#FactCheck - Viral Post of Gautam Adani’s Public Arrest Found to Be AI-Generated
Executive Summary:
A viral post on X (formerly twitter) shared with misleading captions about Gautam Adani being arrested in public for fraud, bribery and corruption. The charges accuse him, his nephew Sagar Adani and 6 others of his group allegedly defrauding American investors and orchestrating a bribery scheme to secure a multi-billion-dollar solar energy project awarded by the Indian government. Always verify claims before sharing posts/photos as this came out to be AI-generated.

Claim:
An image circulating of public arrest after a US court accused Gautam Adani and executives of bribery.
Fact Check:
There are multiple anomalies as we can see in the picture attached below, (highlighted in red circle) the police officer grabbing Adani’s arm has six fingers. Adani’s other hand is completely absent. The left eye of an officer (marked in blue) is inconsistent with the right. The faces of officers (marked in yellow and green circles) appear distorted, and another officer (shown in pink circle) appears to have a fully covered face. With all this evidence the picture is too distorted for an image to be clicked by a camera.


A thorough examination utilizing AI detection software concluded that the image was synthetically produced.
Conclusion:
A viral image circulating of the public arrest of Gautam Adani after a US court accused of bribery. After analysing the image, it is proved to be an AI-Generated image and there is no authentic information in any news articles. Such misinformation spreads fast and can confuse and harm public perception. Always verify the image by checking for visual inconsistency and using trusted sources to confirm authenticity.
- Claim: Gautam Adani arrested in public by law enforcement agencies
- Claimed On: Instagram and X (Formerly Known As Twitter)
- Fact Check: False and Misleading
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Executive Summary:
A post on X (formerly Twitter) featuring an image that has been widely shared with misleading captions, claiming to show men riding an elephant next to a tiger in Bihar, India. This post has sparked both fascination and skepticism on social media. However, our investigation has revealed that the image is misleading. It is not a recent photograph; rather, it is a photo of an incident from 2011. Always verify claims before sharing.

Claims:
An image purporting to depict men riding an elephant next to a tiger in Bihar has gone viral, implying that this astonishing event truly took place.

Fact Check:
After investigation of the viral image using Reverse Image Search shows that it comes from an older video. The footage shows a tiger that was shot after it became a man-eater by forest guard. The tiger killed six people and caused panic in local villages in the Ramnagar division of Uttarakhand in January, 2011.

Before sharing viral posts, take a brief moment to verify the facts. Misinformation spreads quickly and it’s far better to rely on trusted fact-checking sources.
Conclusion:
The claim that men rode an elephant alongside a tiger in Bihar is false. The photo presented as recent actually originates from the past and does not depict a current event. Social media users should exercise caution and verify sensational claims before sharing them.
- Claim: The video shows people casually interacting with a tiger in Bihar
- Claimed On:Instagram and X (Formerly Known As Twitter)
- Fact Check: False and Misleading

Introduction
We consume news from various sources such as news channels, social media platforms and the Internet etc. In the age of the Internet and social media, the concern of misinformation has become a common issue as there is widespread misinformation or fake news on the Internet and social media platforms.
Misinformation on social media platforms
The wide availability of user-provided content on online social media platforms facilitates the spread of misinformation. With the vast population on social media platforms, the information gets viral and spreads all over the internet. It has become a serious concern as such misinformation, including rumours, morphed images, unverified information, fake news, and planted stories, spread easily on the internet, leading to severe consequences such as public riots, lynching, communal tensions, misconception about facts, defamation etc.
Platform-centric measures to mitigate the spread of misinformation
- Google introduced the ‘About this result’ feature’. This allows the users to help with better understand the search results and websites at a glance.
- During the covid-19 pandemic, there were huge cases of misinformation being shared. Google, in April 2020, invested $6.5 million in funding to fact-checkers and non-profits fighting misinformation around the world, including a check on information related to coronavirus or on issues related to the treatment, prevention, and transmission of Covid-19.
- YouTube also have its Medical Misinformation Policy which prevents the spread of information or content which is in contravention of the World Health Organization (WHO) or local health authorities.
- At the time of the Covid-19 pandemic, major social media platforms such as Facebook and Instagram have started showing awareness pop-ups which connected people to information directly from the WHO and regional authorities.
- WhatsApp has a limit on the number of times a WhatsApp message can be forwarded to prevent the spread of fake news. And also shows on top of the message that it is forwarded many times. WhatsApp has also partnered with fact-checking organisations to make sure to have access to accurate information.
- On Instagram as well, when content has been rated as false or partly false, Instagram either removes it or reduces its distribution by reducing its visibility in Feeds.
Fight Against Misinformation
Misinformation is rampant all across the world, and the same needs to be addressed at the earliest. Multiple developed nations have synergised with tech bases companies to address this issue, and with the increasing penetration of social media and the internet, this remains a global issue. Big tech companies such as Meta and Google have undertaken various initiatives globally to address this issue. Google has taken up the initiative to address this issue in India and, in collaboration with Civil Society Organisations, multiple avenues for mass-scale awareness and upskilling campaigns have been piloted to make an impact on the ground.
How to prevent the spread of misinformation?
Conclusion
In the digital media space, there is a widespread of misinformative content and information. Platforms like Google and other social media platforms have taken proactive steps to prevent the spread of misinformation. Users should also act responsibly while sharing any information. Hence creating a safe digital environment for everyone.
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Introduction
Artificial Intelligence (AI) driven autonomous weapons are reshaping military strategy, acting as force multipliers that can independently assess threats, adapt to dynamic combat environments, and execute missions with minimal human intervention, pushing the boundaries of modern warfare tactics. AI has become a critical component of modern technology-driven warfare and has simultaneously impacted many spheres in a technology-driven world. Nations often prioritise defence for significant investments, supporting its growth and modernisation. AI has become a prime area of investment and development for technological superiority in defence forces. India’s focus on defence modernisation is evident through initiatives like the Defence AI Council and the Task Force on Strategic Implementation of AI for National Security.
The main requirement that Autonomous Weapons Systems (AWS) require is the “autonomy” to perform their functions when direction or input from a human actor is absent. AI is not a prerequisite for the functioning of AWSs, but, when incorporated, AI could further enable such systems. While militaries seek to apply increasingly sophisticated AI and automation to weapons technologies, several questions arise. Ethical concerns have been raised for AWS as the more prominent issue by many states, international organisations, civil society groups and even many distinguished figures.
Ethical Concerns Surrounding Autonomous Weapons
The delegation of life-and-death decisions to machines is the ethical dilemma that surrounds AWS. A major concern is the lack of human oversight, raising questions about accountability. What if AWS malfunctions or violates international laws, potentially committing war crimes? This ambiguity fuels debate over the dangers of entrusting lethal force to non-human actors. Additionally, AWS poses humanitarian risks, particularly to civilians, as flawed algorithms could make disastrous decisions. The dehumanisation of warfare and the violation of human dignity are critical concerns when AWS is in question, as targets become reduced to mere data points. The impact on operators’ moral judgment and empathy is also troubling, alongside the risk of algorithmic bias leading to unjust or disproportionate targeting. These ethical challenges are deeply concerning.
Balancing Ethical Considerations and Innovations
It is immaterial how advanced a computer becomes in simulating human emotions like compassion, empathy, altruism, or other emotions as the machine will only be imitating them, not experiencing them as a human would. A potential solution to this ethical predicament is using a 'human-in-the-loop' or 'human-on-the-loop' semi-autonomous system. This would act as a compromise between autonomy and accountability.
A “human-on-the-loop” system is designed to provide human operators with the ability to intervene and terminate engagements before unacceptable levels of damage occur. For example, defensive weapon systems could autonomously select and engage targets based on their programming, during which a human operator retains full supervision and can override the system within a limited period if necessary.
In contrast, a ‘human-in-the-loop” system is intended to engage individual targets or specific target groups pre-selected by a human operator. Examples would include homing munitions that, once launched to a particular target location, search for and attack preprogrammed categories of targets within the area.
International Debate and Regulatory Frameworks
The regulation of autonomous weapons that employ AI, in particular, is a pressing global issue due to the ethical, legal, and security concerns it contains. There are many ongoing efforts at the international level which are in discussion to regulate such weapons. One such example is the initiative under the United Nations Convention on CertainConventional Weapons (CCW), where member states, India being an active participant, debate the limits of AI in warfare. However, existing international laws, such as the Geneva Conventions, offer legal protection by prohibiting indiscriminate attacks and mandating the distinction between combatants and civilians. The key challenge lies in achieving global consensus, as different nations have varied interests and levels of technological advancement. Some countries advocate for a preemptive ban on fully autonomous weapons, while others prioritise military innovation. The complexity of defining human control and accountability further complicates efforts to establish binding regulations, making global cooperation both essential and challenging.
The Future of AI in Defence and the Need for Stronger Regulations
The evolution of autonomous weapons poses complex ethical and security challenges. As AI-driven systems become more advanced, a growing risk of its misuse in warfare is also advancing, where lethal decisions could be made without human oversight. Proactive regulation is crucial to prevent unethical use of AI, such as indiscriminate attacks or violations of international law. Setting clear boundaries on autonomous weapons now can help avoid future humanitarian crises. India’s defence policy already recognises the importance of regulating the use of AI and AWS, as evidenced by the formation of bodies like the Defence AI Project Agency (DAIPA) for enabling AI-based processes in defence Organisations. Global cooperation is essential for creating robust regulations that balance technological innovation with ethical considerations. Such collaboration would ensure that autonomous weapons are used responsibly, protecting civilians and combatants, while encouraging innovation within a framework prioritising human dignity and international security.
Conclusion
AWS and AI in warfare present significant ethical, legal, and security challenges. While these technologies promise enhanced military capabilities, they raise concerns about accountability, human oversight, and humanitarian risks. Balancing innovation with ethical responsibility is crucial, and semi-autonomous systems offer a potential compromise. India’s efforts to regulate AI in defence highlight the importance of proactive governance. Global cooperation is essential in establishing robust regulations that ensure AWS is used responsibly, prioritising human dignity and adherence to international law, while fostering technological advancement.
References
● https://indianexpress.com/article/explained/reaim-summit-ai-war-weapons-9556525/