Publications

---

The chapter explores the changing dynamics of Digital Transnational Repression pre- and post-AI introduction, especially following the launch of ChatGPT in November 2022, which rapidly attracted one million users. The emergence of AI and GenAI has transformed the landscape of transnational repression, expanding its scope and making it more difficult to detect and combat.  Read more. 

Artificial intelligence, including generative AI, is transforming the landscape of digital transnational repression. Digital transnational repression includes digital surveillance, deployment of spyware, phishing, and hacking attacks, doxxing, online harassment, and disinformation campaigns, all of which violently threaten targeted individuals, often forcing on them self-censorship and isolation from social media. Read more. 

State and non-state actors are leveraging advanced AI tools to influence operations, evade content moderation, and conduct sophisticated propaganda campaigns across multiple platforms. It highlights recent instances of AI-driven influence operations in the US, the challenges in detecting and countering such activities, and the necessity for a collaborative approach against these emerging threats. Read more.

With more than half of the global population across 78 countries participating in elections in 2024, and with artificial intelligence (AI) derived misinformation and disinformation identified as the foremost global risk factor in terms of election outcomes, multiple black-swan events--that are high impact and difficult to predict but inevitable-- can be anticipated. Read more. 

With the advent of social media more than a decade ago, and now with the emergence of generative artificial intelligence, international security has become increasingly complex in terms of its cross-sectoral and transnational nature. Multilateralism as the only response to international security concerns is an outdated lens; multi-stakeholderism is the new fresh lens. Read more.

To improve communication in the current multi-stakeholder international system, Incident Response teams should provide communication

and engagement training to their internal teams and those identified as relevant third-party

stakeholders and partners. Where appropriate, conducting debriefs and establishing information-

sharing agreements with close partners can be helpful if any sensitive information is shared. Read more.

Using Machine Learning, we analyzed bias in Covid-19 reporting by top five English newspapers in India: how their reporting acted as a catalyst in accelerating Islamophobia in India during Covid19. Alongside the severe havoc that Coronavirus (SARS-CoV-2) wreaked in the global economy, it also unleashed a worldwide pandemic of hate targeting minorities and marginalized groups. Read more.

The objective of this report was to understand the scope and explore possibilities and challenges for implementing 21st-century skills in school curricula for 150 million students in the age group of 14-18 in India. Read more. 

This volume is an attempt to imagine key design and policy questions that would be relevant if India were to move to a blockchain based land records system and answer those questions within the larger legal and policy framework governing the country. Read more.