Pinpointing where poverty is most severe and tracking its changes over time is crucial for helping communities effectively. However, traditional benchmarks like household surveys and national censuses often fall short—they’re expensive, slow, and infrequent. In countries like Sri Lanka, this means we’re often relying on outdated information, hindering our ability to respond to sudden economic shocks or disasters. On top of that, poverty cannot be determined by income data alone, rather its multidimensional, where factors such as infrastructure, access to services, and economic activity also play a role in determining a community’s well-being. To capture these complexities, our DAP team (Data, Algorithms, and Policy) explored something different: how to rethink the way we measure poverty in Sri Lanka using AI with non-traditional data sources? 
Pinpointing where poverty is most severe and tracking its changes over time is crucial for helping communities effectively. However, traditional benchmarks like household surveys and national censuses often fall short—they’re expensive, slow, and infrequent. In countries like Sri Lanka, this means we’re often relying on outdated information, hindering our ability to respond to sudden economic shocks or disasters. On top of that, poverty cannot be determined by income data alone, rather its multidimensional, where factors such as infrastructure, access to services, and economic activity also play a role in determining a community’s well-being. To capture these complexities, our DAP team (Data, Algorithms, and Policy) explored something different: how to rethink the way we measure poverty in Sri Lanka using AI with non-traditional data sources? 
LIRNEasia participated in RightsCon 2025, the world’s largest gathering of digital rights leaders, held in Taipei and online from February 24 to 27, 2025. The event brought together business leaders, policymakers, human rights advocates, technologists, and academics to address the intersection of human rights and technology. As digital landscapes evolve, discussions at RightsCon focused on pressing issues such as data governance, AI regulation, and the future of work—topics that LIRNEasia’s CEO Helani Galpaya, and our Data, Algorithm, and Policy Team Lead Merl Chandana tackled in their panel contributions. Their insights highlighted the challenges facing the Global South and provided actionable strategies for policy and regulatory frameworks. “Information Ecosystems and Troubled Democracy: What Global Research Tells Us” CEO Helani Galpaya participated in two panels. 
The implications of Artificial Intelligence (AI) extend beyond mere technological advancement. There is no doubt that while the Global North is gaining most of the benefits of AI, the Global South faces significant problems, such as biased language models. AI has the potential to transform our media systems. It can also disrupt business models, spread disinformation, and erode trust in society. However, AI also offers a transformative potential to democratise information access and increase digital participation. 
The following article was originally published on the IDRC – Resisting information disorder in the Global South website. LIRNEasia studied information disorder in Asia for a scoping study on challenges of information disorder in the Global South in 2022[1]. We conducted over 80 key informant interviews, including fact checkers and journalist to gather data for the study. Fact checkers and journalists talked about use of digital tools, including AI tools in their day-to-day work. Some of their Digital tools included ‘the Social-People Index, Facebook Ad Library, Crowd Tangle, Sentione, Google fact-check tool, Claim Buster, and TinEye’. 
LIRNEasia concluded its first workshop (30 March, 24’), its first and part of a larger series of initiatives on ‘Artificial Intelligence for Social Good’; intended to raise interest and awareness on the potential of AI to benefit society at large. The event featured a keynote speech by Dr. Romesh Ranawana, Chairman of the national AI strategy committee (Sri Lanka, 2024-28). Dr. Ranawana outlined Sri Lanka’s tactical roadmap for AI development, including its synergies with existing digital policies, the challenges still ahead. 
In a recent interview on the Sirasa Pathikada programme, Professor Rohan Samarajiva, Chair of LIRNEasia, shed light on the potential of Artificial Intelligence (AI) in addressing various challenges and emphasised the need for mindful use of this technology for public benefit. He began by explaining the basic concepts of AI, distinguishing between general AI and narrow AI using simple examples. Prof. Samarajiva then highlighted the application of AI in disaster management, specifically in predicting floods. Drawing attention to Google’s flood forecasting system for the Ganga River in India, he described how AI utilises data from rainfall forecasts, river levels, and historical flood data to generate flood risk maps. 
LIRNEasia recently unveiled “Dissect” – a cutting-edge web tool employing advanced artificial intelligence (AI) tailored for effective fact-checking. What sets this tool apart is its compatibility with Sinhala websites, and its accessibility to anyone from anywhere in the world, making fact-checking accessible to a wider audience. Developed by Appendix Pvt. Ltd. under Watchdog Sri Lanka, the web tool is currently being tested for effectiveness by LIRNEasia. 
Can ChatGPT do the job of a qualitative researcher? Isuru Samaratunga tested out ChatGPT's ability to carry out qualitative data analysis. Here's what he learnt. 
Intended for policymakers, technologists, educators and others, this international collection of 19 short stories delves into AI’s cultural impacts with hesitation and wonder.
It’s a natural progression from big data to AI. Also from thinking about the broad social implications of big data to thinking about ethical issues of AI. So we’re happy that Microsoft is putting a focus on AI ethics. The formal relegation of the Windows franchise, said Michael Cusumano, a professor at the Massachusetts Institute of Technology’s Sloan School of Management, “has been a long time coming.” And such a transition, Mr.
Our colleague Nalaka Gunawardene has written a Facebook post where he asks “Robots in politics? Why not?” This provides a gateway for a substantive discussion on the role of technology in governance. First, we have to rephrase the question. I understand politics to be the art of contributing in various ways to governance.
Been thinking about AI for a while but realized there was nothing on the record. It’s good to have some record of what we are thinking about, as illustrated by the recent tweet I sent showing our first post following the launch of the iPhone. What is artificial intelligence today? Roughly speaking, it’s technology that takes in huge amounts of information from a specific domain (say, loan repayment histories) and uses it to make a decision in a specific case (whether to give an individual a loan) in the service of a specified goal (maximizing profits for the lender). Think of a spreadsheet on steroids, trained on big data.