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. 
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.
Wijeratne, Y., de Silva, N. (2020). Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook. LIRNEasia.
The biggest barrier to policing social media is language. Based on a draft LIRNEasia white paper on neural language processing. Published in Foreign Policy.
A whitepaper distilling LIRNEasia's current thoughts on the possibilities and issues with the computation extraction of syntactic and semantic language from digital text.
The news reports suggest that TRAI has already received nearly 1 million submissions to its recent “Consultation Paper on Regulatory Framework for Over-the-top (OTT) services” that has sparked a heated debate on net neutrality. In addition to drafting a response ourselves, we also turned our attention to the problem of analyzing such a large volume of responses. Significant amount of time and effort would be required to read and interpret, as well to even formulate a basic general outline of what the public and other stakeholders are trying to say. To put it mildly, TRAI is going to have its work cut out if they are to give each response due justice. Current and former researchers from our big data team, Kaushalya Madhawa, Danaja Maldeniya, and Nisansa de Silva brainstormed a technology augmented approach to the problem of analyzing the responses.