#FactCheck-Viral Video of Monkey Saving Child Hanging From Balcony Is AI-Generated
Executive Summary
A video showing a monkey dramatically rescuing a child hanging from a balcony is being widely shared on social media. In the clip, a small child appears to be on the verge of falling when a monkey suddenly arrives, grabs the child, and saves them from falling. Many users praised the monkey’s bravery, while some even described it as a miracle. Research by CyberPeace Research Wing found that the viral video is not real and was created using AI technology before being shared with misleading claims.
Claim
An X user shared the video claiming that a monkey saved a child from falling off a balcony just in time, astonishing onlookers with its intelligence and quick action. The post described the monkey’s act as heroic and compassionate.
Fact Check
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search using Google Lens. During this process, we found the same video uploaded on April 16, 2026 by an Instagram account named Instagram user mojilo_vandro. The caption described the scene as a “miracle of God.”
A closer review of the account revealed several similar monkey-themed videos. More importantly, the account bio clearly states that it creates AI-based fictional content. We also analyzed the clip using AI detection tool Hive Moderation, which assessed the video as having a 97.6% probability of being AI-generated
Conclusion
Our research confirms that the viral video of a monkey saving a child hanging from a balcony does not depict a real incident. It was digitally created using AI and shared online with misleading claims.
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Executive Summary
An image featuring Prime Minister Narendra Modi and Union Home Minister Amit Shah is being widely shared on social media. The image is being circulated with the claim that it is a decades-old photograph of the two leaders. A research by the Research Wing of CyberPeace found that the viral image is not authentic and was generated using artificial intelligence (AI).
Claim
On August 14, 2026, a user shared the viral image on Instagram with the caption: “An old photograph of our country's Prime Minister Ji and Home Minister Amit Shah Ji. This duo has changed the history of India. Such leadership comes once in centuries.”
https://www.instagram.com/p/DcAsngdyjQ0/
Fact Check:
On closely examining the viral image, we noticed several visual inconsistencies that raised suspicion that it may have been AI-generated. We subsequently analysed the image using Hive Moderation, an AI-detection tool. The tool indicated a 99 per cent probability that the image was AI-generated.
As part of the next stage of our research, we analysed the viral image using another AI-detection tool, AI or Not. The tool's results indicated a 98 per cent probability that the image was AI-generated.
Conclusion:
The viral image being circulated as a decades-old photograph of Prime Minister Narendra Modi and Union Home Minister Amit Shah is fake. Our research found that the image was generated using AI and is being falsely presented as a genuine old photograph.
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Introduction
YouTube is testing a new feature called ‘Notes,’ which allows users to add community-sourced context to videos. The feature allows users to clarify if a video is a parody or if it is misrepresenting information. The feature builds on existing features to provide helpful content alongside videos. Currently under testing, the feature will be available to a limited number of eligible contributors who will be invited to write notes on videos. These notes will appear publicly under a video if they are found to be broadly helpful. Viewers will be able to rate notes into three categories: ‘Helpful,’ ‘Somewhat helpful,’ or ‘Unhelpful’. Based on the ratings, YouTube will determine which notes are published. The feature will first be rolled out on mobile devices in the U.S. in English. The Google-owned platform will look at ways to improve the feature over time, including whether it makes sense to expand it to other markets.
YouTube To Roll Out The New ‘Notes’ Feature
YouTube is testing an experimental feature that allows users to add notes to provide relevant, timely, and easy-to-understand context for videos. This initiative builds on previous products that display helpful information alongside videos, such as information panels and disclosure requirements when content is altered or synthetic. YouTube in its blog clarified that the pilot will be available on mobiles in the U.S. and in the English language, to start with. During this test phase, viewers, participants, and creators are invited to give feedback on the quality of the notes.
YouTube further stated in its blog that a limited number of eligible contributors will be invited via email or Creator Studio notifications to write notes so that they can test the feature and add value to the system before the organisation decides on next steps and whether or not to expand the feature. Eligibility criteria include having an active YouTube channel in good standing with Yotube’s Community Guidelines.
Viewers in the U.S. will start seeing notes on videos in the coming weeks and months. In this initial pilot, third-party evaluators will rate the helpfulness of notes, which will help train the platform’s systems. As the pilot moves forward, contributors themselves will rate notes as well.
Notes will appear publicly under a video if they are found to be broadly helpful. People will be asked whether they think a note is helpful, somewhat helpful, or unhelpful and the reasons for the same. For example, if a note is marked as ‘Helpful,’ the evaluator will have the opportunity to specify if it is so because it cites high-quality sources or is written clearly and neutrally. A bridging-based algorithm will be used to consider these ratings and determine what notes are published. YouTube is excited to explore new ways to make context-setting even more relevant, dynamic, and unique to the videos we are watching, at scale, across the huge variety of content on YouTube.
CyberPeace Analysis: How Can Notes Help Counter Misinformation
The potential effectiveness of countering misinformation on YouTube using the proposed ‘Notes’ feature is significant. Enabling contributors to include notes on videos can offer relevant and accurate context to clarify any misleading or false information in the video. These notes can aid in enhancing viewers' comprehension of the content and detecting misinformation. The participation from users to rate the added notes as helpful, somewhat helpful, and unhelpful adds a heightened layer of transparency and public participation in identifying the accuracy of the content.
As YouTube intends to gather feedback from its various stakeholders to improve the feature over time, one can look forward to improved policy and practical over time: the feedback mechanism will allow for continuous refinement of the feature, ensuring it effectively addresses misinformation. The platform employs algorithms to identify helpful notes that cater to a broad audience across different perspectives. This helps showcase accurate information and combat misinformation.
Furthermore, along with the Notes feature, YouTube should explore and implement prebunking and debunking strategies on the platform by promoting educational content and empowering users to discern between fact and any misleading information.
Conclusion
The new feature, currently in the testing phase, aims to counter misinformation by providing context, enabling user feedback, leveraging algorithms, promoting transparency, and continuously improving information quality. Considering the diverse audience on the platform and high volumes of daily content consumption, it is important for both the platform operators and users to engage with factual, verifiable information. The fallout of misinformation on such a popular platform can be immense, and so, any mechanism or feature that can help counter the same must be developed to its full potential. Apart from this new Notes feature, YouTube has also implemented certain measures in the past to counter misinformation, such as providing authenticated sources to counter any election misinformation during the recent 2024 elections in India. These efforts are a welcome contribution to our shared responsibility as netizens to create a trustworthy, factual and truly-informational digital ecosystem.
References:
- https://blog.youtube/news-and-events/new-ways-to-offer-viewers-more-context/
- https://www.thehindu.com/sci-tech/technology/internet/youtube-tests-feature-that-will-let-users-add-context-to-videos/article68302933.ece
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
