TechForGood Archives — LIRNEasia


Artificial intelligence is rapidly transforming labour markets worldwide. In the Global South, however, these changes are unfolding unevenly, shaped by labour markets defined by high levels of informality, uneven social protection, and large skills gaps. Against this backdrop, the 66th Annual Conference of the Indian Society of Labour Economics (ISLE) hosted a panel titled “The Global South at an AI Crossroads: Labour Market Transitions Across Africa, Asia, and Latin America” on Monday, 19 January 2026, at Symbiosis International (Deemed) University, Pune.
As Artificial Intelligence (AI) continues to transform the world of work, its impacts in the Global South present urgent and unique challenges. Unlike advanced economies with formal labour markets and stronger safety nets, many countries in the Global South face high levels of informality, limited social protection, and unequal access to skills and digital infrastructure. These issues were explored at “Securing Labour Justice in the Age of AI: A Global South Policy Dialogue,” a pre-summit event held on 15 January 2026 in New Delhi as part of the lead-up to the India AI Impact Summit 2026.
How will AI shape our upcoming presidential election? Can AI-generated fake audio mislead voters? Is AI a threat to election integrity? In an article in the Sunday Times, Sri Lanka, LIRNEasia’s Research Manager and Team Lead: Data, Algorithms, & Policy Merl Chandana highlighted these concerns and emphasised the need to address AI’s potential to create misleading and harmful content. He told the Sunday Times: “AI can generate text, video, audio, and photos.
The European Union’s Digital Services Act (DSA) represents a landmark regulation aimed at creating a safer and more transparent online environment. Central to the DSA are mandates for large online platforms and search engines, referred to as Very Large Online Platforms (VLOPs) and Very Large Online Search Engines (VLOSEs), to conduct Systematic Risk Assessments (SRAs) and engage in meaningful consultations with civil society. At present, VLOPs and VLOSEs in the European Union are conducting their second round of mandatory risk assessments under the DSA. These assessments seek to identify and mitigate systemic risks related to human rights on large platforms. In the meantime, in late June, the Global Network Initiative (GNI) and the Digital Trust & Safety Partnership (DTSP) hosted the European Rights & Risks: Stakeholder Engagement Forum (“the Forum”) in Brussels with the intention of sharing insights on assessing systemic risks to fundamental rights as part of implementing the DSA.
  කෘත්‍රිම බුද්ධිය ලෙසින් පොදු සමාජය බැලූ බැල්මට හ¾දුනා ගන්නේ සංවර්ධිත රටවල දියුණුවේ අග්‍රඵලයකි. එහෙත් ආර්ථික අර්බුදයක කරවටක් ගිලුණු ශ්‍රී ලංකාව වැනි රටකට කෘත්‍රිම බුද්ධියෙන් ළඟා කරගත හැකි වාසි සුළුපටු නොවේ. මේ, ඒ සම්බන්ධයෙන් ලංකාවේ කෘත්‍රිම බුද්ධිය ප්‍රවර්ධනයට රාජ්‍යමය මැදිහත්වීමේ කොටස්කරුවකු වන ලර්න් ඒෂියා ආයතනයේ දත්ත විද්‍යා කණ්ඩායම් ප්‍රධානි මර්ල් චන්දන මහතා සමඟ කළ සාකච්ඡාවකි.   කෘත්‍රිම බුද්ධිය ගැන සරල තාක්ෂණික නිර්වචනයකින් අපි කතාව පටන්ගමු? කෘත්‍රිම බුද්ධිය ගැන නිර්වචනයක් විදිහට ගත්තොත් කාටත් තේරෙන විදිහට මිනිස් මොළය පාවිච්චි කර කරන ක්‍රියාකාරකම් පරිගණක හරහා කෙරෙද්දී අපට ඒකට කෘත්‍රිම බුද්ධිය කියන්න පුළුවන්.