In terms of computer applications, we will see increasing application and adoption of machine learning (ML) and artificial intelligence (AI) techniques. We already see this in shopping recommendations, games, and large social networks. Voice assistants such as Siri, Alexa, and Google Assistant use ML to perform natural language processing and classification to respond appropriately. Such techniques will make interacting with devices increasingly seamless, which will ultimately make technology easier to use while making humans more efficient in finding and managing information. Just like automation and the application of machine learning to businesses and business processes, there are many opportunities to apply similar techniques to government functions.
The cyberspace and the development of new technologies, especially intelligent systems using artificial intelligence, present enormous challenges to computer professionals, data scientists, managers and policy makers. There is a need to address professional responsibility, ethical, legal, societal, and policy issues. This paper presents problems and issues relevant to computer professionals and decision makers and suggests a curriculum for a course on ethics, law and policy. Such a course will create awareness of the ethics issues involved in building and using software and artificial intelligence.
On Friday, Treasury Secretary Steve Mnuchin said he's "not worried at all" about artificial intelligence replacing human workers because it's "50-100 more years" off. In reality, data shows this is already happening -- with an estimated 38 percent of existing U.S. jobs at risk of being turned over to machines by 2030, according to research from PwC. Another study put out by the University of Oxford last year had similar estimates: The researchers found that 47 percent of US jobs were at risk of automation in the next two decades. But despite justified fears of obsolescence in the West, it is actually developing economies that are poised to be hit the hardest by fourth Industrial Revolution, or "Industry 4.0," where machines are networked together in "smart factories" that have little need for human input. This is already evident in China, where the domestic economy exploded in the last two decades thanks to Western companies that moved their manufacturing operations there.
Broadly speaking, there are two prevailing schools of thought on the issue. On the one hand there are fears that increasing levels of automation will render a growing number of job roles unnecessary, leaving human workers redundant and sparking a worldwide employment crisis. The popular "robots stole my job" argument.