Introduction and Brief Analysis

A movie named “The Artifice Girl” portrayed A law enforcement agency developing an AI-based personification of a 12-year-old girl who appears to be exactly like a real person. Believing her to be an actual girl, perpetrators of child sexual exploitation were caught attempting to seek sexual favours. The movie showed how AI aided law enforcement, but the reality is that the emergence of Artificial Intelligence has posed numerous challenges in multiple directions. This example illustrates both the promise and the complexity of using AI in sensitive areas like law enforcement, where technological innovation must be carefully balanced with ethical and legal considerations.

Detection and Protection tools are constantly competing with technologies that generate content, automate grooming and challenge legal boundaries. Such technological advancements have provided enough ground for the proliferation of Child Sexual Exploitation and Abuse Material (CSEAM). Also known as child pornography under Section 2 (da) of Protection of Children from Sexual Offences Act, 2012, it defined it as - “means any visual depiction of sexually explicit conduct involving a child which includes a photograph, video, digital or computer-generated image indistinguishable from an actual child and image created, adapted, or modified, but appears to depict a child.”

Artificial Intelligence is a category of technologies that attempt to shape human thoughts and behaviours using input algorithms and datasets. Two Primary applications can be considered in the context of CSEAM: classifiers and content generators. Classifiers are programs that learn from large data sets, which may be labelled or unlabelled and further classify what is restricted or illegal. Whereas generative AI is also trained on large datasets, it uses that knowledge to create new things. Majority of current AI research related to AI for CSEAM is done by the use of Artificial neural networks (ANNs), a type of AI that can be trained to identify unusual connections between items (classification) and to generate unique combinations of items (e.g., elements of a picture) based on the training data used.

Current Legal Landscape

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The legal Landscape in terms of AI is yet unclear and evolving, with different nations trying to track the evolution of AI and develop laws. However, some laws directly address CSEAM. The International Centre for Missing and Exploited Children (ICMEC) combats Illegal sexual content involving children. They have a “Model Legislation” for setting recommended sanctions/sentencing. According to research performed in 2018, Illegal sexual content involving children is illegal in 118 of the 196 Interpol member states. This figure represents countries that have sufficient legislation in place to meet 4 or 5 of the 5 criteria defined by the ICMEC.

CSEAM in India can be reported on various portals like the ‘National Cyber Crime Reporting Portal’. Online crimes related to children, including CSEAM, can be reported to this portal by visiting cybercrime.gov.in. This portal allows anonymous reporting, automatic FIR registration and tracking of your complaint. ‘I4C Sahyog Portal’ is another platform managed by the Indian Cyber Crime Coordination Centre (I4C). This portal integrates with social media platforms.

The Indian legal front for AI is evolving and CSEAM is well addressed in Indian laws and through judicial pronouncements. The Supreme Court judgement on Alliance and Anr v S Harish and ors is a landmark in this regard. The following principles were highlighted in this judgment.

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• The term “child pornography” should be substituted by “Child Sexual Exploitation and Abuse Material” (CSEAM) and shall not be used for any further judicial proceeding, order, or judgment. Also, parliament should amend the same in POCSO and instead, the term CSEAM should be endorsed.
• Parliament to consider amending Section 15 (1) of POCSO to make it more convenient for the general public to report by way of an online portal.
• Implementing sex education programs to give young people a clear understanding of consent and the consequences of exploitation. To help prevent Problematic sexual behaviour (PSB), schools should teach students about consent, healthy relationships and appropriate behaviour.
• Support services to the victims and rehabilitation programs for the offenders are essential.
• Early identification of at-risk individuals and implementation of intervention strategies for youth.

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Distinctive Challenges

According to a report by the National Centre for Missing and Exploited Children (NCMEC), a significant number of reports about child sexual exploitation and abuse material (CSEAM) are linked to perpetrators based outside the country. This highlights major challenges related to jurisdiction and anonymity in addressing such crimes. Since the issue concerns children and considering the cross-border nature of the internet and the emergence of AI, Nations across the globe need to come together to solve this matter. Delays in the extradition procedure and irregular legal processes across the jurisdictions hinder the apprehension of offenders and the delivery of justice to victims.

CyberPeace Recommendations

For effective regulation of AI-generated CSEAM, laws are required to be strengthened for AI developers and trainers to prevent misuse of their tools. AI should be designed with its ethical considerations, ensuring respect for privacy, consent and child rights. There can be a self-regulation mechanism for AI models to recognise and restrict red flags related to CSEAM and indicate grooming or potential abuse.

A distinct Indian CSEAM reporting portal is urgently needed, as cybercrimes are increasing throughout the nation. Depending on the integrated portal may lead to ignorance of AI-based CSEAM cases. This would result in faster response and focused tracking. Since AI-generated content is detectable. The portal should also include an automated AI-content detection system linked directly to law enforcement for swift action.

Furthermore, International cooperation is of utmost importance to win the battle of AI-enabled challenges and to fill the jurisdictional gaps. A united global effort is required. Using a common technology and unified international laws is essential to tackle AI-driven child sexual exploitation across borders and protect children everywhere. CSEAM is an extremely serious issue. Children are among the most vulnerable to such harmful content. This threat must be addressed without delay, through stronger policies, dedicated reporting mechanisms and swift action to protect children from exploitation.

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References:

• https://www.sciencedirect.com/science/article/pii/S2950193824000433?ref=pdf_download&fr=RR-2&rr=94efffff09e95975
• https://aasc.assam.gov.in/sites/default/files/swf_utility_folder/departments/aasc_webcomindia_org_oi d_4/portlet/level_2/pocso_act.pdf
• https://www.manupatracademy.com/assets/pdf/legalpost/just-rights-for-children-alliance-and-anr-vs-s‍harish-and-ors.pdfhttps://www.icmec.org‍https://www.missingkids.org/theissues/generative-ai

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Introduction

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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.

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What is UNESCO’s AI Readiness Assessment Methodology (RAM)?

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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.

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Key Dimensions Assessed Under RAM

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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.

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Methodology and Nationwide Consultative Process

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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.

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Institutional Partnerships Behind India’s RAM

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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.

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Significance of the India AI RAM Report and Its Launch

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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.

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Policy Relevance and the Road Ahead

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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.

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Conclusion

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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'.

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References

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1. https://icaire.org/files/UNESCORam-en.pdf
2. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2134492&reg=3&lang=2 
3. https://www.facebook.com/unesconewdelhi/videos/unesco-is-set-to-launch-the-india-ai-readiness-assessment-methodology-ram-report/25955631820699516/
4. https://www.unesco.org/ethics-ai/en/ram
5. https://www.hindustantimes.com/india-news/unesco-meity-launch-exercise-to-assess-india-s-ai-readiness-101749188341803.html#
6. https://www.manoramayearbook.in/current-affairs/india/2025/06/09/unesco-ai-readiness-assessment-methodology-ram.html

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Executive Summary

A video circulating on social media claims to show the Deputy Chief of Army Staff and former DGMO of the Indian Army, Lieutenant General Rajiv Ghai, dancing with a young woman at a party. Users sharing the clip further allege that other junior military officers were also present at the event. CyberPeace Research Wing research found the claim to be misleading. The viral video has no connection with the Indian Army, Lt Gen Rajiv Ghai, or any official military function. The person seen in the video is actually the father of content creator Akanksha Sehgal, who has featured him in multiple videos on her social media accounts.

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Claim:

A Pakistani handle ‘Baba Thoka’ shared the video on X, alleging that Lt Gen Rajiv Ghai was seen dancing with young women at a party and that junior officers were also present.

1. https://x.com/ThokaReturns/status/2068069535715147896?s=20
2. https://archive.ph/H9EA0

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Fact Check:

A reverse image search of keyframes from the viral video led to the same clip being found on Instagram handle ‘akku_sehgal_’, posted on December 14, 2025. The video caption read: “POV – when your dad and your music taste match.”

• https://www.instagram.com/reels/DSPKg85EyIN/

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Further examination of the content creator Akanksha Sehgal’s Instagram profile showed multiple videos featuring the same father-daughter duo, confirming that the man in the viral clip frequently appears in her content.

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Conclusion:

The viral video claiming to show Lieutenant General Rajiv Ghai dancing at a party is misleading. The individual seen in the video is not the senior Indian Army officer but the father of content creator Akanksha Sehgal.

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