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As technological advancements continue to shape the future, the rise of artificial intelligence brings with it significant potential benefits, yet also raises concerns about the spread of misinformation. Recognising the need for accountability on both ends, on 5th May, during the three-day World News Media Congress 2025 in Kraków, Poland the European Broadcasting Union (EBU) and the World Association of News Publishers (WAN-IFRA) have announced to the public the five core principles for their joint initiative called News Integrity in the Age of AI. The initiative is aimed at fostering dialogue and cooperation between media organisations and technology platforms, and the principles announced are to be a code of practice to be followed by all those taking part. With thousands of public and private media outlets around the world joining the effort, the initiative highlights the shared responsibility of AI developers to ensure that AI systems are trustworthy, safe, and supportive of a reliable news ecosystem. It represents a global call to action to uphold the integrity of news in this age of major influx and curb the growing challenge of misinformation.

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The five core principles released focus on:

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1. Authorisation of content by the originators is a must prior to its usage in Generative AI tools and models

2. High-quality and up-to-date news content must be recognised by third parties that are benefiting from it

3. There must be a focus on accuracy and attribution, making the original sources of news  apparent to the public, promoting transparency

4. Harnessing the plural nature of the news perspectives, which will help AI-driven tools perform better and

5. An invitation to tech companies for an open dialogue with news outlets, facilitating conversation to collaborate and develop standards of transparency, accuracy, and safety.

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As this initiative provides a unified platform to address and deliberate on issues affecting the integrity of news, there are also some other technical ways in which misinformation in news caused by AI can be curbed:

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1. Encourage the usage of Smaller Generative AI Models: The Large Language Models (LLMs) have to be trained on a range of topics. Businesses don’t require such an expanse of information but just a little that is relevant. A narrower context of information to be sourced from allows better content navigation and a reduced chance of mix-up.

2. Fighting AI hallucination: This is a phenomenon that causes generative AI (such as chatbots and computer vision tools) to present nonsensical and inaccurate outputs as the system perceives objects or patterns that are imperceptible or non-existent to human observers. This occurs as a result of the system trying to focus on both language fluency and stitching information from different sources together. In order to deal with this, one can deploy retrieval augmented generation (RAG). This enables connection with external sources of data that include academic journals, a company’s organisational data, among other things, that would help in providing more accurate, domain-specific content.  

Conclusion

This global call to action marks an important step toward fostering unified efforts to combat misinformation. The set of principles introduced is designed to be adaptable, providing a flexible framework that can evolve to address emerging challenges (through dialogue and discussion), including issues like copyright infringement. While AI offers powerful tools to support the news industry, it is essential to emphasise that human oversight remains crucial. These technological advancements are meant to enhance and augment the work of journalists, not replace it, ensuring that the core values of journalism, such as accuracy and integrity, are preserved in the age of AI.

References

● https://www.techtarget.com/searchenterpriseai/tip/Generative-AI-ethics-8-biggest-concerns

● https://trilateralresearch.com/responsible-ai/using-responsible-ai-to-combat-misinformation

● https://www.omdena.com/blog/the-ethical-role-of-ai-in-media-combating-misformation

● https://2024.jou.ufl.edu/page/ai-and-misinformation

● https://www.thehindu.com/sci-tech/technology/ai-developers-should-counter-misinformation-protect-fact-based-news-global-media-groups/article69547636.ece

● https://techxplore.com/news/2025-05-ai-counter-misinformation-fact-based.html

● https://www.advanced-television.com/2025/05/06/media-outlets-call-for-ai-companies-news-integrity-protection/https://www.ibm.com/think/insights/ai-misinformation

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Introduction

A Pew Research Center survey conducted in September 2023, found that among 1,453  age group of 13-17 year olds projected that the majority of the age group uses TikTok (63%), Snapchat (60%) and Instagram (59%) in the U.S. Further, in India the 13-19 year-olds age group makes up 31% of social media users in India, according to a report by Statista from 2021. This has been the leading cause of young users inadvertently or deliberately accessing adult content on social media platforms.  

Brief Analysis of Meta’s Proposed AI Age Classifier 

It can be seen as a step towards safer and moderated content for teen users, by placing age restrictions on teen social media users as sometimes they do not have enough cognitive skills to understand what content can be shared and consumed on these platforms and what can not as per their age. Moreover, there needs to be an understanding of platform policies and they need to understand that nothing can be completely erased from the internet.

Unrestricted access to social media exposes teens to potentially harmful or inappropriate online content, raising concerns about their safety and mental well-being. Meta's recent measures aim to address this, however striking a balance between engagement, protection, and privacy is also an essential part. 

The AI-based Age Classifier proposed by Meta classifies users based on their age and places them in the ‘Teen Account’ category which has built-in limits on who can contact them, the content they see and more ways to connect and explore their interests. According to Meta, teens under 16 years of age will need parental permission to change these settings.

Meta's Proposed Solution: AI-Powered Age Classifier

This tool uses Artificial Intelligence (AI) to analyze users’ online behaviours and other profile information to estimate their age. It analyses different factors such as who follows the user, what kind of content they interact with, and even comments like birthday posts from friends. If the classifier detects that a user is likely under 18 years old, it will automatically switch them to a “Teen Account.” These accounts have more restricted privacy settings, such as limiting who can message the user and filtering the type of content they can see. 

The adult classifier is anticipated to be deployed by next year and will start scanning for such users who may have lied about their age. All users found to be under 18 years old will be placed in the category of teen accounts, but 16-17 year olds will be able to adjust these settings if they want more flexibility, while younger teens will need parental permission. The effort is part of a broader strategy to protect teens from potentially harmful content on social media. This is especially important in today’s time as the invasion of privacy for anyone, particularly, can be penalised due to legal instruments like GDPR, DPDP Act, COPPA and many more. 

Policy Implications and Compliances

Meta's AI Age Classifier addresses the growing concerns over teen safety on social media by categorizing users based on age, restricting minors' access to adult content, and enforcing parental controls. However, reliance on behavioural tracking might potentially impact the online privacy of teen users. Hence the approach of Meta needs to be aligned with applicable jurisdictional laws. In India, the recently enacted DPDP Act, of 2023 prohibits behavioural tracking and targeted advertising to children. Accuracy and privacy are the two main concerns that Meta should anticipate when they roll out the classifier.

Meta emphasises transparency to build user trust, and customizable parental controls empower families to manage teens' online experiences. This initiative reflects Meta's commitment to creating a safer, regulated digital space for young users worldwide, it must also align its policies properly with the regional policy and law standards. Meta’s proposed AI Age Classifier aims to protect teens from adult content, reassure parents by allowing them to curate acceptable content, and enhance platform integrity by ensuring a safer environment for teen users on Instagram.

Conclusion 

Meta’s AI Age Classifier while promising to enhance teen safety and putting certain restrictions and parental controls on accounts categorised as ‘teen accounts’, must also properly align with global regulations like GDPR, and the DPDP Act with reference to India. This tool offers reassurance to parents and aims to foster a safer social media environment for teens. To support accurate age estimation and transparency, policy should focus on refining AI methods to minimise errors and ensure clear disclosures about data handling. Collaborative international standards are essential as privacy laws evolve. Meta’s initiative is intended to prioritise youth protection and build public trust in AI-driven moderation across social platforms, while it must also balance the online privacy of users while utilising these advanced tech measures on the platforms. 

References

• https://familycenter.meta.com/in/our-products/instagram/ 
• https://www.indiatoday.in/technology/news/story/instagram-will-now-take-help-of-ai-to-check-if-kids-are-lying-about-their-age-on-app-2628464-2024-11-05 
• https://www.bloomberg.com/news/articles/2024-11-04/instagram-plans-to-use-ai-to-catch-teens-lying-about-age
• https://tech.facebook.com/artificial-intelligence/2022/6/adult-classifier/‍
• https://indianexpress.com/article/technology/artificial-intelligence/too-young-to-use-instagram-metas-ai-classifier-could-help-catch-teens-lying-about-their-age-9658555/

Introduction

The Indian government has introduced initiatives to enhance data sharing between law enforcement and stakeholders to combat cybercrime. Union Home Minister Amit Shah has launched the Central Suspect Registry, Cyber Fraud Mitigation Center, Samanvay Platform and Cyber Commandos programme on the Indian Cyber Crime Coordination Centre (I4C) Foundation Day celebration took place on the 10th September 2024 at Vigyan Bhawan, New Delhi. The ‘Central Suspect Registry’ will serve as a central-level database with consolidated data on cybercrime suspects nationwide. The Indian Cyber Crime Coordinating Center will share a list of all repeat offenders on their servers. Shri Shah added that the Suspect Registry at the central level and connecting the states with it will help in the prevention of cybercrime.

Key Highlights of Central Suspect Registry

The Indian Cyber Crime Coordination Centre (I4C) has established the suspect registry in collaboration with banks and financial intermediaries to enhance fraud risk management in the financial ecosystem. The registry will serve as a central-level database with consolidated data on cybercrime suspects. Using data from the National Cybercrime Reporting Portal (NCRP), the registry makes it possible to identify cybercriminals as potential threats.

Central Suspect Registry Need of the Hour

The Union Home Minister of India, Shri Shah, has emphasized the need for a national Cyber Suspect Registry to combat cybercrime. He argued that having separate registries for each state would not be effective, as cybercriminals have no boundaries. He emphasized the importance of connecting states to this platform, stating it would significantly help prevent future cyber crimes.

CyberPeace Outlook

There has been an alarming uptick in cybercrimes in the country highlighting the need for proactive approaches to counter the emerging threats. The recently launched initiatives under the umbrella of the Indian Cyber Crime Coordination Centre will serve as significant steps taken by the centre to improve coordination between law enforcement agencies, strengthen user awareness, and offer technical capabilities to target cyber criminals and overall aim to combat the growing rate of cybercrime in the country.

References:

1. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2053438

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