#FactCheck-Old Dehradun Video Falsely Shared as Police Assault on Women Protesters at Jantar Mantar

‍Introduction 

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In September 2025, social media feeds were flooded with strikingly vintage saree-type portraits. These images were not taken by professional photographers, but AI-generated images. More than a million people turned to the "Nano Banana" AI tool of Google Gemini, uploading their ordinary selfies and watching them transform into Bollywood-style, cinematic, 1990s posters. The popularity of this trend is evident, as are the concerns of law enforcement agencies and cybersecurity experts regarding risks of infringement of privacy, unauthorised data sharing, and threats related to deepfake misuse.

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What is the Trend?

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This trend in AI sarees is created using Google Geminis' Nano Banana image-editing tool, editing and morphing uploaded selfies into glitzy vintage portraits in traditional Indian attire. A user would upload a clear photograph of a solo subject and enter prompts to generate images of cinematic backgrounds, flowing chiffon sarees, golden-hour ambience, and grainy film texture, reminiscent of classic Bollywood imagery. Since its launch, the tool has processed over 500 million images, with the saree trend marking one of its most popular uses. Photographs are uploaded to an AI system, which uses machine learning to alter the pictures according to the description specified. The transformed AI portraits are then shared by users on their Instagram, WhatsApp, and other social media platforms, thereby contributing to the viral nature of the trend.

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Law Enforcement Agency Warnings

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1. A few Indian police agencies have issued strong advisories against participation in such trends. IPS Officer VC Sajjanar warned the public: "The uploading of just one personal photograph can make greedy operators go from clicking their fingers to joining hands with criminals and emptying one's bank account." His advisory had further warned that sharing personal information through trending apps can lead to many scams and fraud.
2. Jalandhar Rural Police issued a comprehensive warning stating that such applications put the user at risk of identity theft and online fraud when personal pictures are uploaded. A senior police officer stated: "Once sensitive facial data is uploaded, it can be stored, analysed, and even potentially misused to open the way for cyber fraud, impersonation, and digital identity crimes.

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The Cyber Crime Police also put out warnings on social media platforms regarding how photo applications appear entertaining but can pose serious risks to user privacy. They specifically warned that selfies uploaded can lead to data misuse, deepfake creation, and the generation of fake profiles, which are punishable under Sections 66C and 66D of the IT Act 2000.

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Consequences of Such Trends

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The massification of AI photo trends has several severe effects on private users and society as a whole. Identity fraud and theft are the main issues, as uploaded biometric information can be used by hackers to generate imitated identities, evading security measures or committing financial fraud. The facial recognition information shared by means of these trends remains a digital asset that could be abused years after the trend has passed. ‘Deepfake’ production is another tremendous threat because personal images shared on AI platforms can be utilised to create non-consensual artificial media. Studies have found that more than 95,000 deepfake videos circulated online in 2023 alone, a 550% increase from 2019. The images uploaded can be leveraged to produce embarrassing or harmful content that can cause damage to personal reputation, relationships, and career prospects.

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Financial exploitation is also when fake applications in the guise of genuine AI tools strip users of their personal data and financial details. Such malicious platforms tend to look like well-known services so as to trick users into divulging sensitive information. Long-term privacy infringement also comes about due to the permanent retention and possible commercial exploitation of personal biometric information by AI firms, even when users close down their accounts.

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Privacy Risks

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A few months ago, the Ghibli trend went viral, and now this new trend has taken over. Such trends may subject users to several layers of privacy threats that go far beyond the instant gratification of taking pleasing images. Harvesting of biometric data is the most critical issue since facial recognition information posted on these sites becomes inextricably linked with user identities. Under Google's privacy policy for Gemini tools, uploaded images might be stored temporarily for processing and may be kept for longer periods if used for feedback purposes or feature development. 

Illegal data sharing happens when AI platforms provide user-uploaded content to third parties without user consent. A Mozilla Foundation study in 2023 discovered that 80% of popular AI apps had either non-transparent data policies or obscured the ability of users to opt out of data gathering. This opens up opportunities for personal photographs to be shared with anonymous entities for commercial use. Exploitation of training data includes the use of personal photos uploaded to enhance AI models without notifying or compensating users. Although Google provides users with options to turn off data sharing within privacy settings, most users are ignorant of these capabilities. Integration of cross-platform data increases privacy threats when AI applications use data from interlinked social media profiles, providing detailed user profiles that can be taken advantage of for purposeful manipulation or fraud. Inadequacy of informed consent continues to be a major problem, with users engaging in trends unaware of the entire context of sharing information. Studies show that 68% of individuals show concern regarding the misuse of AI app data, but 42% use these apps without going through the terms and conditions.

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CyberPeace Expert Recommendations

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While the Google Gemini image trend feature operates under its own terms and conditions, it is important to remember that many other tools and applications allow users to generate similar content. Not every platform can be trusted without scrutiny, so users who engage in such trends should do so only on trustworthy platforms and make reliable, informed choices. Above all, following cybersecurity best practices and digital security principles remains essential.

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Here are some best practices:-

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1.Immediate Protection Measures for User

In a nutshell, protection of personal information may begin by not uploading high-resolution personal photos into AI-based applications, especially those trained for facial recognition. Instead, a person can play with stock images or non-identifiable pictures to the degree that it satisfies the program's creative features without compromising biometric security. Strong privacy settings should exist on every social media platform and AI app by which a person can either limit access to their data, content, or anything else.

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2.Organisational Safeguards

AI governance frameworks within organisations should enumerate policies regarding the usage of AI tools by employees, particularly those concerning the upload of personal data. Companies should appropriately carry out due diligence before the adoption of an AI product made commercially available for their own use in order to ensure that such a product has its privacy and security levels as suitable as intended by the company. Training should instruct employees regarding deepfake technology.

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3.Technical Protection Strategies

Deepfake detection software should be used. These tools, which include Microsoft Video Authenticator, Intel FakeCatcher, and Sensity AI, allow real-time detection with an accuracy higher than 95%. Use blockchain-based concepts to verify content to create tamper-proof records of original digital assets so that the method of proposing deepfake content as original remains very difficult.

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4.Policy and Awareness Initiatives

For high-risk transactions, especially in banks and identity verification systems, authentication should include voice and face liveness checks to ensure the person is real and not using fake or manipulated media. Implement digital literacy programs to empower users with knowledge about AI threats, deepfake detection techniques, and safe digital practices. Companies should also liaise with law enforcement, reporting purported AI crimes, thus offering assistance in combating malicious applications of synthetic media technology.

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5.Addressing Data Transparency and Cross-Border AI Security

Regulatory systems need to be called for requiring the transparency of data policies in AI applications, along with providing the rights and choices to users regarding either Biometric data or any other data. Promotion must be given to the indigenous development of AI pertaining to India-centric privacy concerns, assuring the creation of AI models in a secure, transparent, and accountable manner. In respect of cross-border AI security concerns, there must be international cooperation for setting common standards of ethical design, production, and use of AI. With the virus-like contagiousness of AI phenomena such as saree editing trends, they portray the potential and hazards of the present-day generation of artificial intelligence. While such tools offer newer opportunities, they also pose grave privacy and security concerns, which should have been considered quite some time ago by users, organisations, and policy-makers. Through the setting up of all-around protection mechanisms and keeping an active eye on digital privacy, both individuals and institutions will reap the benefits of this AI innovation, and they shall not fall on the darker side of malicious exploitation. 

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References

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1. https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
2. https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
3. https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
4. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
5. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
6. https://socradar.io/top-10-ai-deepfake-detection-tools-2025/

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The European Union (EU) has made trailblazing efforts regarding protection and privacy, coming up with the most comprehensive and detailed regulation called the GDPR (General Data Protection Regulation). As countries worldwide continue to grapple with setting their laws, the EU is already taking on issues with tech giants and focusing on the road ahead. Its contentious issues with Meta and the launch of Meta’s AI assistant in the EU are thus seen as a complex process, shaped by stringent data privacy regulations, ongoing debates over copyright, and ethical AI practices.​ This development is considered important as previously, the EU and Meta have had issues (including fines and and also received a pushback concerning its services), which broadly include data privacy regarding compliance with GDPR, antitrust law concerns- targeting ads, facebook marketplace activities and content moderation with respect to the spread of misinformation. 

Privacy and Data Protection Concerns

A significant part of operating Large Language Models (LLMs) is the need to train them with a repository of data/ plausible answers from which they can source. If it doesn’t find relevant information or the request is out of its scope, programmed to answer, it shall continue to follow orders, but with a reduction in the accuracy of its response. Meta's initial plans to train its AI models using publicly available content from adult users in the EU received a setback from privacy regulators. The Irish Data Protection Commission (DPC), acting as Meta's lead privacy regulator in Europe, raised the issue and requested a delay in the rollout to assess its compliance with GDPR. It has also raised similar concerns with Grok, the AI tool of X, to assess whether the EU users’  data was lawfully processed for training it. 

In response, Meta stalled the release of this feature for around a year and agreed to exclude private messages and data from users under the age of 18 and implemented an opt-out mechanism for users who do not wish their public data to be used for AI training. This approach aligns with GDPR requirements, which mandate a clear legal basis for processing personal data, such as obtaining explicit consent or demonstrating legitimate interest, along with the option of removal of consent at a later stage, as the user wishes. The version/service available at the moment is a text-based assistant which is not capable of things like image generation, but can provide services and assistance which include brainstorming, planning, and answering queries from web-based information. However, Meta has assured its users of expansion and exploration regarding the AI features in the near future as it continues to cooperate with the regulators.

Regulatory Environment and Strategic Decisions

The EU's regulatory landscape, characterised by the GDPR and the forthcoming AI Act, presents challenges for tech companies like Meta. Citing the "unpredictable nature" of EU regulations, Meta has decided not to release its multimodal Llama AI model—capable of processing text, images, audio, and video—in the EU. This decision underscores the tension between innovation and regulatory compliance, as companies navigate the complexities of deploying advanced AI technologies within strict legal frameworks. 

Implications and Future Outlook

Meta's experience highlights the broader challenges faced by AI developers operating in jurisdictions with robust data protection laws. The most critical issue that remains for now is to strike a balance  between  leveraging user data for AI advancement while respecting individual privacy rights.. As the EU continues to refine its regulatory approach to AI, companies need to adapt their strategies to ensure compliance while fostering innovation.​ Stringent measures and regular assessment also keep in check the accountability of big tech companies as they make for profit as well as for the public.

Reference:

• https://thehackernews.com/2025/04/meta-resumes-eu-ai-training-using.html
• https://www.thehindu.com/sci-tech/technology/meta-to-train-ai-models-on-european-users-public-data/article69451271.ece
• https://about.fb.com/news/2025/04/making-ai-work-harder-for-europeans/ 
• https://www.theregister.com/2025/04/15/meta_resume_ai_training_eu_user_posts/ 
• https://noyb.eu/en/twitters-ai-plans-hit-9-more-gdpr-complaints 

• https://www.businesstoday.in/technology/news/story/meta-ai-finally-comes-to-europe-after-a-year-long-delay-but-with-some-limitations-468809-2025-03-21
• https://www.bloomberg.com/news/articles/2025-02-13/meta-opens-facebook-marketplace-to-rivals-in-eu-antitrust-clash
• https://www.nytimes.com/2023/05/22/business/meta-facebook-eu-privacy-fine.html#:~:text=Many%20civil%20society%20groups%20and,million%20for%20a%20data%20leak.
• https://ec.europa.eu/commission/presscorner/detail/en/ip_24_5801
• https://www.thehindu.com/sci-tech/technology/european-union-accuses-facebook-owner-meta-of-breaking-digital-rules-with-paid-ad-free-option/article68358039.ece
• https://www.theregister.com/2025/04/14/ireland_investigation_into_x/ 
• https://www.theverge.com/2024/7/18/24201041/meta-multimodal-llama-ai-model-launch-eu-regulations?utm_source=chatgpt.com
• https://www.axios.com/2024/07/17/meta-future-multimodal-ai-models-eu?utm_source=chatgpt.com 

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Introduction 

India envisions reaching its goal of becoming Viksit Bharat by 2047. With a net-zero emissions target by 2070, it has already reduced GDP emission intensity by 36% (from 2005 to 2020) and is working towards a 45% reduction goal by 2030. This will help the country achieve economic growth while minimizing environmental impact, ensuring sustainable development for the future. The 2025 Union Budget prioritises energy security, clean energy expansion, and green tech manufacturing. Furthermore, India’s promotion of sustainability policies in startups, MSMEs, and clean tech shows its commitment to COP28 and SDGs. India’s key policy developments for sustainability and energy efficiency include the Energy Conservation Act (2022), PAT scheme, S&L scheme, and the Energy Conservation Building Code, driving decarbonization, energy efficiency, and a sustainable future.

India’s Policy and Regulatory Landscape 

The Indian law of Energy Conservation (Amendment) Act which was enacted in 2022 aims at enhancing energy efficiency while ensuring economic growth. It works on the aim of reducing emission intensity by 2030. The Act tackles regulatory, financial, and awareness barriers to promote energy-saving technologies. Next, the Perform, Achieve, and Trade (PAT) Scheme improves cost-effective energy efficiency in energy-intensive industries through tradable energy-saving certificates. Adding on, the PLI Scheme boosts green manufacturing by attracting investments, both domestically and internationally. The Bureau of Energy Efficiency (BEE) enforces Minimum Energy Performance Standards (MEPS) and star ratings for appliances, guiding consumers toward energy-efficient choices. These initiatives collectively drive carbon reduction and sustainable energy use in India.

Growth of Energy-Efficient Technologies 

India has been making massive strides in its integration of renewable energy, such as solar and wind energies, mainly due to improvements in storage technologies. Another key development is the real-time optimization of energy usage through smart grids and AI-driven energy management. The EV and green mobility boom has been charged through by the rapid expansion of charging infrastructure and the policy interventions to support the shift. The building of green building codes and IoT-driven energy management has led to building efficiency, and finally, the efforts for industrial energy optimisation have been met through AI/ML-driven demand-side management in heavy industries. 

Market Trends, Investment, and Industry Adoption 

The World Energy Investment Report 2024 (IEA) projects global energy investment to surpass $3 trillion, with $2 trillion allocated to clean energy. India’s clean energy investment reached $68 billion in 2023, a 40%+ rise from 2016-2020, with nearly 50% directed toward low-emission power, including solar PV. Investment is set to double by 2030 but needs a 20% further rise to meet climate goals.

India’s ESG push is driven by Net Zero 2070, SEBI’s BRSR mandates, and UN SDGs, with rising scrutiny on corporate governance. ESG-aligned investments are expanding, reinforcing sustainability. Meanwhile, energy efficiency in manufacturing minimizes waste and environmental impact, while digital transformation in energy management boosts renewable integration, grid reliability, and cost efficiency, ensuring a sustainable energy transition.

The Way Forward 

There are multiple implementation bottlenecks present for the active policies which include infrastructure paucity, financing issues and even the on-ground implementational challenges of the active policies. To combat these issues India needs to adopt measures for promoting public-private partnerships to scale energy-efficient solutions. Incentives for industries to adopt green technologies should be strengthened (tax exemptions and subsidies for specific periods), with increased R&D support and regulatory sandboxes to encourage adoption. Finally, the role of industries, policymakers and consumers needs to be in tandem to accelerate the efforts made towards a sustainable and green future for India. Emerging technologies play an important in bridging gaps and aim towards the adoption of global best practices for India.

References

• https://instituteofsustainabilitystudies.com/insights/lexicon/green-technologies-innovations-opportunities-challenges/
• https://powermin.gov.in/sites/default/files/The_Energy_Conservation_Amendment_Act_2022_0.pdf‍
• https://www.ibef.org/blogs/esg-investing-in-india-navigating-environmental-social-and-governance-factors-for-sustainable-growth