#FactCheck: AI-Generated Photo Shared to Claim Boycott of Hindu Sammelan
Executive Summary:
A photo circulating on social media shows a stage with the words “Hindu Sammelan” (Hindu Conference) written in large letters. In front of the stage, rows of chairs appear largely empty, with only a few people seated while most seats remain vacant.
Users sharing the image claim that the event, held under the banner of a “Hindu Sammelan,” was in fact a “Brahmin Sammelan,” and that indigenous communities chose to stay away, resulting in poor attendance.
It is noteworthy that, on the occasion of the centenary year of the Rashtriya Swayamsevak Sangh (RSS), various “Hindu Sammelan” events are being organized across the country. The viral image is being linked to this broader context.
However, research conducted by the CyberPeace found the viral claim to be false. Our research revealed that the image being shared on social media is not authentic but AI-generated and is being circulated with a misleading narrative.
Claim
On February 21, 2026, a Facebook user shared the viral image. The original and archived links are provided below
- https://www.facebook.com/photo?fbid=935049042540479&set=gm.2425972001215469&idorvanity=465387370607285
- https://ghostarchive.org/archive/sxC6d
Fact Check:
A keyword search on Google confirmed that several “Hindu Sammelan” events have indeed been organized across the country as part of the RSS centenary year. For instance, media reports have covered such events in different cities, including Nagpur.
However, upon closely examining the viral image, we observed certain visual inconsistencies and unnatural elements that raised suspicion of AI generation. We first analyzed the image using the AI detection tool Hive Moderation, which indicated a 79.3 percent probability that the image was AI-generated.
To further verify, we scanned the image using another AI detection platform, Sightengine. The results showed a 97 percent likelihood that the image was AI-generated.
Conclusion
Our research confirms that the image circulating on social media is not genuine. It has been artificially created using AI technology and is being shared with a misleading claim.
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The world of Artificial Intelligence is entering a new phase with the rise of Agentic AI, often described as the third wave of AI evolution. Unlike earlier systems that relied on static models (that learn from the information that is fed) and reactive outputs, Agentic AI introduces intelligent agents that can make decisions, take initiative, and act autonomously in real time. These systems are designed to require minimal human oversight while actively collaborating and learning continuously. Such capabilities indicate an incoming shift, especially in the ways in which Indian businesses can function. For better understanding, Agentic AI is capable of streamlining operations, personalising services, and driving innovations at scale.
India and Agentic AI
Building as we go, India is making continuous strides in the AI revolution- deliberating on government frameworks, and simultaneously adapting. At Microsoft's Pinnacle 2025 summit in Hyderabad, India's pivotal role in shaping the future of Agentic AI was brought to the spotlight. With over 17 million developers on GitHub and ambitions to become the world's largest developer community by 2028, India's tech talent is gearing up to lead global AI innovations. Microsoft's Azure AI Foundry, also highlighted the country's growing influence in the AI landscape.
Indian companies are actively integrating Agentic AI into their operations to enhance efficiency and customer experience. Zomato is leveraging AI agents to optimise delivery logistics, ensuring timely and efficient service. Infosys has developed AI-driven copilots to assist developers in code generation, reducing development time, requiring fewer people to work on a particular project, and improving software quality.
As per a report by Deloitte, the Indian AI market is projected to grow potentially $20 billion by 2028. However, this is accompanied by significant challenges. 92% of Indian executives identify security concerns as the primary obstacle to responsible AI usage. Additionally, regulatory uncertainties and privacy risks associated with sensitive data were also highlighted.
Challenges in Adoption
Despite the enthusiasm, several barriers hinder the widespread adoption of Agentic AI in India:
- Skills Gap: While the AI workforce is expected to grow to 1.25 million by 2027, the current growth rate of 13% is considered to be insufficient with respect to the demands of the market.
- Data Infrastructure: Effective AI systems require robust, structured, and accessible datasets. Many organisations lack the necessary data maturity, leading to flawed AI outputs and decision-making failures.
- Trust and Governance: Building trust in AI systems is crucial. Concerns over data privacy, ethical usage, and regulatory compliance require robust governance frameworks to ensure the adoption of AI in a responsible manner.
- Looming fear of job loss: As AI continues to take up more sophisticated roles, a general feeling of hesitancy with respect to the loss of employment/human labour might come in the way of adopting such measures.
- Outsourcing: Currently, most companies prefer outsourcing or buying AI solutions rather than building them in-house. This gives rise to the issue of adapting to evolving needs.
The Road Ahead
To fully realise the potential of Agentic AI, India must address the following challenges :
- Training the Workforce: Initiatives and workshops tailored for employees that provide AI training can prove to be helpful. Some relevant examples are Microsoft’s commitment to provide AI training to 2 million individuals by 2025 and Infosys's in-house AI training programs.
- Data Readiness: Investing in modern data infrastructure and promoting data literacy are essential to improve data quality and accessibility.
- Establishing Governance Frameworks: Developing clear regulatory guidelines and ethical standards will foster trust and facilitate responsible AI adoption. Like the IndiaAI mission, efforts regarding evolving technology and keeping up with it are imperative.
Agentic AI holds unrealised potential to transform India's business landscape when coupled with innovation and a focus on quality that enhances global competitiveness. India is at a position where by proactively addressing the existing challenges, this potential can be realised and set the foundation for a new technological revolution (along with in-house development), solidifying its position as a global AI leader.
References
- https://economictimes.indiatimes.com/tech/artificial-intelligence/india-facing-shortage-of-agentic-ai-professionals-amid-surge-in-demand/articleshow/120651512.cms?from=mdr
- https://economictimes.indiatimes.com/tech/artificial-intelligence/india-a-global-leader-in-agentic-ai-adoption-deloitte-report/articleshow/119906474.cms?from=mdr
- https://inc42.com/features/from-zomato-to-infosys-why-indias-biggest-companies-are-betting-on-agentic-ai/
- https://www.hindustantimes.com/india-news/agentic-ai-next-big-leap-in-workplace-automation-101742548406693.html
- https://www.deloitte.com/in/en/about/press-room/india-rides-the-agentic-ai-wave.html
- https://www.businesstoday.in/tech-today/news/story/ais-next-chapter-starts-in-india-microsoft-champions-agentic-ai-at-pinnacle-2025-474286-2025-05-01
- https://www.hindustantimes.com/opinion/calm-before-ai-storm-a-moment-to-prepare-101746110985736.html
- https://www.financialexpress.com/life/technology/why-agentic-ai-is-the-next-big-thing/3828357/
Introduction
Discussions took place focused on cybersecurity measures, specifically addressing cybercrime in the context of emerging technologies such as Non-Fungible Tokens (NFTs), Artificial Intelligence (AI), and the Metaverse. Session 5 of the conference focused on the interconnectedness between the darknet and cryptocurrency and the challenges it poses for law enforcement agencies and regulators. They discussed that Understanding AI is necessary for enterprises. AI models have difficulties, but we are looking forward to trustworthy AIs. and AI technology must be transparent.
Darknet and Cryptocurrency
The darknet refers to the hidden part of the internet where illicit activities have proliferated in recent years. It was initially developed to provide anonymity, privacy, and protection to specific individuals such as journalists, activists, and whistleblowers. However, it has now become a playground for criminal activities. Cryptocurrency, particularly Bitcoin, has been widely adopted on the darknet due to its anonymous nature, enabling anti-money laundering and unlawful transactions.
Three major points emerge from this relationship: the integrated nature of the darknet and cryptocurrency, the need for regulations to prevent darknet-based crimes, and the importance of striking a balance between privacy and security.
Key Challenges:
- Integrated Relations: The darknet and cryptocurrency have evolved independently, with different motives and purposes. It is crucial to understand the integrated relationship between them and how criminals exploit this connection.
- Regulatory Frameworks: There is a need for effective regulations to prevent crimes facilitated through the darknet and cryptocurrency while striking a balance between privacy and security.
- Privacy and Security: Privacy is a fundamental right, and any measures taken to enhance security should not infringe upon individual privacy. A multistakeholder approach involving tech companies and regulators is necessary to find this delicate balance.
Challenges Associated with Cryptocurrency Use:
The use of cryptocurrency on the darknet poses several challenges. The risks associated with darknet-based cryptocurrency crimes are a significant concern. Additionally, regulatory challenges arise due to the decentralised and borderless nature of cryptocurrencies. Mitigating these challenges requires innovative approaches utilising emerging technologies.
Preventing Misuse of Technologies:
The discussion emphasised that we can step ahead of the people who wish to use these beautiful technologies meant and developed for a different purpose, to prevent from using them for crime.
Monitoring the Darknet:
The darknet, as explained, is an elusive part of the internet that necessitates the use of a special browser for access. Initially designed for secure communication by the US government, its purpose has drastically changed over time. The darknet’s evolution has given rise to significant challenges for law enforcement agencies striving to monitor its activities.
Around 95% of the activities carried out on the dark net are associated with criminal acts. Estimates suggest that over 50% of the global cybercrime revenue originates from the dark net. This implies that approximately half of all cybercrimes are facilitated through the darknet.
The exploitation of the darknet has raised concerns regarding the need for effective regulation. Monitoring the darknet is crucial for law enforcement, national agencies, and cybersecurity companies. The challenges associated with the darknet’s exploitation and the criminal activities facilitated by cryptocurrency emphasise the pressing need for regulations to ensure a secure digital landscape.
Use of Cryptocurrency on the Darknet
Cryptocurrency plays a central role in the activities taking place on the darknet. The discussion highlighted its involvement in various illicit practices, including ransomware attacks, terrorist financing, extortion, theft, and the operation of darknet marketplaces. These applications leverage cryptocurrency’s anonymous features to enable illegal transactions and maintain anonymity.
AI's Role in De-Anonymizing the Darknet and Monitoring Challenges:
- 1.AI’s Potential in De-Anonymizing the Darknet
During the discussion, it was highlighted how AI could be utilised to help in de-anonymizing the darknet. AI’s pattern recognition capabilities can aid in identifying and analysing patterns of behaviour within the darknet, enabling law enforcement agencies and cybersecurity experts to gain insights into its operations. However, there are limitations to what AI can accomplish in this context. AI cannot break encryption or directly associate patterns with specific users, but it can assist in identifying illegal marketplaces and facilitating their takedown. The dynamic nature of the darknet, with new marketplaces quickly emerging, adds further complexity to monitoring efforts.
- 2.Challenges in Darknet Monitoring
Monitoring the darknet poses various challenges due to its vast amount of data, anonymous and encrypted nature, dynamically evolving landscape, and the need for specialised access. These challenges make it difficult for law enforcement agencies and cybersecurity professionals to effectively track and prevent illicit activities.
- 3.Possible Ways Forward
To address the challenges, several potential avenues were discussed. Ethical considerations, striking a balance between privacy and security, must be taken into account. Cross-border collaboration, involving the development of relevant laws and policies, can enhance efforts to combat darknet-related crimes. Additionally, education and awareness initiatives, driven by collaboration among law enforcement, government entities, and academia, can play a crucial role in combating darknet activities.
The panel also addressed the questions from the audience
- How law enforcement agencies and regulators can use AI to detect and prevent crimes on the darknet and cryptocurrency? The panel answered that- Law enforcement officers should also be AI and technology ready, and that kind of upskilling program should be there in place.
- How should lawyers and the judiciary understand the problem and regulate it? The panel answered that AI should only be applied by looking at the outcomes. And Law has to be clear as to what is acceptable and what is not.
- Aligning AI with human intention? Whether it’s possible? Whether can we create an ethical AI instead of talking about using AI ethically? The panel answered that we have to understand how to behave ethically. AI can beat any human. We have to learn AI. Step one is to focus on our ethical behaviour. And step two is bringing the ethical aspect to the software and technologies. Aligning AI with human intention and creating ethical AI is a challenge. The focus should be on ethical behaviour both in humans and in the development of AI technologies.
Conclusion
The G20 Conference on Crime and Security shed light on the intertwined relationship between the darknet and cryptocurrency and the challenges it presents to cybersecurity. The discussions emphasised the need for effective regulations, privacy-security balance, AI integration, and cross-border collaboration to tackle the rising cybercrime activities associated with the darknet and cryptocurrency. Addressing these challenges will require the combined efforts of governments, law enforcement agencies, technology companies, and individuals committed to building a safer digital landscape.
Executive Summary
A video circulating on social media shows Uttar Pradesh Chief Minister Yogi Adityanath and Gorakhpur MP Ravi Kishan walking with a group of people. Users are claiming that the two leaders were participating in a protest against the University Grants Commission (UGC). Research by CyberPeace has found the viral claim to be misleading. Our research revealed that the video is from September 2025 and is being shared out of context with recent events. The video was recorded when Chief Minister Yogi Adityanath undertook a foot march in Gorakhpur on a Monday. Ravi Kishan, MP from Gorakhpur, was also present. During the march, the Chief Minister visited local markets, malls, and shops, interacting with traders and gathering information on the implementation of GST rate cuts.
Claim Details:
On Instagram, a user shared the viral video on 27 January 2026. The video shows the Chief Minister and the MP walking with a group of people. The text “UGC protest” appears on the video, suggesting that it is connected to a protest against the University Grants Commission.
Fact Check:
To verify the claim, we searched Google using relevant keywords, but found no credible media reports confirming it.Next, we extracted key frames from the video and searched them using Google Lens. The video was traced to NBT Uttar Pradesh’s X (formerly Twitter) account, posted on 22 September 2025.
According to NBT Uttar Pradesh, CM Yogi Adityanath undertook a foot march in Gorakhpur, visiting malls and shops to interact with traders and check the implementation of GST rate cuts.
Conclusion:
The viral video is not related to any recent UGC guidelines. It dates back to September 2025, showing CM Yogi Adityanath and MP Ravi Kishan on a foot march in Gorakhpur, interacting with traders about GST rate cuts.The claim that the video depicts a protest against the University Grants Commission is therefore false and misleading.
