How long will Americans continue to put tech policy news on the back-burner?

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Most economists agree that a more productive workforce leads to a healthier long-term national economy. For more than two-hundred years in the United States, technology innovation has not only allowed businesses of all sizes to expand the scale at which they can operate, but has emerged at the forefront of economic growth in the United States. As long as technological advances help to fuel the economy, industry regulations and policy will continue to sit on the backburner. Technology is the driver of American productivity. …


Over 90 percent of people in China’s largest cities use electronic payment as their primary payment method.

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For years, commercial banks have lended money to individuals and businesses, enabling them to make and receive payments digitally without exchanging cash. Over the past decade, electronic forms of payment and mobile banking have become increasingly available, safe, and cost effective due to technological advances in data processing. From 2013 to 2018, global cash transactions fell from 89 percent to 77 percent. Credit cards too have fallen out of favor, since they require businesses to have processing infrastructure and charge high fees for customer transactions. As of 2018 in North America, over 450 electronic transactions were made per capita per year. In China, over the past few years, cash use has become so obsolete that street beggars use printed QR codes to receive change. More recently, mobile banking and the trading of digital currency — like Bitcoin — has gained popularity. …


If you’re non-white, machine-learning algorithms could be a death sentence.

This article is also a part of the Tech in Policy publication. TIP focuses on technology being used for good and shines a light on its more malicious or neglectful implementations.

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Whether or not you’re aware, your Google searches, questions posed to Siri, and Facebook timeline all rely on artificial intelligence (AI) to perform effectively. Artificial intelligence is the simulation of human intelligence processes by machines. The goal of artificial intelligence is to build models that can perform specific tasks as intelligently as humans can, if not better. Much of the AI you encounter on a daily basis uses a technique known as machine learning, which uses predictive modeling to generate accurate predictions when given random quantities of data. Because predictive models are built to find relational patterns in data, they learn to favor efficiency over fairness. …


It takes 18 minutes for state-sponsored Russian adversaries to move to other systems within a network; that is almost eight times faster than their nearest competitor, North Korea.

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From the Trump campaign’s direct contact with Russian officials in 2014 to the hacks of Democratic campaign staffers’ computers for many months leading up to Election Day in 2016, tensions between the United States and the Russian Federation were brewing long before coming to a public head in November of 2016.

Over the last ten years, Russia’s Intelligence Directorate has transitioned from using cyber-warfare to “project Russian power” to executing attacks aimed at disrupting democratic elections around the world. Russia’s earliest recorded cyberattack was in 2007 when a team of Russian engineers temporarily disabled Estonia’s internet following disputes over the location of the Bronze Soldier of Tallinn. …

Danielle Renee Sisk

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