As part of our big data work, we’ve been thinking about the opacity of the algorithms we use. The pretty picture and tables that result from the research are persuasive, but if people wanted to know how they were derived, it would not be easy to explain. But then, we have to always think about the alternative. A method may be familiar and may have been used for decades if not centuries. But that does not necessarily make it fair.
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.
Organized by LIRNEasia and Internet Society Nepal (ISOC Nepal) (with support from the Ford Foundation). Dates: 14th – 17th July 2017 Location: To be decided OBJECTIVES The objective of the four-day residential course is to produce discerning and knowledgeable consumers of research who are able to engage in broadband policy and regulatory processes. At the end of the course attendees will: − Be able to find and assess relevant research & evidence − Be able to summarize the research in a coherent and comprehensive manner − Understand broadband policy and regulatory processes in Nepal − Have the necessary tools to improve their communication skills − Have some understanding of how media function and how to effectively interact with media WHO MAY APPLY We will be selecting 25 participants (including junior – mid level officers of government and regulatory agencies, university students, lecturers, academics, media personnel and other civil society officers working in related fields) to participate in the course. We hope to have a group of participants diverse in experience and discipline as this would enrich the discussion and give different perspectives of the issues related to broadband. FUNDING • Lowest-cost airfare to and from Location (where applicable).
The government predicted rainfall more than 150 mm on the 25th of May. Over 500 mm of rain fell. Technically, they were not wrong (550 mm is within the range of “more than 150 mm”), but obviously, forecasts like this might as well not be made. [an error was corrected in the above para] But it is wrong to condemn the Met Department which operates even without Doppler radar, though they have been talking about it since 2012. But as discussed below, Doppler radar is old and can only tell about large rain drops.
In a parable I worked up in 2012, I speculated on the possibilities of joint ventures between Internet companies such as Facebook and the last-mile access companies to enhance the user experience. Some details of a dispute in South Korea shed light on the problem: According to SKB, there were initially two ways to connect to Facebook in Korea: via a direct connection to Facebook’s server in Hong Kong and via rerouting to a local cache server in Korea operated by local telecom provider KT. The cache server is used to save online content locally in temporary storage, called a cache, and in turn improve the connection speed for accessing foreign internet services. Facebook currently pays KT to use its cache server. SKB argued that Facebook deliberately cut off its link to KT’s faster cache server last December and has since been clashing over network maintenance issues.