AI is transforming labor markets around the world. Existing research has focused on advanced economies but has neglected developing economies. Different impacts of AI on labor markets in different countries arise not only from heterogeneous occupational structures, but also from the fact that occupations vary across countries in their composition of tasks. We propose a new methodology to translate existing measures of AI impacts that were developed for the US to countries at various levels of economic development. Our method assesses semantic similarities between textual descriptions of work activities in the US and workers' skills elicited in surveys for other countries. We implement the approach using the measure of suitability of work activities for machine learning provided by Brynjolfsson et al. (2018) for the US and the World Bank's STEP survey for Lao PDR and Viet Nam. Our approach allows characterizing the extent to which workers and occupations in a given country are subject to destructive digitalization, which puts workers at risk of being displaced, in contrast to transformative digitalization, which tends to benefit workers. We find that workers in Lao PDR are less likely than in Viet Nam to be in the "machine terrain", where workers will have to adapt to occupational transformations due to AI and are at risk of being partially displaced. Our method based on semantic textual similarities using SBERT is advantageous compared to approaches transferring AI impact scores across countries using crosswalks of occupational codes.
Answer this question… It has made it easier for developed countries to import and export goods, but has sometimes led to the exploitation of workers in developing countries.
Answer this question… It has made it easier for developed countries to import and export goods, but has sometimes led to the exploitation of workers in developing countries.
Answer this question… It has made it easier for developed countries to import and export goods, but has sometimes led to the exploitation of workers in developing countries.
Positive impacts of technology on the economy include increased productivity, efficiency, and innovation, leading to economic growth and job creation. However, negative impacts can include job displacement due to automation, income inequality, and potential cybersecurity risks.
Spoiling underprivileged nations with coca-cola, automobiles, cigarettes, sunglasses, radios, and rock n' roll music, may have been some negative impacts on developing countries.
Potential risks and consequences of developing an endorphin addiction include physical dependence, withdrawal symptoms, impaired judgment, decreased natural endorphin production, and negative impacts on mental health and relationships.
At this time, there are no known asteroids on a collision course with Earth. Scientists continuously monitor near-Earth objects to identify potential threats and are working on developing ways to mitigate any potential impacts.
Consuming GMO squash may have potential health impacts due to the introduction of new proteins or allergens. Environmental impacts may include the development of resistant pests or weeds, as well as the potential for gene flow to wild relatives.
Burning Coal
Conflict analysis is a methodical examination of the causes, dynamics, stakeholders, and potential impacts of a conflict situation. It helps to identify underlying issues, power dynamics, and potential strategies for resolution or management. Conflict analysis is crucial for developing effective interventions that address the root causes of conflicts.
Some environmental impacts on potential energy sources include habitat destruction for hydropower dams, carbon emissions from burning fossil fuels, and land use changes for biomass energy production. It is important to consider these impacts when evaluating the sustainability of potential energy sources.
it kills your child's BRAIN/ it decreases IQ