#FactCheck - False Claim about Video of Sadhu Lying in Fire at Mahakumbh 2025

Introduction

The integration of Artificial Intelligence into our daily workflows has compelled global policymakers to develop legislative frameworks to govern its impact efficiently. The question that we arrive at here is: While AI is undoubtedly transforming global economies, who governs the transformation? The EU AI Act was the first of its kind legislation to govern Artificial Intelligence, making the EU a pioneer in the emerging technology regulation space. This blog analyses the EU's Draft AI Rules and Code of Practice, exploring their implications for ethics, innovation, and governance.

Background: The Need for AI Regulation

AI adoption has been happening at a rapid pace and is projected to contribute  $15.7 trillion to the global economy by 2030. The AI market size is expected to grow by at least 120% year-over-year. Both of these statistics have been stated in arguments citing concrete examples of AI risks (e.g., bias in recruitment tools, misinformation spread through deepfakes). Unlike the U.S., which relies on sector-specific regulations, the EU proposes a unified framework to address AI's challenges comprehensively, especially with the vacuum that exists in the governance of emerging technologies such as AI. It should be noted that the GDPR or the General Data Protection Regulation has been a success with its global influence on data privacy laws and has started a domino effect for the creation of privacy regulations all over the world. This precedent emphasises the EU's proactive approach towards regulations which are population-centric. 

Overview of the Draft EU AI Rules

This Draft General Purpose AI Code of Practice details the AI rules for the AI Act rules and the providers of general-purpose AI models with systemic risks. The European AI Office facilitated the drawing up of the code, and was chaired by independent experts and involved nearly 1000 stakeholders and EU member state representatives and observers both European and international observers.

14th November 2024 marks the publishing of the first draft of the EU’s General-Purpose AI Code of Practice, established by the EU AI Act. As per Article 56 of the EU AI Act, the code outlines the rules that operationalise the requirements, set out for General-Purpose AI (GPAI) model under Article 53 and GPAI models with systemic risks under Article 55. The AI Act is legislation that finds its base in product safety and relies on setting harmonised standards in order to support compliance. These harmonised standards are essentially sets of operational rules that have been established by the European Standardisation bodies, such as the European Committee for Standardisation (CEN), the European Committee for Electrotechnical Standardisation (CENELEC) and the European Telecommunications Standards Institute. Industry experts, civil society and trade unions are translating the requirements set out by the EU sectoral legislation into the specific mandates set by the European Commission. The AI Act obligates the developers, deployers and users of AI on mandates for transparency, risk management and compliance mechanisms 

The Code of Practice for General Purpose AI

The most popular applications of GPAI include ChatGPT and other foundational models such as CoPilot from Microsoft, BERT  from Google, Llama from Meta AI and many others and they are under constant development and upgradation.  The 36-pages long draft Code of Practice for General Purpose AI is meant to serve as a roadmap for tech companies to comply with the AI Act and avoid paying penalties. It focuses on transparency, copyright compliance, risk assessment, and technical/governance risk mitigation as the core areas for the companies that are developing GPAIs. It also lays down guidelines that look to enable greater transparency on what goes into developing GPAIs. 

The Draft Code's provisions for risk assessment focus on preventing cyber attacks, large-scale discrimination, nuclear and misinformation risks, and the risk of the models acting autonomously without oversight. 

Policy Implications

The EU’s Draft AI Rules and Code of Practice represent a bold step in shaping the governance of general-purpose AI, positioning the EU as a global pioneer in responsible AI regulation. By prioritising harmonised standards, ethical safeguards, and risk mitigation, these rules aim to ensure AI benefits society while addressing its inherent risks. While the code is a welcome step, the compliance burdens on MSMEs and startups could hinder innovation, whereas, the voluntary nature of the Code raises concerns about accountability. Additionally, harmonising these ambitious standards with varying global frameworks, especially in regions like the U.S. and India, presents a significant challenge to achieving a cohesive global approach.

Conclusion

The EU’s initiative to regulate general-purpose AI aligns with its legacy of proactive governance, setting the stage for a transformative approach to balancing innovation with ethical accountability. However, challenges remain. Striking the right balance is crucial to avoid stifling innovation while ensuring robust enforcement and inclusivity for smaller players. Global collaboration is the next frontier. As the EU leads, the world must respond by building bridges between regional regulations and fostering a unified vision for AI governance. This demands active stakeholder engagement, adaptive frameworks, and a shared commitment to addressing emerging challenges in AI. The EU’s Draft AI Rules are not just about regulation, they are about leading a global conversation. 

References

• https://indianexpress.com/article/technology/artificial-intelligence/new-eu-ai-code-of-practice-draft-rules-9671152/ 
• https://digital-strategy.ec.europa.eu/en/policies/ai-code-practice 
• https://www.csis.org/analysis/eu-code-practice-general-purpose-ai-key-takeaways-first-draft#:~:text=Drafting%20of%20the%20Code%20of%20Practice%20is%20taking%20place%20under,the%20drafting%20of%20the%20code. 
• https://copyrightblog.kluweriplaw.com/2024/12/16/first-draft-of-the-general-purpose-ai-code-of-practice-has-been-released/

Introduction

The Sexual Harassment of minors in cyberspace has become a matter of grave concern that needs to be addressed. Sextortion is the practice of extorting individuals into sharing explicit and sexual content under the threat of exposure. This grim activity has evolved into a pervasive issue on several social media platforms, particularly Instagram. To combat this illicit act, big corporate giants such as Meta have deployed a comprehensive ‘nudity protection’ feature, leveraging the use of AI (Artificial Intelligence) algorithms to ascertain and address the rapid distribution of unsolicited explicit content.

The Meta Initiative presented a multifaceted approach to improve user safety, especially for young people online, who are more vulnerable to predatory behavior. 

The Salient Feature 

Instagram’s use of advanced AI algorithms to automatically identify and blur out explicit images shared within direct messages is the driving force behind this initiative. This new safety measure serves two essential purposes. 

• Preventing dissemination of sensitive content - The feature, when enabled, obstructs the visibility of sensitive personal pictures and also limits dissemination of the same. 
• Empower minors to exercise more control over their social media - This cutting feature comes with the ability to disable the nudity protection at the will of users, allowing users, including minors, to regulate their exposure to age-inappropriate and harmful materials online. The nudity protection feature is enabled for all users under 18 as a default setting on Instagram globally. This measure guarantees a baseline standard of security for the most vulnerable demographic of users. Adults are able to exercise more autonomy over the feature, receiving periodic prompts for its voluntary activationWhen this feature detects an explicit image, it automatically blurs the image with cautionary overlay, enabling recipients to make an informed decision about whether or not they wish to view the flagged content. The decision to introduce this feature is an interesting and sensitive approach to balancing individual agency with institutionalising online protection. 

Comprehensive Safety Measures Beyond Nudity Detection

The cutting-edge nudity protection feature is a crucial element of Instagram’s new strategy and is supported by a comprehensive set of measures devised to tackle sextortion and ensure a safe cyber environment for its users:

Awareness Drives and Safety Tips - Users sending and receiving sexually explicit content are directed to a screen with curated safety tips to ensure complete user awareness and inspire due diligence. These safety tips are critical in raising awareness about the risks of sharing sensitive content and inculcating responsible online behaviour. 

New Technology to Identify Sextortionists - Meta Platforms are constantly evolving, and new sophisticated algorithms are introduced to better detect malicious accounts engaged in possible sextortion. These proactive measures check for any predatory behaviour so that such threats can be neutralised before they escalate and do grave harm.  

Superior Reporting and Support Mechanisms - Instagram is implementing new technology to bolster its reporting mechanisms so that users reporting concerns pertaining to nudity, sexual exploitation and threats are instantaneously directed to local child safety authorities for necessary support and assistance. 

This new sophisticated approach highlights Instagram's Commitment to forging a safer haven for users by addressing various aspects of this grim issue through the three-pronged strategy of detection, prevention and support. 

User’s Safety and Accountability 

The implementation of the nudity protection feature and various associated safety measures is Meta’s way of tackling the growing concern about user safety in a more proactive manner, especially when it concerns minors.  Instagram’s experience with this feature will likely be the sandbox in which Meta tests its new user protection strategy and refines it before extending it to other platforms like Facebook and WhatsApp. 

Critical Reception and Future Outlook

The nudity protection feature has been met with positive feedback from experts and online safety advocates, commending Instagram for taking a proactive stance against sextortion and exploitation. However, critics also emphasise the need for continued innovation, transparency, and accountability to effectively address evolving threats and ensure comprehensive protection for all users.

Conclusion 

As digital spaces continue to evolve, Meta Platforms must demonstrate an ongoing commitment to adapting its safety measures and collaborating with relevant stakeholders to stay ahead of emerging challenges. Ongoing investment in advanced technology, user education, and robust support systems will be crucial in maintaining a secure and responsible online environment. Ultimately, Instagram's nudity protection feature represents a significant step forward in the fight against online sexual exploitation and abuse. By leveraging cutting-edge technology, fostering user awareness, and implementing comprehensive safety protocols, Meta Platforms is setting a positive example for other social media platforms to prioritise user safety and combat predatory behaviour in digital spaces.

References

• https://www.nbcnews.com/tech/tech-news/instagram-testing-blurring-nudity-messages-protect-teens-sextortion-rcna147402
• https://techcrunch.com/2024/04/11/meta-will-auto-blur-nudity-in-instagram-dms-in-latest-teen-safety-step/
• https://hypebeast.com/2024/4/instagram-dm-nudity-blurring-feature-teen-safety-info

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Introduction 

Prebunking is a technique that shifts the focus from directly challenging falsehoods or telling people what they need to believe to understanding how people are manipulated and misled online to begin with. It is a growing field of research that aims to help people resist persuasion by misinformation. Prebunking, or "attitudinal inoculation," is a way to teach people to spot and resist manipulative messages before they happen.  The crux of the approach is rooted in taking a step backwards and nipping the problem in the bud by deepening our understanding of it, instead of designing redressal mechanisms to tackle it after the fact. It has been proven effective in helping a wide range of people build resilience to misleading information.

Prebunking is a psychological strategy for countering the effect of misinformation with the goal of assisting individuals in identifying and resisting deceptive content, hence increasing resilience against future misinformation. Online manipulation is a complex issue, and multiple approaches are needed to curb its worst effects. Prebunking provides an opportunity to get ahead of online manipulation, providing a layer of protection before individuals encounter malicious content. Prebunking aids individuals in discerning and refuting misleading arguments, thus enabling them to resist a variety of online manipulations. 

Prebunking builds mental defenses for misinformation by providing warnings and counterarguments before people encounter malicious content. Inoculating people against false or misleading information is a powerful and effective method for building trust and understanding along with a personal capacity for discernment and fact-checking. Prebunking teaches people how to separate facts from myths by teaching them the importance of thinking in terms of ‘how you know what you know’ and consensus-building. Prebunking uses examples and case studies to explain the types and risks of misinformation so that individuals can apply these learnings to reject false claims and manipulation in the future as well. 

How Prebunking Helps Individuals Spot Manipulative Messages

Prebunking helps individuals identify manipulative messages by providing them with the necessary tools and knowledge to recognize common techniques used to spread misinformation. Successful prebunking strategies include;

1. Warnings;
2. Preemptive Refutation: It explains the narrative/technique and how particular information is manipulative in structure. The Inoculation treatment messages typically include 2-3 counterarguments and their refutations. An effective rebuttal provides the viewer with skills to fight any erroneous or misleading information they may encounter in the future.
3. Micro-dosing: A weakened or practical example of misinformation that is innocuous. 

All these alert individuals to potential manipulation attempts. Prebunking also offers weakened examples of misinformation, allowing individuals to practice identifying deceptive content. It activates mental defenses, preparing individuals to resist persuasion attempts. Misinformation can exploit cognitive biases: people tend to put a lot of faith in things they’ve heard repeatedly - a fact that malicious actors manipulate by flooding the Internet with their claims to help legitimise them by creating familiarity. The ‘prebunking’ technique helps to create resilience against misinformation and protects our minds from the harmful effects of misinformation. 

Prebunking essentially helps people control the information they consume by teaching them how to discern between accurate and deceptive content. It enables one to develop critical thinking skills, evaluate sources adequately and identify red flags. By incorporating these components and strategies, prebunking enhances the ability to spot manipulative messages, resist deceptive narratives, and make informed decisions when navigating the very dynamic and complex information landscape online.

CyberPeace Policy Recommendations

• Preventing and fighting misinformation necessitates joint efforts between different stakeholders. The government and policymakers should sponsor prebunking initiatives and information literacy programmes to counter misinformation and adopt systematic approaches. Regulatory frameworks should encourage accountability in the dissemination of online information on various platforms. Collaboration with educational institutions, technological companies and civil society organisations can assist in the implementation of prebunking techniques in a variety of areas.
• Higher educational institutions should support prebunking and media literacy and offer professional development opportunities for educators, and scholars by working with academics and professionals on the subject of misinformation by producing research studies on the grey areas and challenges associated with misinformation.
• Technological companies and social media platforms should improve algorithm transparency, create user-friendly tools and resources, and work with fact-checking organisations to incorporate fact-check labels and tools.
• Civil society organisations and NGOs should promote digital literacy campaigns to spread awareness on misinformation and teach prebunking strategies and critical information evaluation. Training programmes should be available to help people recognise and resist deceptive information using prebunking tactics. Advocacy efforts should support legislation or guidelines that support and encourage prebunking efforts and promote media literacy as a basic skill in the digital landscape. 
• Media outlets and journalists including print & social media should follow high journalistic standards and engage in fact-checking activities to ensure information accuracy before release. Collaboration with prebunking professionals, cyber security experts, researchers and advocacy analysts can result in instructional content and initiatives that promote media literacy, prebunking strategies and misinformation awareness.

Final Words

The World Economic Forum's Global Risks Report 2024 identifies misinformation and disinformation as the top most significant risks for the next two years. Misinformation and disinformation are rampant in today’s digital-first reality, and the ever-growing popularity of social media is only going to see the challenges compound further. It is absolutely imperative for all netizens and stakeholders  to adopt proactive approaches to counter the growing problem of misinformation. Prebunking is a powerful problem-solving tool in this regard because it aims at ‘protection through prevention’ instead of limiting the strategy to harm reduction and redressal.  We can draw parallels with the concept of vaccination or inoculation, reducing the probability of a misinformation infection. Prebunking exposes us to a weakened form of misinformation and provides ways to identify it, reducing the chance false information takes root in our psyches.

The most compelling attribute of this approach is that the focus is not only on preventing damage but also creating widespread ownership and citizen participation in the problem-solving process. Every empowered individual creates an additional layer of protection against the scourge of misinformation, not only making safer choices for themselves but also lowering the risk of spreading false claims to others.  

References

• [1] https://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2024.pdf
• [2] https://prebunking.withgoogle.com/docs/A_Practical_Guide_to_Prebunking_Misinformation.pdf
• [3] https://ijoc.org/index.php/ijoc/article/viewFile/17634/3565

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