#FactCheck - Viral Video of Argentina Football Team Dancing to Bhojpuri Song is Misleading

Introduction

The Senate bill introduced on 19 March 2024 in the United States would require online platforms to obtain consumer consent before using their data for Artificial Intelligence (AI) model training. If a company fails to obtain this consent, it would be considered a deceptive or unfair practice and result in enforcement action from the Federal Trade Commission (FTC) under the AI consumer opt-in, notification standards, and ethical norms for training (AI Consent) bill. The legislation aims to strengthen consumer protection and give Americans the power to determine how their data is used by online platforms. 

The proposed bill also seeks to create standards for disclosures, including requiring platforms to provide instructions to consumers on how they can affirm or rescind their consent. The option to grant or revoke consent should be made available at any time through an accessible and easily navigable mechanism, and the selection to withhold or reverse consent must be at least as prominent as the option to accept while taking the same number of steps or fewer as the option to accept.

The AI Consent bill directs the FTC to implement regulations to improve transparency by requiring companies to disclose when the data of individuals will be used to train AI and receive consumer opt-in to this use. 
The bill also commissions an FTC report on the technical feasibility of de-identifying data, given the rapid advancements in AI technologies, evaluating potential measures companies could take to effectively de-identify user data.

The definition of ‘Artificial Intelligence System’ under the proposed bill

ARTIFICIALINTELLIGENCE SYSTEM- The term artificial intelligence system“ means a machine-based system that—

1. Is capable of influencing the environment by producing an output, including predictions, recommendations or decisions, for a given set of objectives; and
2. 2. Uses machine or human-based data and inputs to

(i) Perceive real or virtual environments;

(ii) Abstract these perceptions into models through analysis in an automated manner (such as by using machine learning) or manually; and

(iii) Use model inference to formulate options for outcomes.

Importance of the proposed AI Consent Bill USA

1. Consumer Data Protection: The AI Consent bill primarily upholds the privacy rights of an individual. Consent is necessitated from the consumer before data is used for AI Training; the bill aims to empower individuals with unhinged autonomy over the use of personal information. The scope of the bill aligns with the greater objective of data protection laws globally, stressing the criticality of privacy rights and autonomy.

2. Prohibition Measures: The proposed bill intends to prohibit covered entities from exploiting the data of consumers for training purposes without their consent. This prohibition extends to the sale of data, transfer to third parties and usage. Such measures aim to prevent data misuse and exploitation of personal information. The bill aims to ensure companies are leveraged by consumer information for the development of AI without a transparent process of consent.

3. Transparent Consent Procedures: The bill calls for clear and conspicuous disclosures to be provided by the companies for the intended use of consumer data for AI training. The entities must provide a comprehensive explanation of data processing and its implications for consumers. The transparency fostered by the proposed bill allows consumers to make sound decisions about their data and its management, hence nurturing a sense of accountability and trust in data-driven practices.

4. Regulatory Compliance: The bill's guidelines call for strict requirements for procuring the consent of an individual. The entities must follow a prescribed mechanism for content solicitation, making the process streamlined and accessible for consumers. Moreover, the acquisition of content must be independent, i.e. without terms of service and other contractual obligations. These provisions underscore the importance of active and informed consent in data processing activities, reinforcing the principles of data protection and privacy.

5. Enforcement and Oversight: To enforce compliance with the provisions of the bill, robust mechanisms for oversight and enforcement are established. Violations of the prescribed regulations are treated as unfair or deceptive acts under its provisions. Empowering regulatory bodies like the FTC to ensure adherence to data privacy standards. By holding covered entities accountable for compliance, the bill fosters a culture of accountability and responsibility in data handling practices, thereby enhancing consumer trust and confidence in the digital ecosystem.

Importance of Data Anonymization

Data Anonymization is the process of concealing or removing personal or private information from the data set to safeguard the privacy of the individual associated with it. Anonymised data is a sort of information sanitisation in which data anonymisation techniques encrypt or delete personally identifying information from datasets to protect data privacy of the subject. This reduces the danger of unintentional exposure during information transfer across borders and allows for easier assessment and analytics after anonymisation. When personal information is compromised, the organisation suffers not just a security breach but also a breach of confidence from the client or consumer. Such assaults can result in a wide range of privacy infractions, including breach of contract, discrimination, and identity theft.

The AI consent bill asks the FTC to study data de-identification methods. Data anonymisation is critical to improving privacy protection since it reduces the danger of re-identification and unauthorised access to personal information. Regulatory bodies can increase privacy safeguards and reduce privacy risks connected with data processing operations by investigating and perhaps implementing anonymisation procedures.

The AI consent bill emphasises de-identification methods, as well as the DPDP Act 2023 in India, while not specifically talking about data de-identification, but it emphasises the data minimisation principles, which highlights the potential future focus on data anonymisation processes or techniques in India.

Conclusion

The proposed AI Consent bill in the US represents a significant step towards enhancing consumer privacy rights and data protection in the context of AI development. Through its stringent prohibitions, transparent consent procedures, regulatory compliance measures, and robust enforcement mechanisms, the bill strives to strike a balance between fostering innovation in AI technologies while safeguarding the privacy and autonomy of individuals.

References:

• https://fedscoop.com/consumer-data-consent-training-ai-models-senate-bill/#:~:text=%E2%80%9CThe%20AI%20CONSENT%20Act%20gives,Welch%20said%20in%20a%20statement
• https://www.dataguidance.com/news/usa-bill-ai-consent-act-introduced-house#:~:text=USA%3A%20Bill%20for%20the%20AI%20Consent%20Act%20introduced%20to%20House%20of%20Representatives,-ConsentPrivacy%20Law&text=On%20March%2019%2C%202024%2C%20US,the%20U.S.%20House%20of%20Representatives
• https://datenrecht.ch/en/usa-ai-consent-act-vorgeschlagen/
• https://www.lujan.senate.gov/newsroom/press-releases/lujan-welch-introduce-billto-require-online-platforms-receive-consumers-consent-before-using-their-personal-data-to-train-ai-models/

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Introduction

26th November 2024 marked a historical milestone for India as a Hyderabad-based space technology firm TakeMe2Space, announced the forthcoming launch of MOI-TD “(My Orbital Infrastructure - Technology Demonstrator)”, India's first AI lab in space. The mission will demonstrate real-time data processing in orbit, making space research more affordable and accessible according to the Company. The launch is scheduled for mid-December 2024 aboard the ISRO's PSLV C60 launch vehicle. It represents a transformative phase for innovation and exploration in India's AI and space technology integration space. 

The Vision Behind the Initiative

The AI Laboratory in orbit is designed to enable autonomous decision-making, revolutionising satellite exploration and advancing cutting-edge space research. It signifies a major step toward establishing space-based data centres, paving the way for computing capabilities that will support a variety of applications. 

While space-based data centres currently cost 10–15 times more than terrestrial alternatives, this initiative leverages high-intensity solar power in orbit to significantly reduce energy consumption. Training AI models in space could lower energy costs by up to 95% and cut carbon emissions by at least tenfold, even when factoring in launch emissions. It positions MOI-TD as an eco-friendly and cost-efficient solution.

Technological Innovations and Future Impact of AI in Space

This AI Laboratory, MOI-TD includes control software and hardware components, including reaction wheels, magnetometers, an advanced onboard computer, and an AI accelerator. The satellite also features flexible solar cells that could power future satellites. It will enable the processing of real-time space data, pattern recognition, and autonomous decision-making and address the latency issues, ensuring faster and more efficient data analysis, while the robust hardware designs tackle the challenges posed by radiation and extreme space environments. Advanced sensor integration will further enhance data collection, facilitating AI model training and validation.

These innovations drive key applications with transformative potential. It will allow users to access the satellite platform through OrbitLaw, a web-based console that will allow users to upload AI models to aid climate monitoring, disaster prediction, urban growth analysis and custom Earth observation use cases. TakeMe2Space has already partnered with a leading Malaysian university and an Indian school (grades 9 and 10) to showcase the satellite’s potential for democratizing space research. 

Future Prospects and India’s Global Leadership in AI and Space Research 

As per Stanford’s HAI Global AI Vibrancy rankings, India secured 4th place due to its R&D leadership, vibrant AI ecosystem, and public engagement for AI. This AI laboratory is a step further in advancing India’s role in the development of regulatory frameworks for ethical AI use, fostering robust public-private partnerships, and promoting international cooperation to establish global standards for AI applications. 

Cost-effectiveness and technological exercise are some of India’s unique strengths and could position the country as a key player in the global AI and space research arena and draw favourable comparisons with initiatives by NASA, ESA, and private entities like SpaceX. By prioritising ethical and sustainable practices and fostering collaboration, India can lead in shaping the future of AI-driven space exploration.

Conclusion

India’s first AI laboratory in space, MOI-TD, represents a transformative milestone in integrating AI with space technology. This ambitious project promises to advance autonomous decision-making, enhance satellite exploration, and democratise space research. Additionally, factors such as data security, fostering international collaboration and ensuring sustainability should be taken into account while fostering such innovations. With this, India can establish itself as a leader in space research and AI innovation, setting new global standards while inspiring a future where technology expands humanity’s frontiers and enriches life on Earth.

References

• https://www.ptinews.com/story/national/start-up-to-launch-ai-lab-in-space-in-december/2017534 
• https://economictimes.indiatimes.com/tech/startups/spacetech-startup-takeme2space-to-launch-ai-lab-in-space-in-december/articleshow/115701888.cms?from=mdr 
• https://www.ibm.com/think/news/data-centers-space ‍
• https://cio.economictimes.indiatimes.com/amp/news/next-gen-technologies/spacetech-startup-takeme2space-to-launch-ai-lab-in-space-in-december/115718230

Executive Summary

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A video showing a body lying on the ground is being widely circulated on social media with the claim that it shows a Bangladeshi infiltrator who was killed by the Border Security Force (BSF) during an infiltration attempt along the Tripura border. CyberPeace Research Wing  research found the claim to be misleading. While reports confirm that in June 2026 a Bangladeshi national was killed in BSF firing in Tripura’s Unakoti district, the viral video is unrelated to that incident.

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Claim:
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A Facebook reel shared the video claiming that BSF recently shot dead a Bangladeshi infiltrator at the Tripura border, and that the visuals depict the same incident. Link: https://www.facebook.com/reel/1561542888951793 

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Fact Check:
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A reverse image search of keyframes from the viral video led to reports published by Bhaskar English, which carried the same visuals. The reports identified the deceased as Haris Nazir Dar, a Lashkar-e-Taiba terrorist, who was killed during Operation Akhal on 2 August 2025 in Jammu and Kashmir. https://www.bhaskarenglish.in/national/news/2-soldiers-martyred-in-jks-kulgam-3-terrorists-killed-135638183.html

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Further verification also found similar coverage on WION, confirming the same context of the incident. https://www.youtube.com/watch?v=Uhk-7QjPKK8

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Operation Akhal was a major joint counter-terrorism operation conducted in August 2025 in the Akhal forests of Kulgam district, South Kashmir, by the Indian Army’s Chinar Corps, Jammu and Kashmir Police, and the Special Operations Group (SOG). https://newsonair.gov.in/kulgam-encounter-joint-operation-continues-in-akhal-forests-three-terrorists-killed/

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Conclusion:
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The research confirms that the viral video claiming to show a Bangladeshi infiltrator killed by the BSF at the Tripura border is misleading. The footage is from an August 2025 counter-terrorism operation in Jammu and Kashmir and shows Lashkar-e-Taiba terrorist Haris Nazir Dar killed during Operation Akhal.

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