#FactCheck: No, PM Modi Did Not Appear in Royal Attire,Image Is AI-Generated

Introduction

India's National Commission for Protection of Child Rights (NCPCR) is set to approach the Ministry of Electronics and Information Technology (MeitY) to recommend mandating a KYC-based system for verifying children's age under the Digital Personal Data Protection (DPDP) Act. The decision to approach or send recommendations to MeitY was taken by NCPCR in a closed-door meeting held on August 13 with social media entities. In the meeting, NCPCR emphasised proposing a KYC-based age verification mechanism. In this background, Section 9 of the Digital Personal Data Protection Act, 2023 defines a child as someone below the age of 18, and Section 9 mandates that such children have to be verified and parental consent will be required before processing their personal data.

Requirement of Verifiable Consent Under Section 9 of DPDP Act

Regarding the processing of children's personal data, Section 9 of the DPDP Act, 2023, provides that for children below 18 years of age, consent from parents/legal guardians is required. The Data Fiduciary shall, before processing any personal data of a child or a person with a disability who has a lawful guardian, obtain verifiable consent from the parent or lawful guardian. Additionally, behavioural monitoring or targeted advertising directed at children is prohibited. 

Ongoing debate on Method to obtain Verifiable Consent

Section 9 of the DPDP Act gives parents or lawful guardians more control over their children's data and privacy, and it empowers them to make decisions about how to manage their children's online activities/permissions. However, obtaining such verifiable consent from the parent or legal guardian presents a quandary. It was expected that the upcoming 'DPDP rules,' which have yet to be notified by the Central Government, would shed light on the procedure of obtaining such verifiable consent from a parent or lawful guardian.

However, In the meeting held on 18th July 2024, between MeitY and social media companies to discuss the upcoming Digital Personal Data Protection Rules (DPDP Rules), MeitY stated that it may not intend to prescribe a ‘specific mechanism’ for Data Fiduciaries to verify parental consent for minors using digital services. MeitY instead emphasised obligations put forth on the data fiduciary under section 8(4) of the DPDP Act to implement “appropriate technical and organisational measures” to ensure effective observance of the provisions contained under this act. 

In a recent update, MeitY held a review meeting on DPDP rules, where they focused on a method for determining children's ages. It was reported that the ministry is making a few more revisions before releasing the guidelines for public input.

CyberPeace Policy Outlook

CyberPeace in its policy recommendations paper published last month, (available here) also advised obtaining verifiable parental consent through methods such as Government Issued ID, integration of parental consent at ‘entry points’ like app stores,  obtaining consent through consent forms, or drawing attention from foreign laws such as California Privacy Law, COPPA, and developing child-friendly SIMs for enhanced child privacy.

CyberPeace in its policy paper also emphasised that when deciding the method to obtain verifiable consent, the respective platforms need to be aligned with the fact that verifiable age verification must be done without compromising user privacy. Balancing user privacy is a question of both technological capabilities and ethical considerations. 

DPDP Act is a brand new framework for protecting digital personal data and also puts forth certain obligations on Data Fiduciaries and provides certain rights to Data Principal. With upcoming ‘DPDP Rules’ which are expected to be notified soon, will define the detailed procedure for the implementation of the provisions of the Act. MeitY is refining the DPDP rules before they come out for public consultation. The approach of NCPCR is aimed at ensuring child safety in this digital era. We hope that MeitY comes up with a sound mechanism for obtaining verifiable consent from parents/lawful guardians after taking due consideration to recommendations put forth by various stakeholders, expert organisations and concerned authorities such as NCPCR. 

References

1. https://www.moneycontrol.com/technology/dpdp-rules-ncpcr-to-recommend-meity-to-bring-in-kyc-based-age-verification-for-children-article-12801563.html
2. https://pune.news/government/ncpcr-pushes-for-kyc-based-age-verification-in-digital-data-protection-a-new-era-for-child-safety-215989/#:~:text=During%20this%20meeting%2C%20NCPCR%20issued,consent%20before%20processing%20their%20data
3. https://www.hindustantimes.com/india-news/ncpcr-likely-to-seek-clause-for-parents-consent-under-data-protection-rules-101724180521788.html
4. https://www.drishtiias.com/daily-updates/daily-news-analysis/dpdp-act-2023-and-the-isssue-of-parental-consent

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Introduction

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Artificial Intelligence (AI) has transcended its role as a futuristic tool; it is already an integral part of the decision-making process in various sectors, including governance, the medical field, education, security, and the economy, worldwide. On the one hand, there are concerns about the nature of AI, its advantages and disadvantages, and the risks it may pose to the world. There are also doubts about the technology’s capacity to provide effective solutions, especially when threats such as misinformation, cybercrime, and deepfakes are becoming more common.

Recently, global leaders have reiterated that the use of AI should continue to be human-centric, transparent, and governed responsibly. The issue of offering unbridled access to innovators, while also preventing harm, is a dilemma that must be resolved.

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AI as a Global Public Good

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In earlier times only the most influential states and large corporations controlled the supply and use of advanced technologies, and they guarded them as national strategic assets. In contrast, AI has emerged as a digital innovation that exists and evolves within a deeply interconnected environment, which makes access far more distributed than before. Usage of AI in a specific country will not only bring its pros and cons to that particular place, but the rest of the world as well. For instance, deepfake scams and biased algorithms will not only affect the people in the country where they are created but also in all other countries where such people might be doing business or communicating. 

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The Growing Threat of AI Misuse

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• Deepfakes, Crime, and Digital Terrorism
  The application of artificial intelligence in the wrong way is quickly becoming one of the main security problems. Deepfake technology is being used to carry out electoral misinformation spread, communicate lies, and create false narratives. Cybercriminals are now making use of AI to make phishing attacks faster and more efficient, hack into security systems, and come up with elaborate social engineering tactics. In the case of extremist groups, AI has the power to give a better quality of propaganda, recruitment, and coordination.

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• Solution - Human Oversight and Safety-by-Design
  To overcome these dangers, a global AI system must be developed based on the principles of safety-by-design. This means incorporating moral safeguards right from the development phase rather than reacting after the damage is done. Moreover, human control is just as vital. Artificial intelligence (AI) systems that influence public confidence, security, or human rights should always be under the control of human decision-makers. Automated decision-making where there is no openness or the possibility of auditing could lead to black-box systems being developed, where the assignment of responsibility is unclear.

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Three Pillars of a Responsible AI Framework 

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1. Equitable Access to AI Technologies
   One of the major hindrances to global AI development is the non-uniformity of access. The provision of high-end computing capability, data infrastructure, and AI research resources is still highly localised in some areas. A sustainable framework needs to be set up so that smaller countries, rural areas, and people speaking different languages will also be able to share the benefits of AI. The distribution of access fairly will be a gradual process, but at the same time, it will lead to the creation of new ideas and improvements in the different places where the local markets are. Thus, there would be no digital divide, and the AI future would not be exclusively determined by the wealthy economies.
2. Population-Level Skilling and Talent Readiness
   AI will have an impact on worldwide working areas. Thus, societies must not only equip their people with the existing job skills but also with the future technology-based skills. Massive AI literacy programs, digital competencies enhancement, and cross-disciplinary education are very important. Forecasting human resources for roles in AI governance, data ethics, cyber security, and modern technologies will help prevent large scale displacement while also promoting growth that is genuinely inclusive.
3. Responsible and Human-Centric Deployment
   Adoption of Responsible AI makes sure that technology is used for social good and not just for making profits. The human-centred AI directs its applications to the sectors like healthcare, agriculture, education, disaster management, and public services, especially the underserved regions in the world that are most in need of these innovations. This strategy guarantees that progress in technology will improve human life instead of making the situation worse for the poor or taking away the responsibility from humans.

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Need for a Global AI Governance Framework

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• Why International Cooperation Matters
  AI governance cannot be fragmented. Different national regulations lead to the creation of loopholes that allow bad actors to operate in different countries. Hence, global coordination and harmonisation of safety frameworks is of utmost importance. A single AI governance framework should stipulate: 

• Clear responsible prohibition on AI misuse in terrorism, deepfakes, and cybercrime .
• Transparency and algorithm audits as a compulsory requirement.
• Independent global oversight bodies.
• Ethical codes of conduct in harmony with humanitarian laws.

Framework like this makes it clear that AI will be shaped by common values rather than being subject to the influence of different interest groups.

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• Talent Mobility and Open Innovation
  If AI is to be universally accepted, then global mobility of talent must be made easier. The flow of innovation takes place when the interaction between researchers, engineers, and policymakers is not limited by borders. 

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• AI, Equity, and Global Development
  The rapid concentration of technology in a few hands poses the risk of widening the gap in equality among countries. Most developing countries are facing the problems of poor infrastructure, lack of education and digital resources. By regarding them only as technology markets and not as partners in innovation, they become even more isolated from the mainstream of development. An AI development mix of human-centred and technology-driven must consider that the global stillness is broken only by the inclusion of the participation of the whole world. For example, the COVID-19 pandemic has already demonstrated how technology can be a major factor in the building of healthcare and crisis resilience. As a matter of fact, when fairly used, AI has a significant role to play in the realisation of the Sustainable Development Goals.

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Conclusion

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AI is located at a crucial junction. It can either enhance human progress or increase the digital risks. Making sure that AI is a global good goes beyond mere sophisticated technology; it requires moral leadership, inclusion in governance, and collaboration between countries. Preventing misuse by means of openness, supervision by humans, and policies that are responsible will be vital in keeping public trust. Properly guided, AI can make society more resilient, speed up development, and empower future generations. The future we choose is determined by how responsibly we act today.

As PM Modi stated ‘AI should serve as a global good, and at the same time nations must stay vigilant against its misuse’. CyberPeace reinforces this vision by advocating responsible innovation and a secure digital future for all.

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References

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• https://www.hindustantimes.com/india-news/ai-a-global-good-but-must-guard-against-misuse-pm-101763922179359.html
• https://www.deccanherald.com/india/g20-summit-pm-modi-goes-against-donald-trumps-stand-seeks-global-governance-for-ai-3807928
• https://timesofindia.indiatimes.com/india/need-global-compact-to-prevent-ai-misuse-pm-modi/articleshow/125525379.cms

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The world of Artificial Intelligence is entering a new phase with the rise of Agentic AI, often described as the third wave of AI evolution. Unlike earlier systems that relied on static models (that learn from the information that is fed) and reactive outputs, Agentic AI introduces intelligent agents that can make decisions, take initiative, and act autonomously in real time. These systems are designed to require minimal human oversight while actively collaborating and learning continuously. Such capabilities indicate an incoming shift, especially in the ways in which Indian businesses can function. For better understanding, Agentic AI is capable of streamlining operations, personalising services, and driving innovations at scale.

India and Agentic AI

Building as we go, India is making continuous strides in the AI revolution- deliberating on government frameworks, and simultaneously adapting. At Microsoft's Pinnacle 2025 summit in Hyderabad, India's pivotal role in shaping the future of Agentic AI was brought to the spotlight. With over 17 million developers on GitHub and ambitions to become the world's largest developer community by 2028, India's tech talent is gearing up to lead global AI innovations. Microsoft's Azure AI Foundry, also highlighted the country's growing influence in the AI landscape.

Indian companies are actively integrating Agentic AI into their operations to enhance efficiency and customer experience. Zomato is leveraging AI agents to optimise delivery logistics, ensuring timely and efficient service. Infosys has developed AI-driven copilots to assist developers in code generation, reducing development time, requiring fewer people to work on a particular project, and improving software quality. 

As per a report by Deloitte, the Indian AI market is projected to grow potentially $20 billion by 2028. However, this is accompanied by significant challenges. 92% of Indian executives identify security concerns as the primary obstacle to responsible AI usage. Additionally, regulatory uncertainties and privacy risks associated with sensitive data were also highlighted.

Challenges in Adoption

Despite the enthusiasm, several barriers hinder the widespread adoption of Agentic AI in India:

• Skills Gap: While the AI workforce is expected to grow to 1.25 million by 2027, the current growth rate of 13% is considered to be insufficient with respect to the demands of the market. 
• Data Infrastructure: Effective AI systems require robust, structured, and accessible datasets. Many organisations lack the necessary data maturity, leading to flawed AI outputs and decision-making failures.
• Trust and Governance: Building trust in AI systems is crucial. Concerns over data privacy, ethical usage, and regulatory compliance require robust governance frameworks to ensure the adoption of AI in a responsible manner.
• Looming fear of job loss: As AI continues to take up more sophisticated roles, a general feeling of hesitancy with respect to the loss of employment/human labour might come in the way of adopting such measures.
• Outsourcing: Currently, most companies prefer outsourcing or buying AI solutions rather than building them in-house. This gives rise to the issue of adapting to evolving needs.

The Road Ahead

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To fully realise the potential of Agentic AI, India must address the following challenges :

• Training the Workforce: Initiatives and workshops tailored for employees that provide AI training can prove to be helpful. Some relevant examples are Microsoft’s commitment to provide AI training to 2 million individuals by 2025 and Infosys's in-house AI training programs.
• Data Readiness: Investing in modern data infrastructure and promoting data literacy are essential to improve data quality and accessibility.
• Establishing Governance Frameworks: Developing clear regulatory guidelines and ethical standards will foster trust and facilitate responsible AI adoption. Like the IndiaAI mission, efforts regarding evolving technology and keeping up with it are imperative.

Agentic AI holds unrealised potential to transform India's business landscape when coupled with innovation and a focus on quality that enhances global competitiveness. India is at a position where by proactively addressing the existing challenges, this potential can be realised and set the foundation for a new technological revolution (along with in-house development), solidifying its position as a global AI leader.

References

• https://economictimes.indiatimes.com/tech/artificial-intelligence/india-facing-shortage-of-agentic-ai-professionals-amid-surge-in-demand/articleshow/120651512.cms?from=mdr
• https://economictimes.indiatimes.com/tech/artificial-intelligence/india-a-global-leader-in-agentic-ai-adoption-deloitte-report/articleshow/119906474.cms?from=mdr
• https://inc42.com/features/from-zomato-to-infosys-why-indias-biggest-companies-are-betting-on-agentic-ai/
• https://www.hindustantimes.com/india-news/agentic-ai-next-big-leap-in-workplace-automation-101742548406693.html
• https://www.deloitte.com/in/en/about/press-room/india-rides-the-agentic-ai-wave.html
• https://www.businesstoday.in/tech-today/news/story/ais-next-chapter-starts-in-india-microsoft-champions-agentic-ai-at-pinnacle-2025-474286-2025-05-01
• https://www.hindustantimes.com/opinion/calm-before-ai-storm-a-moment-to-prepare-101746110985736.html‍
• https://www.financialexpress.com/life/technology/why-agentic-ai-is-the-next-big-thing/3828357/