artificial intelligence Archives — LIRNEasia

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.
A white paper exploring the use of AI in classifying misinformation. 
Intended for policymakers, technologists, educators and others, this international collection of 19 short stories delves into AI’s cultural impacts with hesitation and wonder.
Here is what Mark Zuckerberg said in his testimony before a Senate Committee: He also said that while Facebook is beefing up its use of AI to spot and remove offensive content, it will be five to 10 years before the company will have tools to do this automatically. So I was correct in my phrasing in the New York Times op ed: Media companies of all kinds must accept responsibility and deploy artificial intelligence and plain old elbow grease to the task. And people of good will must play their part by calling out falsehoods and reporting those responsible. So let’s apply the elbow grease while working on the AI.
The New York Times carries a story on the wrong conclusions people jump to when they try to self-diagnose on the web. The story does not say that the findings of the study identify a market opportunity for telecenters, but I do. Apparently two percent of all web searches are health related. Given the massive number of searches devoted to Brittany Spears, Paris Hilton and other luminaries, this is a very significant number. Of the people who search the web for health matters, many want to know about symptoms they are experiencing.