#FactCheck - Debunked: AI-Generated Image Circulating as April Solar Eclipse Snapshot

Introduction

Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.

What isQuantum computing?

Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.

‍Interconnected Future  

Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.

1. Enhancing AI Capabilities:

Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.

1. Solving Complex Problems:

The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.

1. Advancements in Finance and Optimisation:

The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.

1. Strengthening Cybersecurity:

Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.

1. Quantum-Inspired AI:

Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.

How Quantum Computing and AI Should be Regulated-

As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.

1. Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
2. Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
3. Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
4. International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
5. Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:

1. Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
2. Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
3. Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
4. Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
5. Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.

Conclusion:

‍Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.

Executive Summary:

The viral social media posts circulating several photos of Indian Army soldiers eating their lunch in the extremely hot weather near the border area in Barmer/ Jaisalmer, Rajasthan, have been detected as AI generated and proven to be false. The images contain various faults such as missing shadows, distorted hand positioning and misrepresentation of the Indian flag and soldiers body features. The various AI generated tools were also used to validate the same. Before sharing any pictures in social media, it is necessary to validate the originality to avoid misinformation.

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Claims:

The photographs of Indian Army soldiers having their lunch in extreme high temperatures at the border area near to the district of Barmer/Jaisalmer, Rajasthan have been circulated through social media.

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Fact Check:

Upon the study of the given images, it can be observed that the images have a lot of similar anomalies that are usually found in any AI generated image. The abnormalities are lack of accuracy in the body features of the soldiers, the national flag with the wrong combination of colors, the unusual size of spoon, and the absence of Army soldiers’ shadows.

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Additionally it is noticed that the flag on Indian soldiers’ shoulder appears wrong and it is not the traditional tricolor pattern. Another anomaly, soldiers with three arms, strengtheness the idea of the AI generated image. 

Furthermore, we used the HIVE AI image detection tool and it was found that each photo was generated using an Artificial Intelligence algorithm.

We also checked with another AI Image detection tool named Isitai, it was also found to be AI-generated.

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After thorough analysis, it was found that the claim made in each of the viral posts is misleading and fake, the recent viral images of Indian Army soldiers eating food on the border  in the extremely  hot afternoon of Badmer were generated using the AI Image creation tool.

Conclusion:

In conclusion, the analysis of the viral photographs claiming to show Indian army soldiers having their lunch in scorching heat in Barmer, Rajasthan reveals many anomalies consistent with AI-generated images. The absence of shadows, distorted hand placement, irregular showing of the Indian flag, and the presence of an extra arm on a soldier, all point to the fact that  the images are artificially created. Therefore, the claim that this image captures real-life events is debunked, emphasizing the importance of analyzing and fact-checking before sharing in the era of common widespread digital misinformation.

• Claim: The photo shows Indian army soldiers having their lunch in extreme heat near the border area in Barmer/Jaisalmer, Rajasthan.
• Claimed on: X (formerly known as Twitter), Instagram, Facebook
• Fact Check: Fake & Misleading

Introduction

A policy, no matter how artfully conceived, is like a timeless idiom, its truth self-evident, its purpose undeniable, standing in silent witness before those it vows to protect, yet trapped in the stillness of inaction, where every moment of delay erodes the very justice it was meant to serve. This is the case of the Digital Personal Data Protection Act, 2023, which holds in its promise a resolution to all the issues related to data protection and a protection framework at par with GDPR and Global Best Practices. While debates on its substantive efficacy are inevitable, its execution has emerged as a site of acute contention. The roll-out and the decision-making have been making headlines since late July on various fronts. The government is being questioned by industry stakeholders, media and independent analysts on certain grounds, be it “slow policy execution”, “centralisation of power” or “arbitrary amendments”. The act is now entrenched in a never-ending dilemma of competing interests under the DPDP Act.

The change to the Right to Information Act (RTI), 2005, made possible by Section 44(3) of the DPDP Act, has become a focal point of debate. This amendment is viewed by some as an attack on weakening the hard-won transparency architecture of Indian democracy by substituting an absolute exemption for personal information for the “public interest override” in Section 8(1)(j) of the RTI Act. 

The Lag Ledger: Tracking the Delays in DPDP Enforcement 

As per a news report of July 28, 2025, the Parliamentary Standing Committee on Information and Communications Technology has expressed its concern over the delayed implementation and has urged the Ministry of Electronics and Information Technology (MeitY) to ensure that data privacy is adequately ensured in the nation. In the report submitted to the Lok Sabha on July 24, the committee reviewed the government’s reaction to the previous recommendations and concluded that MeitY had only been able to hold nine consultations and twenty awareness workshops about the Draft DPDP Rules, 2025. In addition, four brainstorming sessions with academic specialists were conducted to examine the needs for research and development. The ministry acknowledges that this is a specialised field that urgently needs industrial involvement. Another news report dated 30th July, 2025, of a day-long consultation held where representatives from civil society groups, campaigns, social movements, senior lawyers, retired judges, journalists, and lawmakers participated on the contentious and chilling effects of the Draft Rules that were notified in January this year. The organisers said in a press statement the DPDP Act may have a negative impact on the freedom of the press and people’s right to information and the activists, journalists, attorneys, political parties, groups and organisations “who collect, analyse, and disseminate critical information as they become ‘data fiduciaries’ under the law.” 

The DPDP Act has thus been caught up in an uncomfortable paradox: praised as a significant legislative achievement for India’s digital future, but caught in a transitional phase between enactment and enforcement, where every day not only postpones protection but also feeds worries about the dwindling amount of room for accountability and transparency. 

The Muzzling Effect: Diluting Whistleblower Protections

The DPDP framework raises a number of subtle but significant issues, one of which is the possibility that it would weaken safeguards for whistleblowers. Critics argue that the Act runs the risk of trapping journalists, activists, and public interest actors who handle sensitive material while exposing wrongdoing because it expands the definition of “personal data” and places strict compliance requirements on “data fiduciaries.”One of the most important checks on state overreach may be silenced if those who speak truth to power are subject to legal retaliation in the absence of clear exclusions of robust public-interest protections.

Noted lawyer Prashant Bhushan has criticised the law for failing to protect whistleblowers, warning that “If someone exposes corruption and names officials, they could now be prosecuted for violating the DPDP Act.”

Consent Management under the DPDP Act

In June 2025, the National e-Governance Division (NeGD) under MeitY released a Business Requirement Document (BRD) for developing consent management systems under the DPDP Act, 2023. The document supports the idea of “Consent Manager”, which acts as a single point of contact between Data Principals and Data Fiduciaries. This idea is fundamental to the Act, which is now being operationalised with the help of MeitY’s “Code for Consent: The DPDP Innovation Challenge.” The government has established a collaborative ecosystem to construct consent management systems (CMS) that can serve as a single, standardised interface between Data Principals and Data Fiduciaries by choosing six distinct entities, such as Jio Platforms, IDfy, and Zoop. Such a framework could enable people to have meaningful control over their personal data, lessen consent fatigue, and move India’s consent architecture closer to international standards if it is implemented precisely and transparently. 

There is no debate to the importance of this development however, there are various concerns associated with this advancement that must be considered. Although effective, a centralised consent management system may end up being a single point of failure in terms of political overreach and technical cybersecurity flaws. Concerns are raised over the concentration of power over the framing, seeking, and recording of consent when big corporate entities like Jio are chosen as key innovators. Critics contend that the organisations responsible for generating revenue from user data should not be given the responsibility for designing the gatekeeping systems. Furthermore, the CMS can create opaque channels for data access, compromising user autonomy and whistleblower protections, in the absence of strong safeguards, transparency mechanisms and independent oversight. 

Conclusion

Despite being hailed as a turning point in India’s digital governance, the DPDP Act is still stuck in a delayed and unequal transition from promise to reality. Its goals are indisputable, but so are the conundrum it poses to accountability, openness, and civil liberties. Every delay increases public mistrust, and every safeguard that remains unsolved. The true test of a policy intended to safeguard the digital rights of millions lies not in how it was drafted, but in the integrity, pace, and transparency with which it is to be implemented. In the digital age, the true cost of delay is measured not in time, but in trust. CyberPeace calls for transparent, inclusive, and timely execution that balances innovation with the protection of digital rights.

References

• https://www.storyboard18.com/how-it-works/parliamentary-committee-raises-concern-with-meity-over-dpdp-act-implementation-lag-77105.htm 
• https://thewire.in/law/excessive-centralisation-of-power-lawyers-activists-journalists-mps-express-fear-on-dpdp-act
• https://www.medianama.com/2025/08/223-jio-idfy-meity-consent-management-systems-dpdpa/ ‍
• https://www.downtoearth.org.in/governance/centre-refuses-to-amend-dpdp-act-to-protect-journalists-whistleblowers-and-rti-activists