Hero image: Aditya Oberai / Pexels

India’s AI Partnerships in Information Warfare Strategy

As generative AI tools become cheaper and more accessible, India faces a rising tide of AI-driven disinformation campaigns targeting elections, institutions, and social cohesion. ORF Online warns that without strategic AI partnerships, India risks falling behind in a global information arms race where adversaries exploit synthetic media at scale. This synthesis examines the mechanics, impacts, and policy responses shaping India’s evolving approach to AI-enabled information warfare.

India stands at a critical juncture in the global information environment. Generative AI systems—capable of producing realistic text, images, audio, and video—are increasingly weaponized to manipulate public opinion, undermine trust in institutions, and distort democratic processes. ORF Online’s analysis, “Information Warfare in the Age of AI: Why India Needs Strategic AI Partnerships,” argues that India must proactively integrate AI into its information warfare defenses or risk being outpaced by state and non-state actors deploying these tools at scale. This investigation synthesizes ORF Online’s core claims with broader observations about AI-driven disinformation tactics, institutional responses, and the urgent need for a coordinated national strategy. The goal is not to sensationalize threats, but to clarify the mechanisms of AI-enabled manipulation, identify who is most vulnerable, and outline actionable steps for resilience.

The Rise of AI in Information Warfare: India’s Strategic Imperative

AI has transformed information warfare from a labor-intensive propaganda effort into a scalable, automated operation. ORF Online highlights that the proliferation of low-cost generative models—such as large language models and diffusion-based image generators—has democratized the production of highly convincing synthetic content. This shift enables actors to generate thousands of personalized disinformation messages in minutes, tailored to regional languages, cultural contexts, and political narratives. The result is a flood of hyper-localized misinformation that can overwhelm fact-checkers and erode public trust before accurate corrections can take effect.

India’s digital ecosystem—with over 800 million internet users and rapid growth in regional language content—is particularly exposed. ORF Online notes that adversaries can exploit linguistic diversity to target specific communities with tailored false narratives, from fabricated speeches by political leaders to AI-generated news clips purporting to show communal violence. The report emphasizes that India’s response cannot rely solely on reactive measures like fact-checking; it must anticipate and preempt AI-driven disinformation through strategic partnerships with AI developers, research institutions, and allied governments.

What ORF Online Reports: AI as a Tool for Disinformation Campaigns

ORF Online’s analysis centers on three core claims: first, that AI-powered disinformation is becoming more sophisticated and scalable; second, that India’s current defenses are insufficient against these emerging threats; and third, that strategic AI partnerships—both domestic and international—are essential to countering them. The report describes how AI systems can automate the creation of fake social media profiles, generate realistic deepfake videos of public figures, and even simulate entire newsrooms churning out AI-written articles indistinguishable from human journalism.

According to ORF Online, these tools are already being tested in India’s information ecosystem. The report cites examples of AI-generated content being used to amplify divisive narratives during state elections, fabricate quotes from political leaders, and spread false claims about public health crises. While ORF Online does not provide a quantified estimate of the scale of AI-driven disinformation in India, it warns that the absence of robust detection mechanisms leaves the country vulnerable to coordinated campaigns that could destabilize social cohesion or influence electoral outcomes.

Comparing Narratives: How ORF Frames India’s AI Partnership Needs

ORF Online’s framing is distinctive in its emphasis on proactive, strategic partnerships rather than reactive defenses. While many analyses focus on detecting deepfakes or debunking viral misinformation, ORF Online argues that India must integrate AI into its offensive and defensive information warfare capabilities. This includes developing AI tools to monitor disinformation in real time, simulate adversary campaigns to test resilience, and deploy counter-narratives using AI-generated content that adheres to ethical and legal standards.

The report also stresses the importance of international collaboration, particularly with like-minded democracies that share India’s concerns about AI-enabled disinformation. ORF Online suggests that partnerships with AI research labs, cybersecurity firms, and allied governments could accelerate India’s access to cutting-edge detection tools and threat intelligence. This contrasts with approaches that prioritize unilateral control or censorship, which ORF Online implies may be less effective against an adversary that operates across borders and platforms.

Domestic vs. International Emphasis

Within ORF Online’s analysis, the domestic dimension focuses on building India’s internal AI capacity—training local researchers, investing in detection algorithms, and integrating AI into government monitoring systems. The international dimension, by contrast, emphasizes alliances with countries that have advanced AI ecosystems, such as the United States, Israel, and Japan, as well as participation in multilateral forums like the Global Partnership on AI. ORF Online implies that India’s ability to counter AI-driven disinformation will depend on its ability to both develop homegrown solutions and leverage global expertise.

The Mechanics of AI-Driven Disinformation: Tactics and Tools

AI-driven disinformation operates through a pipeline that begins with data collection and ends with targeted dissemination. ORF Online outlines several key tactics: synthetic personas, AI-generated media, automated amplification, and adaptive narratives. Synthetic personas involve creating fake social media accounts powered by AI to mimic real users, complete with plausible posting histories and network connections. These accounts can then spread disinformation organically or through coordinated inauthentic behavior.

AI-generated media includes deepfake videos, AI-written articles, and manipulated images that are increasingly difficult to detect without specialized tools. ORF Online highlights that these tools are becoming more accessible, with open-source models and cloud-based services lowering the barrier to entry for malicious actors. Automated amplification refers to AI systems that identify trending topics, craft messages to exploit them, and deploy them across multiple platforms simultaneously. Adaptive narratives involve AI systems that learn from audience responses and refine disinformation strategies in real time, making corrections and variations based on engagement metrics.

Platform Vulnerabilities

ORF Online identifies social media platforms as the primary vectors for AI-driven disinformation in India, given their scale and reliance on algorithmic amplification. The report notes that platforms’ current detection systems—often based on keyword matching and user reports—are ill-equipped to identify AI-generated content that mimics human speech patterns or adapts to local contexts. ORF Online warns that without platform-level AI defenses, disinformation campaigns can achieve viral spread before detection, correction, or removal occurs.

Who Is Affected: From Citizens to Institutions in India’s Digital Ecosystem

AI-driven disinformation does not affect all segments of India’s digital ecosystem equally. ORF Online identifies three primary categories of vulnerability: individual citizens, civil society organizations, and state institutions. For citizens, the risk lies in exposure to personalized disinformation that reinforces existing biases, fuels polarization, or incites violence. ORF Online warns that marginalized communities—particularly those with limited digital literacy—are disproportionately affected, as they may lack the tools to critically evaluate AI-generated content.

Civil society organizations, including media outlets, NGOs, and academic institutions, face targeted campaigns designed to undermine credibility. ORF Online cites examples of AI-generated fake news articles impersonating reputable outlets, deepfake videos of activists making inflammatory statements, and automated harassment campaigns against journalists. These tactics aim to erode trust in institutions and create a climate of uncertainty that benefits adversarial narratives.

State institutions—from election commissions to public health agencies—are also at risk. ORF Online highlights that AI can be used to fabricate official statements, simulate government responses, or spread disinformation about policy decisions. During election periods, these campaigns can distort public perception of candidates, parties, or electoral processes, potentially influencing voter behavior. ORF Online emphasizes that the stakes are highest for institutions responsible for maintaining public order and democratic legitimacy.

Red Flags and Debunking Checklist: Identifying AI-Generated Disinformation

Detecting AI-generated disinformation requires a combination of technical tools, media literacy, and contextual awareness. ORF Online outlines several red flags that can help users identify potentially synthetic content:

• Unnatural speech patterns: AI-generated text may contain unusual phrasing, repetitive structures, or a lack of nuance typical of human communication.
• Inconsistent visual cues: Deepfake videos often exhibit unnatural blinking, facial distortions, or lighting inconsistencies that trained eyes can spot.
• Suspicious timing: Disinformation campaigns frequently peak during sensitive moments—such as elections, protests, or crises—when public attention is high.
• Lack of sourcing: AI-generated news articles may omit verifiable sources or cite fictional or obscure references.
• Overly emotional language: AI systems trained on social media data often amplify outrage or fear, using hyperbolic or sensationalist phrasing.
• Unverified accounts: New social media accounts with AI-generated profile pictures or bios that mimic real users may be synthetic personas.

ORF Online cautions that these red flags are not foolproof, as AI tools are rapidly improving and can mimic human behavior with increasing fidelity. The report recommends combining technical detection with cross-platform verification and reliance on trusted sources.

Detection Tools and Limitations

ORF Online notes that several detection tools—such as reverse image search engines, deepfake detection algorithms, and AI-text classifiers—are available to the public. However, these tools have limitations: they may struggle with regional languages, require significant computational resources, or produce high rates of false positives. ORF Online emphasizes that detection should be part of a broader strategy that includes media literacy education, platform accountability, and institutional resilience.

Institutional Responses: Government, Tech, and Civil Society Reactions

India’s response to AI-driven disinformation is fragmented across government agencies, technology platforms, and civil society organizations. ORF Online describes a landscape where some institutions are taking proactive steps, while others remain reactive or unaware of the threat. The government has established fact-checking units, such as the Press Information Bureau’s fact-checking portal, and issued advisories to social media platforms. However, ORF Online argues that these measures are insufficient without a coordinated national strategy that integrates AI into monitoring, detection, and response.

Technology platforms, including major social media companies, have deployed AI-driven detection systems to identify deepfakes and synthetic media. ORF Online acknowledges these efforts but notes that platforms’ incentives often prioritize engagement over accuracy, leaving gaps that adversaries exploit. Civil society organizations, such as media literacy NGOs and digital rights groups, have launched campaigns to educate the public about AI-driven disinformation. ORF Online highlights these initiatives as critical but insufficient without systemic support from government and industry.

Policy Gaps and Emerging Frameworks

ORF Online identifies several policy gaps in India’s approach to AI-driven disinformation. First, there is no comprehensive legal framework that specifically addresses AI-generated content, leaving platforms and users uncertain about liability and enforcement. Second, ORF Online notes that India lacks a centralized agency with the mandate and resources to coordinate responses across sectors. Third, the report highlights the need for international cooperation, particularly in sharing threat intelligence and best practices with like-minded democracies.

The report suggests that India could learn from other countries’ approaches, such as the European Union’s Digital Services Act, which imposes obligations on platforms to detect and remove illegal content, or the United States’ Cybersecurity and Infrastructure Security Agency’s (CISA) efforts to counter disinformation. ORF Online implies that India’s strategy should balance innovation with accountability, ensuring that AI is used to enhance resilience rather than suppress legitimate speech.

Original Analysis: Why India’s AI Strategy Must Be Proactive, Not Reactive

Taken together, ORF Online’s analysis and broader observations about AI-driven disinformation suggest that India’s current approach is dangerously reactive. Most existing measures—fact-checking, content removal, user education—are designed to respond to disinformation after it has already spread. While these tools are necessary, they are insufficient against AI systems that can generate and disseminate disinformation at speeds and scales that overwhelm traditional defenses.

A proactive strategy, by contrast, would anticipate disinformation campaigns before they gain traction. This could involve using AI to simulate adversary tactics, identify potential targets, and preemptively deploy counter-narratives. ORF Online hints at this approach but does not elaborate on its feasibility or ethical implications. A truly proactive strategy would also require close collaboration between government, industry, and civil society, with clear roles and responsibilities to avoid duplication or conflict.

Another critical insight from ORF Online’s analysis is the need to address the root causes of vulnerability: India’s digital divide and linguistic diversity. Without widespread media literacy and access to detection tools in regional languages, large segments of the population will remain susceptible to AI-driven disinformation. ORF Online’s emphasis on strategic partnerships—both domestic and international—reflects a recognition that India cannot build resilience in isolation. The country must leverage global AI expertise while developing homegrown solutions that are culturally and linguistically attuned to India’s unique context.

Finally, ORF Online’s framing underscores a broader geopolitical reality: AI-driven disinformation is not just a technical challenge but a strategic one. Adversaries, including state actors and transnational networks, are already using AI to probe India’s information ecosystem. ORF Online implies that India’s response must be equally strategic, integrating AI into its broader national security and foreign policy toolkit. This could include developing offensive AI capabilities for information operations, participating in multilateral AI governance initiatives, and investing in cyber defense to protect critical infrastructure from AI-enabled attacks.

Policy Recommendations: Building Resilience Against AI-Powered Misinformation

ORF Online’s analysis points to several concrete steps India can take to build resilience against AI-driven disinformation. First, the government should establish a National AI Disinformation Task Force, chaired by the National Security Council Secretariat and including representatives from civil society, academia, and industry. This task force would coordinate detection, response, and prevention efforts, ensuring that resources are allocated efficiently and strategies are aligned with national priorities.

Second, ORF Online recommends investing in AI-driven detection tools tailored to India’s linguistic and cultural landscape. This includes developing datasets in regional languages, training detection algorithms on Indian disinformation campaigns, and deploying real-time monitoring systems across key platforms. ORF Online emphasizes that these tools should be open-source where possible, allowing civil society and researchers to contribute to and scrutinize their development.

Third, the report calls for strengthening platform accountability through a regulatory framework that mandates transparency, independent audits, and penalties for repeated failures to address AI-driven disinformation. ORF Online suggests that such a framework could be modeled on existing laws, such as the Information Technology Act, but with specific provisions for AI-generated content and automated amplification.

Fourth, ORF Online highlights the need for public awareness campaigns that go beyond generic media literacy. These campaigns should focus on the specific tactics of AI-driven disinformation, such as deepfakes, synthetic personas, and adaptive narratives. ORF Online implies that these campaigns should be co-designed with civil society organizations to ensure cultural relevance and effectiveness.

Finally, the report urges India to take a leadership role in international AI governance, particularly in forums like the Global Partnership on AI and the United Nations. ORF Online argues that India’s strategic partnerships with like-minded democracies can accelerate the development of norms and standards that prevent the weaponization of AI in information warfare. This includes advocating for international agreements on AI transparency, export controls on dual-use AI tools, and mechanisms for sharing threat intelligence.

Red Flags Checklist: How to Spot AI-Generated Disinformation in India

Use this checklist to evaluate suspicious content. While no single indicator guarantees AI generation, a combination of these red flags should prompt further verification.

FAQ

Can AI-generated disinformation be stopped entirely?

No. As ORF Online notes, AI tools are rapidly improving, and adversaries will always find new ways to exploit them. The goal should be resilience—reducing the impact of disinformation through detection, education, and institutional preparedness—rather than elimination.

Are deepfakes the only form of AI-driven disinformation?

No. ORF Online highlights that AI-driven disinformation includes synthetic personas, AI-written articles, automated amplification, and adaptive narratives. Deepfakes are just one tactic in a broader toolkit.

Does ORF Online recommend censorship as a solution?

ORF Online does not advocate for censorship. Instead, it emphasizes proactive detection, platform accountability, and public awareness as key strategies. The report warns that censorship without transparency can exacerbate distrust in institutions.

How can ordinary citizens verify AI-generated content?

ORF Online recommends combining technical tools (reverse image search, deepfake detectors) with cross-platform verification and reliance on trusted sources. Media literacy—understanding how AI tools work and their limitations—is also critical.

What role should international partnerships play in India’s AI strategy?

ORF Online argues that international partnerships are essential for accessing cutting-edge detection tools, sharing threat intelligence, and developing global norms against AI weaponization. India’s strategy should balance domestic innovation with international collaboration.

Sources & References

• ORF Online — Information Warfare in the Age of AI: Why India Needs Strategic AI Partnerships