#FactCheck - AI-Generated Image Falsely Shared as Bees Attacking Shankaracharya Swami Avimukteshwaranand Saraswati

The Rise of Tech Use Amongst Children

Technology today has become an invaluable resource for children, as a means to research issues, be informed about events, gather data, and share views and experiences with others. Technology is no longer limited to certain age groups or professions: children today are using it for learning & entertainment, engaging with their friends, online games and much more. With increased digital access, children are also exposed to online mis/disinformation and other forms of cyber crimes, far more than their parents, caregivers, and educators were in their childhood or are, even in the present. Children are particularly vulnerable to mis/disinformation due to their still-evolving maturity and cognitive capacities. The innocence of the youth is a major cause for concern when it comes to digital access because children simply do not possess the discernment and caution required to be able to navigate the Internet safely. They are active users of online resources and their presence on social media is an important factor of social, political and civic engagement but young people and children often lack the cognitive and emotional capacity needed to distinguish between reliable and unreliable information. As a result, they can be targets of mis/disinformation. ‘A UNICEF survey in 10 countries’[1] reveals that up to three-quarters of children reported feeling unable to judge the veracity of the information they encounter online.

Social media has become a crucial part of children's lives, with them spending a significant time on digital platforms such as Youtube, Facebook, Instagram and more. All these platforms act as source of news, educational content, entertainment, peer communication and more. These platforms host a variety of different kinds of content across a diverse range of subject matters, and each platform’s content and privacy policies are different. Despite age restrictions under the Children's Online Privacy Protection Act (COPPA), and other applicable laws, it is easy for children to falsify their birth date or use their parent's accounts to access content which might not be age-appropriate. 

The Impact of Misinformation on Children

In virtual settings, inaccurate information can come in the form of text, images, or videos shared through traditional and social media channels. In this age, online misinformation is a significant cause for concern, especially with children, because it  can cause anxiety, damage self-esteem, shape beliefs, and skewing their worldview/viewpoints. It can distort children's understanding of reality, hinder their critical thinking skills, and cause confusion and cognitive dissonance. The growing infodemic can even cause an overdose of information. Misinformation can also influence children's social interactions, leading to misunderstandings, conflicts, and mistrust among peers. Children from low literacy backgrounds are more susceptible to fabricated content. Mis/disinformation can exacerbate social divisions amongst peers and lead to unwanted behavioural patterns. Sometimes even children themselves can unwittingly spread/share misinformation. Therefore, it is important to educate & empower children to build cognitive defenses against online misinformation risks, promote media literacy skills, and equip them with the necessary tools to critically evaluate online information.

CyberPeace Policy Wing Recommendations

1. Role of Parents & Educators to Build Cognitive Defenses

One way parents shape their children's values, beliefs and actions is through modelling. Children observe how their parents use technology, handle challenging situations, and make decisions. For example, parents who demonstrate honesty, encourage healthy use of social media and show kindness and empathy are more likely to raise children who hold these qualities in high regard. Hence parents/educators play an important role in shaping the minds of their young charges and their behaviours, whether in offline or online settings. It is important for parents/educators to realise that they must pay close attention to how online content consumption is impacting the cognitive skills of their child. Parents/educators should educate children about authentic sources of information. This involves instructing children on the importance of using reliable, credible sources to utilise while researching on any topic of study or otherwise, and using verification mechanisms to test suspected information., This may sound like a challenging ideal to meet, but the earlier we teach children about Prebunking and Debunking strategies and the ability to differentiate between fact and misleading information, the sooner we can help them build cognitive defenses so that they may use the Internet safely. Hence it becomes paramount important for parents/educators to require children to question the validity of information, verify sources, and critically analyze content. Developing these skills is essential for navigating the digital world effectively and making informed decisions.

2. The Role of Tech & Social Media Companies to Fortify their Steps in Countering Misinformation

Is worth noting that all major tech/social media companies have privacy policies in place to discourage any spread of harmful content or misinformation. Social media platforms have already initiated efforts to counter misinformation by introducing new features such as adding context to content, labelling content, AI watermarks and collaboration with civil society organisations to counter the widespread online misinformation. In light of this, social media platforms must prioritise both the designing and the practical implementation aspects of policy development and deployment to counter misinformation strictly. These strategies can be further improved upon  through government support and regulatory controls. It is recommended that social media platforms must further increase their efforts to counter increasing spread of online mis/disinformation and apply advanced techniques to counter misinformation including filtering, automated removal, detection and prevention, watermarking, increasing reporting mechanisms, providing context to suspected content, and promoting authenticated/reliable sources of information.

Social media platforms should consider developing children-specific help centres that host educational content in attractive, easy-to-understand formats so that children can learn about misinformation risks and tactics, how to spot red flags and how to increase their information literacy and protect themselves and their peers. Age-appropriate, attractive and simple content can go a long way towards fortifying young minds and making them aware and alert without creating fear. 

3. Laws and Regulations

It is important that the government and the social media platforms work in sync to counteract misinformation. The government must consult with the concerned platforms and enact rules and regulations which strengthen the platform’s age verification mechanisms at the sign up/ account creation stage whilst also respecting user privacy. Content moderation, removal of harmful content, and strengthening reporting mechanisms all are important factors which must be prioritised at both the regulatory level and the platform operational level. Additionally, in order to promote healthy and responsible use of technology by children, the government should collaborate with other institutions to design information literacy programs at the school level. The government must make it a key priority to work with civil society organisations and expert groups that run programs to fight misinformation and co-create  a safe cyberspace for everyone, including children. 

4. Expert Organisations and Civil Societies

Cybersecurity experts and civil society organisations possess the unique blend of large scale impact potential and technical expertise. We have the ability to educate and empower huge numbers, along with the skills and policy acumen needed to be able to not just make people aware of the problem but also teach them how to solve it for themselves. True, sustainable solutions to any social concern only come about when capacity-building and empowerment are at the heart of the initiative. Programs that prioritise resilience, teach Prebunking and Debunking and are able to understand the unique concerns, needs and abilities of children and design solutions accordingly are the best suited to implement the administration’s mission to create a safe digital society. 

Final Words 

Online misinformation significantly impacts child development and can hinder their cognitive abilities, color their viewpoints, and cause confusion and mistrust. It is important that children are taught not just how to use technology but how to use it responsibly and positively. This education can begin at a very young age and parents, guardians and educators can connect with CyberPeace and other similar initiatives on how to define age-appropriate learning milestones. Together, we can not only empower children to be safe today, but also help them develop into netizens who make the world even safer for others tomorrow. 

References:

• [1] Digital misinformation / disinformation and children
• [2] Children's Privacy | Federal Trade Commission

‍

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

‍

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

‍

As AI language models become more powerful, they are also becoming more prone to errors. One increasingly prominent issue is AI hallucinations, instances where models generate outputs that are factually incorrect, nonsensical, or entirely fabricated, yet present them with complete confidence. Recently, ChatGPT released two new models—o3 and o4-mini, which differ from earlier versions as they focus more on step-by-step reasoning rather than simple text prediction. With the growing reliance on chatbots and generative models for everything from news summaries to legal advice, this phenomenon poses a serious threat to public trust, information accuracy, and decision-making.

What Are AI Hallucinations?

AI hallucinations occur when a model invents facts, misattributes quotes, or cites nonexistent sources. This is not a bug but a side effect of how Large Language Models (LLMs) work, and it is only the probability that can be reduced, not their occurrence altogether. Trained on vast internet data, these models predict what word is likely to come next in a sequence. They have no true understanding of the world or facts, they simulate reasoning based on statistical patterns in text. What is alarming is that the newer and more advanced models are producing more hallucinations, not fewer. seemingly counterintuitive. This has been prevalent reasoning-based models, which generate answers step-by-step in a chain-of-thought style. While this can improve performance on complex tasks, it also opens more room for errors at each step, especially when no factual retrieval or grounding is involved.

As per reports shared on TechCrunch, it mentioned that when users asked AI models for short answers, hallucinations increased by up to 30%. And a study published in eWeek found that ChatGPT hallucinated in 40% of tests involving domain-specific queries, such as medical and legal questions. This was not, however, limited to this particular Large Language Model, but also similar ones like DeepSeek. Even more concerning are hallucinations in multimodal models like those used for deepfakes. Forbes reports that some of these models produce synthetic media that not only look real but are also capable of contributing to fabricated narratives, raising the stakes for the spread of misinformation during elections, crises, and other instances.

It is also notable that AI models are continually improving with each version, focusing on reducing hallucinations and enhancing accuracy. New features, such as providing source links and citations, are being implemented to increase transparency and reliability in responses.

The Misinformation Dilemma

The rise of AI-generated hallucinations exacerbates the already severe problem of online misinformation. Hallucinated content can quickly spread across social platforms, get scraped into training datasets, and re-emerge in new generations of models, creating a dangerous feedback loop. However, it helps that the developers are already aware of such instances and are actively charting out ways in which we can reduce the probability of this error. Some of them are:

1. Retrieval-Augmented Generation (RAG): Instead of relying purely on a model’s internal knowledge, RAG allows the model to “look up” information from external databases or trusted sources during the generation process. This can significantly reduce hallucination rates by anchoring responses in verifiable data.
2. Use of smaller, more specialised language models: Lightweight models fine-tuned on specific domains, such as medical records or legal texts. They tend to hallucinate less because their scope is limited and better curated.

Furthermore, transparency mechanisms such as source citation, model disclaimers, and user feedback loops can help mitigate the impact of hallucinations. For instance, when a model generates a response, linking back to its source allows users to verify the claims made.

Conclusion

AI hallucinations are an intrinsic part of how generative models function today, and such a side-effect would continue to occur until foundational changes are made in how models are trained and deployed. For the time being, developers, companies, and users must approach AI-generated content with caution. LLMs are, fundamentally, word predictors, brilliant but fallible. Recognising their limitations is the first step in navigating the misinformation dilemma they pose.

References

• https://www.eweek.com/news/ai-hallucinations-increase/
• https://www.resilience.org/stories/2025-05-11/better-ai-has-more-hallucinations/ 
• https://www.ekathimerini.com/nytimes/1269076/ai-is-getting-more-powerful-but-its-hallucinations-are-getting-worse/ 
• https://techcrunch.com/2025/05/08/asking-chatbots-for-short-answers-can-increase-hallucinations-study-finds/ 
• https://en.as.com/latest_news/is-chatgpt-having-robot-dreams-ai-is-hallucinating-and-producing-incorrect-information-and-experts-dont-know-why-n/
• https://www.newscientist.com/article/2479545-ai-hallucinations-are-getting-worse-and-theyre-here-to-stay/
• https://www.forbes.com/sites/conormurray/2025/05/06/why-ai-hallucinations-are-worse-than-ever/ 
• https://towardsdatascience.com/how-i-deal-with-hallucinations-at-an-ai-startup-9fc4121295cc/ 
• https://www.informationweek.com/machine-learning-ai/getting-a-handle-on-ai-hallucinations 

‍