Global South Archives — LIRNEasia


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.
In an era marked by the rapid growth of the digital economy, the issue of taxation on technology multinationals has taken centre stage. However, many countries in the Global South find themselves unequipped to harness tax revenue from these digital giants. Several policy options are available to countries. The Organisation for Economic Co-operation and Development (OECD) and the United Nations (UN) have proposed treaty-based solutions, but questions have emerged about the revenue potential of these multilateral proposals, the feasibility of their timely implementation, as well as whose interests they serve. Meanwhile, several countries — including some in the Global South — have implemented their own domestic solutions.
AfterAccess: ICT access and use in India and the Global South. Helani Galpaya (@helanigalpaya) and TharakaAmarasinghe, 7 August 2018, New Delhi
LIRNEasia in partnership with the Centre for Internet and Society (CIS) convened a two-day workshop to discuss a ‘research and policy agenda on big data for sustainable development in the Global South.’ The workshop held in Madrid on the 8th and 9th of October 2016, was a side event of the International Open Data Conference 2016.  The objective of the workshop was to brainstorm ways of establishing Southern-led network to tackle some of the emerging opportunities and challenges in the use of big data in developing countries. The workshop explored a variety of issues around leveraging big data to tackle sustainable development. These include issues around representativity and marginalization, researching harms (competition, privacy, surveillance), researching solutions (legislation, regulation, ethics), and addressing challenges in relation to developing research capacity, accessing data and influencing policy.