducted a Google search using relevant keywords. During the search, we found a report published on The Times of India website on December 14, 2021, carrying the same claim.

Conclusion
Our research found that the video being shared on social media is not recent but dates back to December 2021. During the reverse image search, we found the same video on The Kashmir Today’s Facebook page, where it was posted on December 13, 2021. The viral portion of the video is also present in the original 58-second clip. According to the available information, the video is related to the December 2021 terrorist attack on a Jammu and Kashmir Police bus in the Pantha Chowk area of Srinagar. The attack resulted in the deaths of two police personnel, while 14 others were injured. Therefore, the old video is being shared with a misleading claim by linking it to a recent incident.

Introduction
In the wake of the Spy Loan scandal, more than a dozen malicious loan apps were downloaded on Android phones from the Google Play Store, However, the number is significantly higher because they are also available on third-party marketplaces and questionable websites.
Unmasking the Scam
When a user borrows money, these predatory lending applications capture large quantities of information from their smartphone, which is then used to blackmail and force them into returning the total with hefty interest levels. While the loan amount is disbursed to users, these predatory loan apps request sensitive information by granting access to the camera, contacts, messages, logs, images, Wi-Fi network details, calendar information, and other personal information. These are then sent to loan shark servers.
The researchers have disclosed facts about the applications used by loan sharks to mislead consumers, as well as the numerous techniques used to circumvent some of the limitations imposed on the Play Store. Malware is often created with appealing user interfaces and promotes simple and rapid access to cash with high-interest payback conditions. The revelation of the Spy Loan scandal has triggered an immediate response from law enforcement agencies worldwide. There is an urgency to protect millions of users from becoming victims of malicious loan apps, it has become extremely important for law enforcement to unmask the culprits and dismantle the cyber-criminal network.
Aap’s banned: here is the list of the apps banned by Google Play Store :
- AA Kredit: इंस्टेंट लोन ऐप (com.aa.kredit.android)
- Amor Cash: Préstamos Sin Buró (com.amorcash.credito.prestamo)
- Oro Préstamo – Efectivo rápido (com.app.lo.go)
- Cashwow (com.cashwow.cow.eg)
- CrediBus Préstamos de crédito (com.dinero.profin.prestamo.credito.credit.credibus.loan.efectivo.cash)
- ยืมด้วยความมั่นใจ – ยืมด่วน (com.flashloan.wsft)
- PréstamosCrédito – GuayabaCash (com.guayaba.cash.okredito.mx.tala)
- Préstamos De Crédito-YumiCash (com.loan.cash.credit.tala.prestmo.fast.branch.mextamo)
- Go Crédito – de confianza (com.mlo.xango)
- Instantáneo Préstamo (com.mmp.optima)
- Cartera grande (com.mxolp.postloan)
- Rápido Crédito (com.okey.prestamo)
- Finupp Lending (com.shuiyiwenhua.gl)
- 4S Cash (com.swefjjghs.weejteop)
- TrueNaira – Online Loan (com.truenaira.cashloan.moneycredit)
- EasyCash (king.credit.ng)
- สินเชื่อปลอดภัย – สะดวก (com.sc.safe.credit)
Risks with several dimensions
SpyLoan's loan application violates Google's Financial Services policy by unilaterally shortening the repayment period for personal loans to a few days or any other arbitrary time frame. Additionally, the company threatens users with public embarrassment and exposure if they do not comply with such unreasonable demands.
Furthermore, the privacy rules presented by SpyLoan are misleading. While ostensibly reasonable justifications are provided for obtaining certain permissions, they are very intrusive practices. For instance, camera permission is ostensibly required for picture data uploads for Know Your Customer (KYC) purposes, and access to the user's calendar is ostensibly required to plan payment dates and reminders. However, both of these permissions are dangerous and can potentially infringe on users' privacy.
Prosecution Strategies and Legal Framework
The law enforcement agencies and legal authorities initiated prosecution strategies against the individuals who are involved in the Spy Loan Scandal, this multifaced approach involves international agreements and the exploration of innovative legal avenues. Agencies need to collaborate with International agencies to work on specific cyber-crime, leveraging the legal frameworks against digital fraud furthermore, the cross-border nature of the spy loan operation requires a strong legal framework to exchange information, extradition requests, and the pursuit of legal actions across multiple jurisdictions.
Legal Protections for Victims: Seeking Compensation and Restitution
As the legal battle unfolds in the aftermath of the Spy loan scam the focus shifts towards the victims, who suffer financial loss from such fraudulent apps. Beyond prosecuting culprits, the pursuit of justice should involve legal safeguards for victims. Existing consumer protection laws serve as a crucial shield for Spy Loan victims. These laws are designed to safeguard the rights of individuals against unfair practices.
Challenges in legal representation
As the legal hunt for justice in the Spy Loan scam progresses, it encounters challenges that demand careful navigation and strategic solutions. One of the primary obstacles in the legal pursuit of the Spy loan app lies in the jurisdictional complexities. Within the national borders, it’s quite challenging to define the jurisdiction that holds the authority, and a unified approach in prosecuting the offenders in various regions with the efforts of various government agencies.
Concealing the digital identities
One of the major challenges faced is the anonymity afforded by the digital realm poses a challenge in identifying and catching the perpetrators of the scam, the scammers conceal their identity and make it difficult for law enforcement agencies to attribute to actions against the individuals, this challenge can be overcome by joint effort by international agencies and using the advance digital forensics and use of edge cutting technology to unmask these scammers.
Technological challenges
The nature of cyber threats and crime patterns are changing day by day as technology advances this has become a challenge for legal authorities, the scammers explore vulnerabilities, making it essential, for law enforcement agencies to be a step ahead, which requires continuous training of cybercrime and cyber security.
Shaping the policies to prevent future fraud
As the scam unfolds, it has become really important to empower users by creating more and more awareness campaigns. The developers of the apps need to have a transparent approach to users.
Conclusion
It is really important to shape the policies to prevent future cyber frauds with a multifaced approach. Proposals for legislative amendments, international collaboration, accountability measures, technology protections, and public awareness programs all contribute to the creation of a legal framework that is proactive, flexible, and robust to cybercriminals' shifting techniques. The legal system is at the forefront of this effort, playing a critical role in developing regulations that will protect the digital landscape for years to come.
Safeguarding against spyware threats like SpyLoan requires vigilance and adherence to best practices. Users should exclusively download apps from official sources, meticulously verify the authenticity of offerings, scrutinize reviews, and carefully assess permissions before installation.