It seems everyone is talking about digital platforms and digital labor. This is not surprising, given the amount of news Uber alone is creating in many countries, including the ones LIRNEasia works in. Everyone is worried about the impacts on labor and working conditions, while some are optimistic about the welfare effects created, especially for consumers who now have more choice and often cheaper rides. Last year we completed the Sri Lanka part of a project looking at a specific type of platform-enabled economic activity that completes a transition with the buyer and seller never meeting – that of on online freelancing and microwork. We are now looking at the same phenomena in India, and will soon start the same research in Myanmar.
Below is what I planned to say when introducing a panel on foreign policy for national development at the Lakshman Kadiragamar Institute on the 29th of June. Given time constraints, I did not say it all, but it reflects what I did say. Sri Lanka is like Greater Mumbai. Our small size as well as our location define our position in the world and determine our foreign policy. As we become wealthier as a country and as individuals, much of our consumption is of foreign made goods.
I have been asked several times about the feasibility of national online freelancing platforms. There are a few in Sri Lanka. According to this report, it appears that a platform has emerged in Myanmar too. First prize goes to Honey Mya Win. She founded her startup with her programmer sister less than a year ago after quitting her job with a Chinese telecom firm.
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.