Artificial intelligence supporting hometowns of international students: what, how and why?

According to 2017 PwC report, the biggest beneficiaries of AI are likely to be the United States and China by 2030. Other countries will benefit to a lesser extent. The most significant development in the fields of machine learning and artificial intelligence are predominately English-based. It includes programming languages, code development environment, and even operating systems. Software internationalization is not an easy task and localization may not always be a priority over functionality. A 2017 report by the National Foundation for American Policy shows that over 80% of computer scientists in the United States are international students. Regardless of the US government policies surrounding international students and foreign software developers working in the United States, such students tend to be bilingual and experience dual cultures of their parents' hometown and the place of study or work in the United States. It is easy to code in English but why not many of us can seriously overcome the challenges of language and develop machine learning products that tailor to their hometown? The purpose of this talk is to engage with the audience of international background and provide a set of recommendation on how bilingual students and professionals as well in the United States can help develop AI opportunities that not only supports their future but help support their countries of origin. References: -PwC 2017 report "PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution" https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html -National Foundation for American Policy (October 2017) "The Importance of International Students to American Science and Engineering" http://nfap.com/wp-content/uploads/2017/10/The-Importance-of-International-Students.NFAP-Policy-Brief.October-20171.pdf