income inequality
Lady and the Tramp Nextdoor: Online Manifestations of Economic Inequalities in the Nextdoor Social Network
Iqbal, Waleed, Ghafouri, Vahid, Tyson, Gareth, Suarez-Tangil, Guillermo, Castro, Ignacio
From health to education, income impacts a huge range of life choices. Earlier research has leveraged data from online social networks to study precisely this impact. In this paper, we ask the opposite question: do different levels of income result in different online behaviors? We demonstrate it does. We present the first large-scale study of Nextdoor, a popular location-based social network. We collect 2.6 Million posts from 64,283 neighborhoods in the United States and 3,325 neighborhoods in the United Kingdom, to examine whether online discourse reflects the income and income inequality of a neighborhood. We show that posts from neighborhoods with different incomes indeed differ, e.g. richer neighborhoods have a more positive sentiment and discuss crimes more, even though their actual crime rates are much lower. We then show that user-generated content can predict both income and inequality. We train multiple machine learning models and predict both income (R-squared=0.841) and inequality (R-squared=0.77).
Robots perceived as threats in countries with higher inequality
As we step rapidly towards a machine-powered cognitive revolution, the future of work has increasingly been dominated by headlines like "robots are taking your job". According to a World Economic Forum report, 85 million jobs globally will be displaced by robotics and automation. Conversely, advanced technologies will create 97 million new jobs that require more skills and training. That disruption is creating a lot of anxiety. For some, greater automation indicates the end of drudgery and mind-numbing tasks.
How Artificial Intelligence Will Shape Our Future
As AI improves and becomes more powerful, its impact on the world economy will become vastly more significant. It will affect virtually every aspect of the world economy -- from unemployment rates to economic growth, productivity, income inequality and more. Some argue that so far, AI has not had a large enough impact, but as its development accelerates, its effects will grow exponentially. Whether we like it or not, automation and job displacement are already here, slowly pushing the human workforce into different domains. Similar patterns can be found throughout history; new technology made certain products and jobs obsolete, and eventually humans were forced to switch to more innovative products and new jobs.
How many jobs do robots really replace?
This is part 1 of a three-part series examining the effects of robots and automation on employment, based on new research from economist and Institute Professor Daron Acemoglu. In many parts of the U.S., robots have been replacing workers over the last few decades. Some technologists have forecast that automation will lead to a future without work, while other observers have been more skeptical about such scenarios. Now a study co-authored by an MIT professor puts firm numbers on the trend, finding a very real impact -- although one that falls well short of a robot takeover. The study also finds that in the U.S., the impact of robots varies widely by industry and region, and may play a notable role in exacerbating income inequality.
Whoever leads in artificial intelligence in 2030 will rule the world until 2100
To kick off the Future Development blog in 2020, we present the fourth in a four-part series on the future of development. A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths.
Whoever leads in artificial intelligence in 2030 will rule the world until 2100
A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths. Technological leadership will require big digital investments, rapid business process innovation, and efficient tax and transfer systems.
Rise of the machines will displace 20 million workers, warns report
Up to 20 million manufacturing jobs could be lost to robots by 2030, according to a new report by Oxford Economics. The study found that robots will lead to twice as many manufacturing job losses in low-skill areas, thereby aggravating income inequality. The report, "How Robots Change the World", estimates that each new industrial robot eliminates 1.6 manufacturing jobs on average, and calls on governments to prepare with policies including better training and welfare programs, and a universal basic income. It suggests that in Australia, South Australia is most vulnerable to the future robot rollout. The state is Australia's most manufacturing intensive but has the slowest-growing economy and low levels of manufacturing productivity, the report argued.
Robots could take 20 million manufacturing jobs by 2030
New York (CNN Business)Robots are getting better at doing human jobs. That's probably good for the economy -- but there are some serious downsides, too. Machines are expected to displace about 20 million manufacturing jobs across the world over the next decade, according to a report released Wednesday by Oxford Economics, a global forecasting and quantitative analysis firm. That means about 8.5% of the global manufacturing workforce could be displaced by robots. The report also notes that the move to robots tends to generate new jobs as fast as it automates them, however it could contribute to income inequality.
AI/ML in education closes the gap on income inequality
Today, every man, women and child no matter his or her origin, race, or economic circumstance can enrich their lives through educational made available through AI/ML educational learning systems. The caveat is connectivity access. Education assures equality and I believe is a better use of appropriated inequality funds rather than doling them out. I am a proponent of "teaching to fish" for the long-term. Education for all peoples in all countries with all languages will be as equally disseminated depending on the availability of connectivity and AI/ML educational systems.
Tim Kane: How do you measure value? And other great questions for Labor Day
Fox News Flash top headlines for September 1 are here. Check out what's clicking on Foxnews.com As Americans celebrate Labor Day 2019, robots are stealing their jobs, as are immigrants, as are cheap imports from China. The first puzzle is: if all of these nefarious forces of free markets are stealing jobs, how is it that there are more Americans employed than ever before? Today, there are over 151 million workers on U.S. payrolls.