#FactCheck - AI-Generated Video Falsely Shared as Iran’s Attack on Israeli Nuclear Site

Introduction

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India’s new Policy for Data Sharing from the National Transport Repository (NTR) released by the Ministry of Road Transport and Highways (MoRTH) in August, 2025, can be seen as a constitutional turning point and a milestone in administrative efficiency. The state has established an unprecedentedly large unified infrastructure by combining the records of 390 million vehicles, 220 million driver’s licenses, and the streams from the e-challan, e-DAR, and FASTag systems. Its supporters hail its promise of private-sector innovation, data-driven research, and smooth governance. However, there is a troubling paradox beneath this facade of advancement: the very structures intended to improve citizen mobility may simultaneously strengthen widespread surveillance. Without strict protections, the NTR runs the risk of violating the constitutional trifecta of need, proportionality, and legality as stated in Puttaswamy v. UOI, which brings to light important issues at the nexus of liberty, law, and data.  

The other pertinent question to be addressed is as India unifies one of its comprehensive datasets on citizen mobility the question becomes more pressing: while motorised citizens are now in the spotlight for accountability, what about the millions of other datasets that are still dispersed, unregulated, and shared inconsistently in the areas of health, education, telecom, and welfare?

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The Legal Backdrop

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MoRTH grounds its new policy in Sections 25A and 62B of the Motor Vehicles Act, 1988. Data is consolidated into a single repository since states are required by Section 136A to electronically monitor road safety. According to the policy, it complies with the Digital Personal Data Protection Act, 2023. 

The DPDP Act itself, however, is rife with state exclusions, particularly Sections 7 and 17, which give government organisations access to personal information for “any function under any law” or for law enforcement purposes. This is where the constitutional issue lies. Prior judicial supervision, warrants, or independent checks are not necessary. With legislative approval, MoRTH is essentially creating a national vehicle database without any constitutional protections. 

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Data, Domination and the New Privacy Paradigm

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As an efficiency and governance reform, VAHAN, SARATHI, e-challan, eDAR, and FASTag are being consolidated into a single National Transport Repository (NTR). However, centralising extensive mobility and identity-linked records on a large scale is more than just a technical advancement; it also changes how the state and private life interact. The NTR must therefore be interpreted through a more comprehensive privacy paradigm, one that acknowledges that data aggregation is a means of enhancing administrative capacity and has the potential to develop into a long-lasting tool of social control and surveillance unless both technological and constitutional restrictions are placed at the same time. 

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Two recent doctrinal developments sharpen this concern. First, the Supreme Court’s foundational ruling that privacy is a fundamental right remains the constitutional lodestar, any state interference must satisfy legality, necessity and proportionality (KS Puttaswamy & Anr. vs UOI). Second, as seen by the court’s most recent refusals to normalise ongoing, warrantless location monitoring, such as the ruling overturning bail requirements that required accused individuals to provide a Google maps pin, as movement tracking necessitates closer examination (Frank Vitus v. Narcotics Control Bureau & Ors.,).When taken as a whole, these authorities maintain that unrestricted, ongoing access to mobility and toll-transaction records is a constitutional issue and cannot be handled as an administrative convenience. 

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Structural Fault Lines in the NTR Framework

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Fundamentally, the NTR policy generates structural vulnerabilities by providing nearly unrestricted access through APIs and even mass transfers on physical media to a broad range of parties, including insurance companies, law enforcement, and intelligence services. This design undermines constitutional protections in three ways: first, it makes it possible to draw conclusions about private life patterns that the Supreme Court has identified as one of the most sensitive data categories by exposing rich mobility trails like FASTag logs and vehicle-linked identities; Second, it allows bulk datasets to circulate outside the ministry’s custodial boundary, which creates the possibility of function creep, secondary use, and monetisation risks reminiscent of the bulk sharing regime that the government itself once abandoned; and third, it introduces coercive exclusion by tying private sector access to Aadhaar-based OTP consent. 

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Reference

• https://morth.nic.in/sites/default/files/circulars_document/Data-Sharing-policy-20082025-merged.pdf

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India is the world's largest democracy, and conducting free and fair elections is a mammoth task shouldered by the Election Commission of India. But technology is transforming every aspect of the electoral process in the digital age, with Artificial Intelligence (AI) being integrated into campaigns, voter engagement, and election monitoring. In the upcoming Bihar elections of 2025, all eyes are on how the use of AI will influence the state polls and the precedent it will set for future elections.

Opportunities: Harnessing AI for Better Elections

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Breaking Language Barriers with AI: 

AI is reshaping political outreach by making speeches accessible in multiple languages. At the Kashi Tamil Sangamam in 2024, the PM’s Hindi address was AI-dubbed in Tamil in real time. Since then, several speeches have been rolled out in eight languages, ensuring inclusivity and connecting with voters beyond Hindi-speaking regions more effectively.

Monitoring and Transparency 

During Bihar’s Panchayat polls, the State Election Commission used Staqu’s JARVIS, an AI-powered system that connects with CCTV cameras to monitor EVM screens in real time. By reducing human error, JARVIS brought greater accuracy, speed, and trust to the counting process.

AI for Information Access on Public Service Delivery

NaMo AI is a multilingual chatbot that citizens can use to inquire about the details of public services. The feature aims to make government schemes easy to understand, transparent, and help voters connect directly with the policies of the government. 

Personalised Campaigning   

AI is transforming how campaigns connect with voters. By analysing demographics and social media activity, AI builds detailed voter profiles. This helps craft messages that feel personal, whether on WhatsApp, a robocall, or a social media post, ensuring each group hears what matters most to them. This aims to make political outreach sharper and more effective.

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Challenges: The Dark Side of AI in Elections

Deepfakes and Disinformation

AI-powered deepfakes create hyper-realistic videos and audio that are nearly impossible to distinguish from the real. In elections, they can distort public perception, damage reputations, or fuel disharmony on social media. There is a need for mandatory disclaimers stating when content is AI-generated, to ensure transparency and protect voters from manipulative misinformation.

Data Privacy and Behavioural Manipulation

Cambridge Analytica’s consulting services, provided by harvesting the data of millions of users from Facebook without their consent,  revealed how personal data can be weaponised in politics. This data was allegedly used to “microtarget” users through ads, which could influence their political opinions. Data mining of this nature can be supercharged through AI models, jeopardising user privacy, trust, safety, and casting a shadow on democratic processes worldwide. 

Algorithmic Bias

AI systems are trained on datasets.  If the datasets contain biases, AI-driven tools could unintentionally reinforce stereotypes or favor certain groups, leading to unfair outcomes in campaigning or voter engagement.

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The Road Ahead: Striking a Balance

The adoption of AI in elections opens a Pandora's box of uncertainties.  On the one hand, it offers solutions for breaking language barriers and promoting inclusivity. On the other hand, it opens the door to manipulation and privacy violations. 

To counter risks from deepfakes and synthetic content, political parties are now advised to clearly label AI-generated materials and add disclaimers in their campaign messaging. In Delhi, a nodal officer has even been appointed to monitor social media misuse, including the circulation of deepfake videos during elections. The Election Commission of India constantly has to keep up with trends and tactics used by political parties to ensure that elections remain free and fair.  

Conclusion

With Bihar’s pioneering experiments with JARVIS in Panchayat elections to give vote counting more accuracy and speed,  India is witnessing both sides of this technological revolution. The challenge lies in ensuring that AI strengthens democracy rather than undermining it. Deepfakes algorithms, bias, and data misuse remind us of the risk of when technology oversteps. The real challenge is to strike the right balance in embracing AI for elections to enhance inclusivity and transparency,  while safeguarding trust, privacy, and the integrity of democratic processes. 

References

• https://timesofindia.indiatimes.com/india/how-ai-is-rewriting-the-rules-of-election-campaign-in-india/articleshow/120848499.cms#
• https://m.economictimes.com/news/elections/lok-sabha/india/2024-polls-stand-out-for-use-of-ai-to-bridge-language-barriers/articleshow/108737700.cms
• https://www.ndtv.com/india-news/namo-ai-on-namo-app-a-unique-chatbot-that-will-answer-everything-on-pm-modi-govt-schemes-achievements-5426028 
• https://timesofindia.indiatimes.com/gadgets-news/staqu-deploys-jarvis-to-facilitate-automated-vote-counting-for-bihar-panchayat-polls/articleshow/87307475.cms 
• https://www.drishtiias.com/daily-updates/daily-news-editorials/deepfakes-in-elections-challenges-and-mitigation 
• https://internetpolicy.mit.edu/blog-2018-fb-cambridgeanalytica/ ‍
• https://www.deccanherald.com/elections/delhi/delhi-assembly-elections-2025-use-ai-transparently-eci-issues-guidelines-for-political-parties-3357978#

AI systems have grown in both popularity and complexity on which they operate. They are enhancing accessibility for all, including people with disabilities, by revolutionising sectors including healthcare, education, and public services.  We are at the stage where AI-powered solutions that can help people with mental, physical, visual or hearing impairments perform everyday and complex tasks are being created. 

Generative AI is now being used to amplify human capability. The development of tools for speech-to-text and image recognition is helping in facilitating communication and interaction for visually or hearing-impaired individuals, and smart prosthetics are providing tailored support. Unfortunately, even with these developments, PWDs have continued to face challenges. Therefore, it is important to balance innovation with ethical considerations aand ensuring that these technologies are designed with qualities like privacy, equity, and inclusivity in mind. 

Access to Tech: the Barriers Faced by PWDs 

PWDs face several barriers while accessing technology. Identifying these challenges is important as they lack computer accessibility, in the use of hardware and software, which has become a norm in life nowadays. Website functions that only work when users click with a mouse, self-service kiosks without accessibility features, touch screens without screen reader software or tactile keyboards, and out-of-order equipment, such as lifts, captioning mirrors and description headsets, are just some difficulties that they face in their day-to-day life.

While they are helpful, much of the current technology doesn’t fully address all disabilities. For example, many assistive devices focus on visual or mobility impairments, but they fall short of addressing cognitive or sensory conditions. In addition to this, these solutions often lack personalisation, making them less effective for individuals with diverse needs. AI has significant potential to bridge this gap. With adaptive systems like voice assistants, real-time translation, and personalised features, AI can create more inclusive solutions, improving access to both digital and physical spaces for everyone.

The Importance of Inclusive AI Design

Creating an Inclusive AI design is important. It ensures that PWDs are not excluded from technological advancements because of the impairments that they are suffering from. The concept of an ‘inclusive or universal’ design promotes creating products and services that are usable for the widest possible range of people.  Tech Developers have an ethical responsibility to create advancements in AI that serve everyone. Accessibility features should be built into the core design. They should be treated as a practice rather than an afterthought. However, bias in AI development often stems from data of a non-representative nature, or assumptions can lead to systems that overlook or poorly serve PWDs. If AI algorithms are trained on limited or biased data, they risk excluding marginalised groups, making ethical, inclusive design a necessity for equity and accessibility.

Regulatory Efforts to Ensure Accessible AI

In India, the Rights of Persons with Disabilities Act of 2016 impresses upon the need to provide PWDs with equal accessibility to technology. Subsequently, the DPDP Act of 2023 highlights data privacy concerns for the disabled under section 9 to process their data. 

On the international level, the newly incorporated EU’s AI Act mandates measures for transparent, safe, and fair access to AI systems along with including measures that are related to accessibility. 

In the US, the Americans with Disabilities Act of 1990 and Section 508 of the 1998 amendment to the Rehabilitation Act of 1973 are the primary legislations that work on promoting digital accessibility in public services.

Challenges in implementing Regulations for AI Accessibility for PWDs

Defining the term ‘inclusive AI’ is a challenge. When working on implementing regulations and compliance for the accessibility of AI, if the primary work is left undefined, it makes the task of creating tools to address the issue an issue. The rapid pace of tech and AI development has more often outpaced legal frameworks in development. This leads to the creation of enforcement gaps. Countries like Canada and tech industry giants like Microsoft and Google are leading forces behind creating accessible AI innovations. Their regulatory frameworks focus on developing AI ethics with inclusivity and collaboration with disability rights groups. 

India’s efforts in creating an inclusive AI include the redesign of the Sugamya Bharat app. The app had been created to assist PWDs and the elderly.  It will now be incorporating AI features specifically to assist the intended users. 

Though AI development has opportunities for inclusivity, unregulated development can be risky.  Regulation plays a critical role in ensuring that AI-driven solutions prioritise inclusivity, fairness, and accessibility, harnessing AI’s potential to empower PWDs and contribute to a more inclusive society.

Conclusion

AI development can offer PWDs unprecedented independence and accessibility in leading their lives. The development of AI while keeping inclusivity and fairness in mind is needed to be prioritised. AI that is free from bias, combined with robust regulatory frameworks, together are essential in ensuring that AI serves equitably. Collaborations between tech developers, policymakers, and disability advocates need to be supported and promoted to build AI systems. This will in turn work towards bridging the accessibility gaps for PWDs. As AI continues to evolve, maintaining a steadfast commitment to inclusivity will be crucial in preventing marginalisation and advancing true technological progress for all.

References

• https://www.business-standard.com/india-news/over-1-4k-accessibility-related-complaints-filed-on-govt-app-75-solved-124090800118_1.html 
• https://www.forbes.com/councils/forbesbusinesscouncil/2023/06/16/empowering-individuals-with-disabilities-through-ai-technology/ .
• https://hbr.org/2023/08/designing-generative-ai-to-work-for-people-with-disabilities ‍
• Thehttps://blogs.microsoft.com/on-the-issues/2018/05/07/using-ai-to-empower-people-with-disabilities/andensur,personalization