#FactCheck: Fake viral AI video captures a real-time bridge failure incident in Bihar

Introduction

In 2025, the internet is entering a new paradigm and it is hard not to witness it. The internet as we know it is rapidly changing into a treasure trove of hyper-optimised material over which vast bot armies battle to the death, thanks to the amazing advancements in artificial intelligence. All of that advancement, however, has a price, primarily in human lives. It turns out that releasing highly personalised chatbots on a populace that is already struggling with economic stagnation, terminal loneliness, and the ongoing destruction of our planet isn’t exactly a formula for improved mental health. This is the truth of 75% of the kids and teen population who have had chats with chatbot-generated fictitious characters. AI, or artificial intelligence, Chatbots are becoming more and more integrated into our daily lives, assisting us with customer service, entertainment, healthcare, and education. But as the impact of these instruments grows, accountability and moral behaviour become more important. An investigation of the internal policies of a major international tech firm last year exposed alarming gaps: AI chatbots were allowed to create content with child romantic roleplaying, racially discriminatory reasoning, and spurious medical claims. Although the firm has since amended aspects of these rules, the exposé underscores an underlying global dilemma - how can we regulate AI to maintain child safety, guard against misinformation, and adhere to ethical considerations without suppressing innovation? 

The Guidelines and Their Gaps

The tech giants like Meta and Google are often reprimanded for overlooking Child Safety and the overall increase in Mental health issues in children and adolescents. According to reports, Google introduced Gemini AI kids, a kid-friendly version of its Gemini AI chatbot, which represents a major advancement in the incorporation of generative artificial intelligence (Gen-AI) into early schooling. Users under the age of thirteen can use supervised accounts on the Family Link app to access this version of Gemini AI Kids.

AI operates on the premise of data collection and analysis. To safeguard children’s personal information in the digital world, the Digital Personal Data Protection Act, 2023 (DPDP Act) introduces particular safeguards. According to Section 9, before processing the data of children, who are defined as people under the age of 18, Data Fiduciaries, entities that decide the goals and methods of processing personal data, must get verified consent from a parent or legal guardian. Furthermore, the Act expressly forbids processing activities that could endanger a child’s welfare, such as behavioural surveillance and child-targeted advertising. According to court interpretations, a child's well-being includes not just medical care but also their moral, ethical, and emotional growth. 

While the DPDP Act is a big start in the right direction, there are still important lacunae in how it addresses AI and Child Safety. Age-gating systems, thorough risk rating, and limitations specific to AI-driven platforms are absent from the Act, which largely concentrates on consent and damage prevention in data protection. Furthermore, it ignores the threats to children’s emotional safety or the long-term psychological effects of interacting with generative AI models. Current safeguards are self-regulatory in nature and dispersed across several laws, such as the Bhartiya Nyaya Sanhita, 2023. These include platform disclaimers, technology-based detection of child-sexual abuse content, and measures under the IT (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021. 

Child Safety and AI

• The Risks of Romantic Roleplay - Enabling chatbots to engage in romantic roleplaying with youngsters is among the most concerning discoveries. These interactions can result in grooming, psychological trauma, and relaxation to inappropriate behaviour, even if they are not explicitly sexual. Having illicit or sexual conversations with kids in cyberspace is unacceptable, according to child protection experts. However, permitting even "flirtatious" conversation could normalise risky boundaries.
•  International Standards and Best Practices - The concept of "safety by design" is highly valued in child online safety guidelines from around the world, including UNICEF's Child Online Protection Guidelines and the UK's Online Safety Bill. This mandating of platforms and developers to proactively remove risks, not reactively to respond to harms, is the bare minimum standard that any AI guidelines must meet if they provide loopholes for child-directed roleplay.

Misinformation and Racism in AI Outputs

• The Disinformation Dilemma - The regulations also allowed AI to create fictional narratives with disclaimers. For example, chatbots were able to write articles promulgating false health claims or smears against public officials, as long as they were labelled as "untrue." While disclaimers might give thin legal cover, they add to the proliferation of misleading information. Indeed, misinformation tends to spread extensively because users disregard caveat labels in favour of provocative assertions.

•   Ethical Lines and Discriminatory Content - It is ethically questionable to allow AI systems to generate racist arguments, even when requested. Though scholarly research into prejudice and bias may necessitate such examples, unregulated generation has the potential to normalise damaging stereotypes. Researchers warn that such practice brings platforms from being passive hosts of offensive speech to active generators of discriminatory content. It is a difference that makes a difference, as it places responsibility squarely on developers and corporations.

The Broader Governance Challenge

• Corporate Responsibility and AI Material generated by AI is not equivalent to user speech—it is a direct reflection of corporate training, policy decisions, and system engineering. This fact requires a greater level of accountability. Although companies can update guidelines following public criticism, that there were such allowances in the first place indicates a lack of strong ethical regulation.
•  Regulatory Gaps Regulatory regimes for AI are currently in disarray. The EU AI Act, the OECD AI Principles, and national policies all emphasise human rights, transparency, and accountability. The few, though, specify clear guidelines for content risks such as child roleplay or hate narratives. This absence of harmonised international rules leaves companies acting in the shadows, establishing their own limits until contradicted.

An active way forward would include

• Express Child Protection Requirements: AI systems must categorically prohibit interactions with children involving flirting or romance.
• Misinformation Protections: Generative AI must not be allowed to generate knowingly false material, disclaimers being irrelevant.
• Bias Reduction: Developers need to proactively train systems against generating discriminatory accounts, not merely tag them as optional outputs.
• Independent Regulation: External audit and ethics review boards can supply transparency and accountability independent of internal company regulations.

Conclusion

The guidelines that are often contentious are more than the internal folly of just one firm; they point to a deeper systemic issue in AI regulation. The stakes rise as generative AI becomes more and more integrated into politics, healthcare, education, and social interaction. Racism, false information, and inadequate child safety measures are severe issues that require quick resolution. Corporate regulation is only one aspect of the future; other elements include multi-stakeholder participation, stronger global systems, and ethical standards. In the end, rather than just corporate interests, trust in artificial neural networks will be based on their ability to preserve the truth, protect the weak, and represent universal human values.

References

• https://www.esafety.gov.au/newsroom/blogs/ai-chatbots-and-companions-risks-to-children-and-young-people 
•   https://www.lakshmisri.com/insights/articles/ai-for-children/# 
•   https://the420.in/meta-ai-chatbot-guidelines-child-safety-racism-misinformation/
• https://www.unicef.org/documents/guidelines-industry-online-child-protection
•  https://www.oecd.org/en/topics/sub-issues/ai-principles.html
• https://artificialintelligenceact.eu/

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Introduction

A photo circulating on social media depicting modified tractors is being misrepresented as part of the 'Delhi Chalo' farmers' protest narrative. In the recent swirl of misinformation surrounding the 'Delhi Chalo' farmers' protest. A photo, ostensibly showing a phalanx of modified tractors, has been making the rounds on social media platforms, falsely tethered to the ongoing protests. This image, accompanied by a headline suggesting a mechanical metamorphosis to resist police barricades, was allegedly published by a news agency. However, beneath the surface of this viral phenomenon lies a more complex and fabricated reality.

The Movement 

The 'Delhi Chalo' movement, a clarion call that resonated with thousands of farmers from the fertile plains of Punjab, the verdant fields of Haryana, and the sprawling expanses of Uttar Pradesh, has been a testament to the agrarian community's demand for assured crop prices and legal guarantees for the Minimum Support Price (MSP). The protest, which has seen the fortification of borders and the chaos at the Punjab-Haryana border on February 13, 2024, has become a crucible for the farmers' unyielding spirit.

Yet, amidst this backdrop of civil demonstration and discourse, a nefarious narrative of misinformation has taken root. The viral image, which has been shared with the fervour of wildfire, was accompanied by a screenshot of an article allegedly published by the news agency. This article, dated February 11, 2024, quoted an anonymous official who claimed that intelligence agencies had alerted the police to the protesters' plans to outfit tractors with hydraulic tools. The implication was clear: these machines had been transformed into battering rams against the bulwark of law enforcement.

The Pursuit of Truth

However, the India TV Fact Check team, in their relentless pursuit of truth, unearthed that the viral photo of these so-called modified tractors is nothing but a chimerical creation, a figment of artificial intelligence. Visual discrepancies betrayed its AI-generated nature. 

This is not the first time that the misinformation has loomed over the farmers' protest. Previous instances, including a viral video of a modified tractor, have been debunked by the same fact-checking team. These efforts are a bulwark against the tide of false narratives that seek to muddy the waters of public understanding.

The claim that the photo depicted modified tractors intended for use in the ‘Delhi Chalo’ farmers' protest rally in Delhi on February 13, 2024, was a mirage. 

The Fact Check

OpIndia, in their article, clarified that the photo used was a representative image created by AI and not a real photograph. To further scrutinize this viral photo, the HIVE AI detector tool was employed, indicating a 99.4% likelihood of the image being AI-generated. Thus, the claim made in the post was misleading.

The viral photo claiming that farmers had modified their tractors to avoid tear gas shells and remove barricades put up by the police during the rally was a digital illusion. The internet has become a fertile ground for the rapid spread of misinformation, reaching millions in an instant. Social media, with its complex algorithms, amplifies this spread, as any interaction, even those intended to debunk false information, inadvertently increases its reach. This phenomenon is exacerbated by 'echo chambers,' where users are exposed to a homogenous stream of content that reinforces their pre-existing beliefs, making it difficult to encounter and consider alternative perspectives.

Conclusion 

The viral image depicting modified tractors for the ‘Delhi Chalo’ farmers' protest rally was a digital fabrication, a testament to the power of AI in creating convincing yet false narratives. As we navigate the labyrinth of information in the digital era, it is imperative to remain vigilant, to question the veracity of what we see and hear, and to rely on the diligent work of fact-checkers in discerning the truth. The mirage of modified machines serves as a stark reminder of the potency of misinformation and the importance of critical thinking in the age of artificial intelligence.

References

• https://www.indiatvnews.com/fact-check/fact-check-ai-generated-tractor-photo-misrepresented-delhi-chalo-farmers-protest-narrative-msp-police-barricades-punjab-haryana-uttar-pradesh-2024-02-15-917010
• https://factly.in/this-viral-image-depicting-modified-tractors-for-the-delhi-chalo-farmers-protest-rally-is-created-using-ai/

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Introduction

In this age, when our data stands as the key to all resources, espionage has moved from dark alleys and trench coats to keyboards and code. In this era of active digital espionage, where intelligence is stolen through invisible cyberattacks that target computer networks. Cyber espionage and spying have become the most critical threat in the hyper-connected world of today. As governments, corporations, and individuals store an immense amount of confidential information online, the grounds of espionage have shifted from land and sea to the silent realm of cyberspace. 

What is Cyber Espionage? 

Cyber espionage refers to the unauthorised access of confidential data for strategic, political, military, and financial gain, unlike cybercrime, which is mostly about money. Cyber espionage is about gaining information power. The very first documented case dates back to 1986-87, when a group of German hackers breached the US military establishment and the defence systems and sold that stolen data to the Soviets and the KGB. This was the beginning of a new era where classified intelligence could be gathered even without entering a building. 

Cyber espionage is mostly carried out by trained espionage professionals, elite hackers, and corporate spies whose sole purpose is to target the government, research organisations, military establishments, and other critical infrastructures.   

The Objective

The act of Cyber Espionage is being driven by three major objectives, such as;

• Stealing of Intellectual Property- Starting from information and data related to military establishments to pharmaceutical patents, stealing innovation is cheaper than funding R&D. 
• Political and Diplomatic Advantage- As government networks are hacked to access state secrets, negotiation strategies, and classified communications.
• Military Intelligence- Cyber spies also work to steal data on weapons troop movements, defence systems, and war systems, often years before conflict breaks out. 

In a world being shaped by digital power, information is not just about knowledge. Rather, it is all about ensuring dominance. 

The arsenal of modern digital spies is more sophisticated, and most importantly, they are used covertly rather than the spy gadgets that are shown in spy movies. Some of the tactics resorted to by the cyber spies can be recognised as; 

• Phishing Attacks through fake emails that lure victims to click on malicious links or sharing of passwords. 
• Persisting Advanced Threats through long-term stealth attacks in a network for more than a month or a year. 
• Malware and Spyware are invisible software that logs keystrokes, records screens, or steals files silently. 
• Deepfake Manipulations by creating AI-generated fake videos that can influence political developments in the country. 

Anything that makes cyber espionage terrifying is not just the theft, but the fact that it goes undetected. 

What Differentiates Cyber Espionage and Cyber Warfare

Cyber espionage is a silent and stealthy tactic that is carried out with utmost secrecy, being a long-term effort for intelligence gathering. It mostly focuses on the stealing of data, whereas Cyber warfare is an open and destructive tactic that is used to create an immediate and visible impact to create disruption. However, espionage is an act that prepares the battlefield for the warfare of the future. 

Taking instances of real instances of cyber espionage, we can refer to examples such as; 

• Operation Aurora was conducted in 2010, where Chinese Hackers based in Beijing tried to steal IP data from Google and American tech giants. 
• The Stuxnet attack in 2010 was another cyber weapon that was developed to sabotage Iran’s nuclear centrifuges. 
•  SolarWinds Attack of 2020 was an instance of cyber espionage where a supply chain hack was carried out to target multiple US federal government agencies. 

As most of these instances reflect that they were battles without guns, but with the use of codes. Several sources raise the question of whether cyber-attacks can be stopped. The answer lies in the fact that they cannot be stopped completely, but can be minimised to some extent, by developing capabilities to counter and deter cyber-attacks with the help of equal cyber defence capabilities. 

Conclusion 

From the Cold War era to the present Code War, espionage has evolved with technology. An effort that was once taken solely by spies and human assets, with the passing of time enhancement of technologies it is now expanded to malware, phishing, social engineering, and remote digital inflation. In this age of information warfare, espionage is faster, cheaper, and harder to trace than ever before. The enemies of a nation may never cross its borders, but they may already be inside its systems. However, the world has now officially entered a new battlefield, without boundaries, uniforms, and bombs. It is now being fought through bytes, breaches, and invisible enemies.  

References

• https://www.sentinelone.com/cybersecurity-101/threat-intelligence/cyber-espionage/
• https://www.espiamos.com/en/content/espionage-in-the-digital-world-threats-and-opportunities.html
• https://www.apu.apus.edu/area-of-study/information-technology/resources/what-is-cyber-warfare/
• https://pride-security.co.uk/the-rise-of-digital-warfare-understanding-the-evolution-of-cyber-espionage/

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