AI Archives — LIRNEasia


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.

AI in governance

Posted on August 7, 2017  /  2 Comments

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.