Tech’s Role in Driving Innovation: Why Over-Regulation Stifles Progress

Recently, The Media Institute shared a commentary by Adonis Hoffman suggesting tech should be highly regulated, blaming it for many problems faced by traditional media.  On behalf of the Consumer Technology Association’s (CTA)® 1,300 tech company members, many of which are leading competitors around the world and collectively are driving economic and stock market growth, I strongly disagree with this perspective.  The notion of using government to “tear down” one industry to “boost” another is misguided and harmful to the competitive spirit that drives American innovation and economic success.  

Tech is tackling global challenges and improving lives for billions of people.  Indeed, CTA and CES® partnered with the United Nations to provide and promote solutions for clean water, clean air, health care, and food availability.  As innovators develop solutions saving lives, some media industry lobbyists whose businesses lost market share to innovative competitors push for unnecessary taxes and restrictions on tech – simply because it has disrupted traditional models. 

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Deploying U.S. AI Leadership for COVID-19

Among the cutting-edge technologies being employed by public health experts to map various aspects of COVID-19 both at home and abroad, artificial intelligence (AI) faces a test under life-and-death circumstances.  The ability of AI systems to undertake pattern detection and predict the spread of the pandemic and its treatments is promising.  The benefit of machine learning includes its powerful ability to analyze historic data to find key variables.  This task is dependent upon humans, however, specifically in the ability of data scientists who can work on creating data sets that supercomputers then can model.  On a global basis, this will require pooling both technical and human resources.

Given the unprecedented nature of COVID-19, historic data inputted for AI analysis may be of limited value.  Real-time data comparing growth curves in countries around the world, along with population and demographic information by neighborhood, may prove to be a better vein for producing actionable data anywhere and everywhere.  Automated machine learning also may improve the efficiency of data scientists, enabling them to focus on new data generation while relying on computer-to-computer analysis of massive-scale number crunching.

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The 5G Privacy Opportunity

The Federal Communications Commission announced on Sept. 16 that it would be granting experimental licenses for companies in New York City and Salt Lake City to test new advanced technologies and networks in specific geographic areas.

This initiative, dubbed Innovation Zones, will be especially useful in testing various technologies in real-world settings that will support 5G wireless networks.  These networks will offer a range of advanced wireless services nationwide, with initial rollout in urban centers where spatial and population density makes technical and economic sense.

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